Summary Position Summary Associate Vice President - Quality Engineer Specialist (AI) Role Overview: As a Quality Engineer Specialist Leader specializing in artificial intelligence (AI) and Generative AI (GenAI) technologies, you will actively engage in your quality engineering craft and be the visionary driving force behind our transformation to AI-powered quality engineering, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users while driving tangible value for Deloitte's business investments. Leveraging your extensive quality engineering and AI craftsmanship, along with advanced proficiency across multiple quality assurance disciplines and modern AI/GenAI frameworks and models, you will consistently demonstrate an exemplary track record in delivering high-quality, outcome-focused solutions. The ideal candidate will have a strong background in quality assurance, test automation, and a deep understanding of AI and GenAI technologies, including their application to quality engineering. This role is crucial in enhancing our testing frameworks and ensuring the highest quality standards for our products. The team US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Key Responsibilities: Strategic Vision and Alignment: Accountable for crafting and articulating a vision for AI/GenAI as it specifically applies to quality engineering in alignment with the US Deloitte Technology GenAI strategy. Collaborate with diverse stakeholders, including product, engineering, experience, delivery, security, and infrastructure teams across various organizational levels. Advocacy and Technology Roadmap: Advocate for, develop, and communicate the AI/GenAI quality engineering implementation approach to the product engineering teams. Ensure the organization is well-informed about objectives, KPIs, technology roadmaps, and progress. Focus on reuse and leverage of existing quality assets to minimize overall costs with an eye on continuous improvement. Craft Mastery and Objectives Realization: Define, measure, and drive the achievement of KPIs related to quality approaches, automation tools, test data management (e.g., subsetting, masking, generation, virtualization, anonymization), and standards, ensuring they are fit-for-purpose in product testing cycles. Implement advanced techniques such as BDD and GenAI-based automation to evolve testing frameworks and increase automation coverage, minimizing manual quality assurance to exceptional scenarios only. Establish and refine AI/ML/GenAI domain standards and best practices. Remain hands-on with test design and scripting/coding automations, contributing to team velocity during sprints, and actively engage with engineers across the SSDLC. Be self-driven to learn new technologies, experiment with them, and inspire quality engineers to apply new technologies effectively. Capability Evolution and Development: Mentor and develop quality engineers to become masters of their craft. Coach and develop their skills in modern engineering practices, specifically related to AI/ML/GenAI. Showcase learning and mastery by showcasing experiments internally, speaking at conferences, writing whitepapers or blogs, and leading R&D collaborations with academia and communities. Iterative Value Delivery: Embrace an iterative/incremental approach to quality engineering. Apply a leaning-forward approach to navigate complexity and uncertainty. Ensure alignment with customer and business goals through iterative steps and empirical evidence. Customer-Centric Problem Solving: Focus on addressing critical issues faced by customers and users. Align technical solutions with business objectives. Minimize unnecessary technical complexities and overengineering. Drive teams toward peak performance through continuous learning and improvement. Expert Proficiency and Continuous Improvement: Possess deep expertise in modern software engineering and quality engineering practices. Identify inefficiencies and opportunities for innovation. Act as a role model and enhance the product engineering operating model to be lean, adaptable, and responsive to changes, ensuring that quality engineering teams can deliver business value efficiently and effectively. Guide and transform the organization to embrace lean principles and foster a culture of innovation. Tech/Quality Risk Management: Ensure appropriate quality tool use, adoption by quality engineers, and confirm/review that products are tested, scaled, and operated to be free of defects and are secure/compliant, including providing guidance for necessary optimizations. Identify potential quality risks and develop mitigation strategies. This involves proactive problem-solving and contingency planning to address any issues that may arise during development. Influential Communication: Influence, persuade, and drive decision-making processes. Communicate effectively in both written and verbal forms. Craft clear, structured arguments and technical trade-offs supported by evidence. Organizational Engagement and Collaboration: Engage stakeholders at all levels of the organization, from team members to middle management to executives. Build collaborative and constructive relationships. Co-create and drive momentum and value across multiple organizational levels. Key Qualifications: A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. 15+ years of hands-on experience in quality assurance/engineering, test automation including coding the test scripts, and in AI/ML, with last 2 years focused on GenAI as well. Proven experience in Python, TensorFlow, PyTorch, Keras, C#, Julia, and ML libraries. Strong experience in GenAI models and technologies such as OpenAI, Claude, Gemini, LangChain, Vector databases, and approaches like prompt engineering, fine-tuning, etc. Hands-on experience with automation-first techniques like BDD and test automation tools such as TOSCA, Selenium, Gherkin, Functionize, Testim, and AccelQ. Strong experience with cloud hyper-scalers like AWS, Azure, and GCP. Expertise in modern software engineering practices, including Agile methodologies, DevSecOps, SRE, MLOps, and deployment techniques like Blue-Green, and Canary to enable A/B testing approaches. Proven track record of leading and managing high-performing quality engineering teams. Exceptional interpersonal and organizational skills as well as strategic mindset with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 302376 Show more Show less

Role –Senior Gen AI Engineer Location - Chennai - CKC Mode of Interview - In Person Data - 7th June 2025 (Saturday) Job Description Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients Show more Show less

Management Level: Ind & Func AI Decision Science Analyst Location: Bengaluru (Bangalore), Gurugram (Gurgaon), Hyderabad, Chennai. Must-have skills: Programming languages -Python/R, Generative AI, Large Language Models (LLMs), ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API, RAG Applications. Good to have skills : Big data technologies such as Spark or Hadoop,AI model explainability(XAI),bias detection and AI ethics. Familiarity with Edge AI and deploying models on embedded devices for industrial automation. Experience with Reinforcement Learning (RL) and AI-driven optimization techniques. Job Summary We are looking for a Data Scientist / AI Specialist with 1-3 years of experience to join our team and work on client projects in the Automotive & Industrial sectors. This role will involve leveraging traditional Machine Learning (ML), Generative AI (GenAI), Agentic AI, and Autonomous AI Systems to drive innovation, optimize processes, and enhance decision-making in complex industrial environments. Prior experience in the Auto/Industrial industry is a plus, but we welcome candidates from any domain with a strong analytical mindset and a passion for applying AI to real-world business challenges. Roles & Responsibilities: Develop, deploy and monitor AI/ML models in production environments & enterprise systems, including predictive analytics, anomaly detection, and process optimization for clients. Work with Generative AI models (e.g., GPT, Stable Diffusion, DALL·E) for applications such as content generation, automated documentation, code synthesis, and intelligent assistants. Implement Agentic AI systems, including AI-powered automation, self-learning agents, and decision-support systems for industrial applications. Design and build Autonomous AI solutions for tasks like predictive maintenance, supply chain optimization, and robotic process automation (RPA). Work with structured and unstructured data from various sources, including IoT sensors, manufacturing logs, and customer interactions. Optimize and fine-tune LLMs (Large Language Models) for specific business applications, ensuring ethical and explainable AI use. Utilize MOps and AI orchestration tools to streamline model deployment, monitoring, and retraining cycles. Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to align AI solutions with business objectives. Stay updated with cutting-edge AI research in Generative AI, Autonomous AI, and Multi-Agent Systems. Professional & Technical Skills: 1-3 years of experience in Data Science, Machine Learning, or AI-related roles. Proficiency in Python (preferred) or R, and experience with ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API. Strong understanding of Generative AI, Large Language Models (LLMs), and their practical applications. Hands-on experience in fine-tuning and deploying foundation models (e.g., OpenAI, Llama, Claude, Gemini, etc.). Experience with Vector Databases (e.g., FAISS, Chroma, Weaviate, Pinecone) for retrieval-augmented generation (RAG) applications. Knowledge of Autonomous AI Agents (e.g., AutoGPT, BabyAGI) and multi-agent orchestration frameworks. Experience working with SQL and NoSQL databases. Familiarity with cloud platforms (AWS, Azure, or GCP) for AI/ML model deployment. Strong problem-solving and analytical thinking abilities. Ability to communicate complex AI concepts to technical and non-technical stakeholders. Bonus: Experience in Automotive, Industrial, or Manufacturing AI applications (e.g., predictive maintenance, quality inspection, digital twins). Additional Information: Bachelor/Master’s degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record /MBA from top-tier universities. Excellent Communication and Interpersonal Skills. About Our Company | Accenture Experience: Minimum 1-3 years of relevant Data Science, Machine Learning or AI-related roles., Exposure to Industrial & Automotive Firms or Professional Services. Educational Qualification: Bachelor/Master’s degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record or MBA from top-tier universities. Show more Show less

Co-Founder (Technical) – AI Research & Product Studio Remote / India | Equity-Based | Early-Stage We’re building a research-driven AI studio with the vision to explore, incubate, and scale multiple AI-first products—from generative tools to intelligent automation systems. This is just the beginning, and we’re looking for a like-minded Technical Co-Founder who wants to build with purpose, shape the roadmap, and lead the tech behind the vision. If you're a full-stack AI/ML engineer or builder excited about translating cutting-edge research into usable, impactful products—this is your calling. What You’ll Do Own and lead all technical decisions across R&D, architecture, infrastructure, and product development Build AI prototypes and iterate fast using tools like Python, LangChain, OpenAI API, etc. Collaborate closely on idea validation, user feedback, and go-to-market strategy Drive the technical hiring process as we scale Stay updated on the latest in AI/ML research and help integrate relevant innovations into our product pipeline What We’re Looking For Strong programming skills (Python, JS, or similar) and comfort across the stack Hands-on experience with machine learning frameworks (e.g., PyTorch, TensorFlow) or LLM tools (e.g., Hugging Face, OpenAI APIs, LangChain) A hacker mindset—ability to build scrappy MVPs fast and iterate An eye for product thinking: balancing performance, usability, and scalability Bonus: experience with DevOps, cloud infra (AWS/GCP), or MLOps workflows You're excited by early-stage chaos, can work independently, and want to be part of shaping something meaningful What You’ll Get Co-founder equity — we’ll build and own this together Full creative and technical freedom A chance to define the company’s direction from Day 0 A mission-driven journey with high-impact potential Let’s create something the world hasn’t seen yet. Show more Show less

Job Description: Position: Senior Technical Specialist – Data Science Location: Chennai Experience: 8+ Years Domain Expertise: AI/ML, Data Science, Cloud, DevOps, and MLOps Education: B.E. (ECE), MBA (Big Data Analytics). Job Summary: We are seeking an experienced Senior Technical Specialist - Data Science to lead AI/ML initiatives, design scalable data-driven solutions, and drive innovation. The ideal candidate will have strong expertise in AI/ML, data engineering, cloud technologies (Azure), and MLOps, with experience in managing teams and delivering AI-powered solutions for business challenges. Key Responsibilities: • Lead and mentor a team of Data Scientists to develop and deploy AI/ML models. • Architect end-to-end Machine Learning & AI solutions for complex business problems. • Design and implement Generative AI applications, including RAG-based chatbots using LLMs, LangChain, and Azure OpenAI. • Build, deploy, and monitor MLOps pipelines using MLFlow, Kubeflow, and Azure MLOps. • Develop predictive modeling, NLP applications, and deep learning frameworks using TensorFlow, PyTorch, and BERT. • Conduct data analysis and visualization using Power BI, Tableau, Matplotlib, and Streamlit. • Work with DevOps teams to automate ML workflows, optimize cloud infrastructure, and enhance model scalability. • Collaborate with business teams to define AI strategy, data-driven insights, and process improvements. • Research and implement the latest advancements in AI/ML to improve model accuracy and efficiency. Required Skills & Expertise: • Programming: Python, PowerShell, Bash, Perl • Machine Learning & Deep Learning: SVM, KNN, XGBoost, TensorFlow, PyTorch, LSTM • NLP & Generative AI: Spacy, BERT, LangChain, LlamaIndex, LLOps • Data Visualization: Tableau, Power BI, Matplotlib, Streamlit • Cloud & MLOps: Azure ML Studio, Azure OpenAI, Docker, Jenkins, GitHub, MLFlow, ClearML • Database & Big Data: MS-SQL, Data Preprocessing, Feature Engineering Preferred Qualifications: • Azure Data Scientist Certification • HackerRank Python & SQL Certification • Udacity NLP & Deep Learning Certifications Show more Show less

Role & responsibilities Job Title: Software Developer (AI & Dot Net) Only male candidate Job Location: Coimbatore - Tamil Nadu Job Type: Permanent Interview Mode: Virtual/Face to Face Notice period: Immediate joiner Job Description: 1) We are seeking a Software Engineer with proven experience in .NET development with Angular and a strong interest or hands-on exposure in integrating AI technologies. This role is ideal for someone who enjoys building robust backend systems while also exploring innovative ways to enhance products using Generative AI and intelligent automation and LLM's. 2) Develop scalable and maintainable backend applications using C# and .NET (Core/Framework). 3) Design and implement RESTful APIs and microservices architecture. 4) Work on full software development lifecycle from requirements gathering to deployment. 5) Integrate AI features such as chatbots, recommendation engines, document summarization, and smart search using APIs (OpenAI, Azure Cognitive Services, ML.NET, etc.). 6) Collaborate closely with frontend teams, data engineers, and AI/ML experts. 7) Write unit tests and participate in code reviews to ensure high code quality. 8) Participate in architectural discussions and contribute to technical decisions. Required Skills 4+ years of hands-on experience with .NET development ideally using .NET Core / .NET 6+ Front end - Angular or React JS. Experience in Microservices. Strong proficiency in C# , OOP principles , and design patterns. Experience in building and consuming RESTful APIs . Working knowledge of SQL Server or other relational databases. Hands-on experience integrating AI tools (such as OpenAI , ML.NET , or Azure AI APIs ). Familiarity with asynchronous programming , dependency injection, and middleware concepts. Nice to Have Experience with Generative AI tools and LLM's (e.g., ChatGPT, Codex, DALL•E). Knowledge of Python , especially for AI-related scripting or API interaction. Exposure to cloud platforms (preferably Azure) and deployment pipelines. Familiarity with Docker , Kubernetes , and containerized .NET deployments. Understanding of prompt engineering , embeddings , or vector search. Interested male candidate only please apply here. Also share your profile to chidananda@manpower.co.in; Best Regards, HR Team Manpower Group Preferred candidate profile

Job Description Data Scientist and Machine Learning Exp - 4-12 years Location - Hyderabad and Chennai We are seeking a talented and experienced AI & Generative AI Developer to join our team and help us create groundbreaking generative AI models and applications. In this role, you will work closely with our team of data scientists, machine learning engineers, and researchers to develop, implement, and optimize generative LLM and foundational models for various verticals, such as Banking, Retail, Comms, and more. The ideal candidate will have a strong background in artificial intelligence, machine learning, NLP, and deep learning, with a passion for innovation and a drive to push the boundaries of generative AI technologies. Responsibilities Design, develop, and implement cutting-edge generative AI models using state-of-the-art techniques such as General Adversarial Networks (GANs), variational autoencoders (VAEs), and reinforcement learning. Collaborate with cross-functional teams to define project goals, research requirements, and develop innovative solutions. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Stay up-to-date on the latest advancements in generative AI, deep learning, and related fields, and incorporate new techniques and methods into the team's workflow. Develop and maintain clear and concise documentation of generative AI models, processes, and results. Communicate complex concepts and results to both technical and non-technical stakeholders. Provide support and guidance to other team members, and contribute to a positive, collaborative working environment. Lead the development and deployment of large language models (LLMs) and agentic frameworks such as Autogen or CrewAI. Oversee cloud deployments, containerization, and orchestration of AI models to ensure scalability and reliability. Requirements Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Strong background in artificial intelligence, machine learning, NLP, and deep learning, with a focus on generative models. Technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc. Proficiency in programming languages such as Python, and experience (3 - 6 years) with various Python packages (like TensorFlow, PyTorch, or Keras, etc.). Demonstrated experience with generative AI techniques, including GANs, VAEs, and reinforcement learning. Strong analytical and problem-solving skills, with the ability to quickly understand and adapt to new concepts and technologies. Excellent communication and collaboration skills, with the ability to work effectively both independently and as part of a team. Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure. Experience with leading LLMs and agentic frameworks such as Autogen or CrewAI. Experience with cloud deployments, containerization, and orchestration of AI models. Show more Show less

Primary Skillset: Generative AI Services, Machine Learning, Python, Cloud (GCP preferred), MLOps, Prompt Engineering About the Role: We are seeking a visionary and hands-on Lead Software Engineer to drive Generative AI development and exploration initiatives within our technology innovation team. This role is ideal for someone passionate about applying GenAI to real-world enterprise challenges and who enjoys building proof-of-concepts, production-ready solutions, and scalable AI platforms. Key Responsibilities: Lead the design and development of Generative AI applications, including LLM-based solutions, document intelligence, summarization, chatbot development, and intelligent automation Evaluate and integrate GenAI services and APIs (e.g., Vertex AI, OpenAI, Anthropic, HuggingFace) into existing or new platforms Build scalable backend services and data pipelines to support AI/ML workloads Explore and validate use cases across multiple business functions for GenAI application and automation opportunities Mentor junior engineers on GenAI design patterns, best practices, and engineering discipline Partner with data scientists, product teams, and business stakeholders to define requirements, build MVPs, and iterate toward enterprise-scale solutions Champion MLOps practices for GenAI model deployment, monitoring, and lifecycle management Contribute to technical research, architecture recommendations, and the long-term GenAI roadmap Qualifications: Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field 8+ years of experience in software engineering with 2–3 years working directly with AI/ML models or GenAI solutions Strong experience with Python, cloud platforms (especially GCP Vertex AI), and ML frameworks Hands-on experience with LLMs, prompt engineering, fine-tuning, and embeddings Experience in building and integrating GenAI services in real-time or batch applications Solid understanding of machine learning lifecycle, data preprocessing, and deployment pipelines Familiarity with CI/CD pipelines, API development, and cloud-native architectures Excellent communication, collaboration, and stakeholder management skills Show more Show less

🚀Hiring: Technical Co-Founder (Backend-Focused Full-Stack) at The Partner (5% Equity) About Us The Partner is an India-based edtech startup on a mission to empower learners with AI-driven IQ, EQ & career-aptitude assessments and personalized learning roadmaps. Our React + TypeScript + Tailwind frontend MVP is live—and now we need a tech co-founder to build and scale our backend, infrastructure & integrations. What You’ll Do Architect, build & maintain scalable, secure backend services (Node.js, Python/Django, Go, etc.) Design RESTful/GraphQL APIs & collaborate with our frontend team Integrate third-party services: maps (Google Maps/Mapbox), AI models (OpenAI/Gemini Pro), payments, notifications, analytics Own DevOps & infrastructure: Docker, Kubernetes/serverless, CI/CD, AWS/GCP/Azure, Terraform/Pulumi Architect & manage SQL (Postgres/MySQL) + NoSQL (MongoDB/Redis) databases with high availability, backups & performance tuning Implement best-in-class security practices (OWASP, GDPR, India IT Act) Co-lead the tech roadmap, mentor engineers & drive a culture of quality, documentation & continuous learning What We’re Looking For A few years building production-grade backend & full-stack systems Proficiency in at least one backend stack (Node.js, Python/Django, Go, Java/Spring) + modern JS frameworks Hands-on with cloud platforms (AWS/GCP/Azure), containers, orchestration & CI/CD Strong experience integrating external APIs (maps, AI/ML, payments, analytics) Deep knowledge of SQL & NoSQL design, replication & tuning Proven technical leadership, system design & team mentoring Excellent problem-solving, communication & startup mindset Bonus AI/ML deployment & MLOps experience Prior startup/co-founder track record Mobile backend (Firebase, GraphQL, REST) Real-time systems (WebSockets, message queues) Equity & Compensation 5% founder’s equity Competitive stipend/salary + performance milestones Let’s change education—together! 🚀 Show more Show less

Job Title : Full Stack Developer – AI Integration & Prompt Engineering Employment type: Full Time About the Role: We’re looking for a talented Full Stack Developer with strong JavaScript skills and hands-on experience integrating AI models like ChatGPT into web applications. If you’re passionate about AI, prompt engineering, and building intelligent, responsive web apps, this is the perfect opportunity. Key Responsibilities: Build and maintain web applications using JavaScript frameworks (React.js, Node.js, Vue.js). Integrate AI/ML models and APIs (e.g., OpenAI) into scalable web applications. Design, test, and refine effective prompts to drive accurate and meaningful AI responses. Create smooth and responsive AI-driven user experiences, including chat interfaces. Optimize application performance, ensuring high responsiveness and scalability. Experiment with different prompting strategies to improve AI performance and user interaction. Collaborate closely with AI engineers, UI/UX designers, and backend developers to deliver cohesive features. Stay updated on the latest trends in AI/ML, NLP, and JavaScript frameworks. What We’re Looking For: Strong experience with JavaScript, React, Redux, and TypeScript Proven ability to integrate AI APIs (e.g., OpenAI, GPT models) Hands-on experience in prompt engineering and AI model tuning Good understanding of Vector Search and AI application workflows Excellent English communication skills, both verbal and written Familiarity with frontend and backend web development best practices Why Join Us? Be at the forefront of AI innovation in real-world applications Work on exciting projects that merge web technology and artificial intelligence Collaborate with a passionate, forward-thinking team Job Type: Full-time Pay: ₹600,000.00 - ₹800,000.00 per year Schedule: Day shift Monday to Friday Ability to commute/relocate: Peelamedu, Coimbatore, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Experience: AI: 1 year (Preferred) Work Location: In person

DataPune Posted On 22 May 2025 End Date 31 Dec 2025 Required Experience 8 - 14 Years Basic Section Grade Role Lead Employment Type Full Time Employee Category Organisational Group Company NewVision Company Name New Vision Softcom & Consultancy Pvt. Ltd Function Business Units (BU) Department/Practice Data Organization Unit Data Science Region APAC Country India Base Office Location Pune Working Model Hybrid Weekly Off Pune Office Standard State Maharashtra Skills Skill DATA SCIENCE - AI MACHINE LEARNING PYTHON COMPUTRE VISION NLP Highest Education GRADUATION/EQUIVALENT COURSE CERTIFICATION MICROSOFT CERTIFIED: AZURE AI ENGINEER – ASSOCIATE EXAM AI-100 Working Language ENGLISH Job Description 1. Strong proficiency in programming languages like Python and SQL with more than 8 years total experience. 2. 5+ years of experience of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks such as Regression , classification, ensemble model,RNN,LSTM,GRU. 3. 3+ years of experience in NLP, Text analytics, Document AI, OCR, sentiment analysis, entity recognition, topic modeling 4. Proficiency in LangChain, LangGraph and Open LLM frameworks to perform summarization, classification, Name entity recognition, Question answering 5. Proficiency in Generative techniques prompt engineering, Vector DB, LLMs such as OpenAI,LlamaIndex, Azure OpenAI, Agentic Frameworks, Open-source LLMs will be important 6. Hands-on experience in GenAI technology areas including RAG architecture, fine tuning techniques, inferencing frameworks etc. 7. Familiarity with big data technologies/frameworks good to have 8. Sound knowledge of Microsoft Azure preferred

Job Title: Machine Learning Engineer Location: WFO, Gurugram Job Type: Full-time About Us: Netway India is a product-based company known for its flagship brand, Astroyogi – India’s largest marketplace of spiritual sciences across technology platforms and partners. With a passionate and fast-growing team of 110+ members, we are innovating across technology, product, sales, marketing, operations, and content. Astroyogi is the global leader in astrological content, partnered with major platforms like Yahoo!, MSN, DailyHunt, and OTTs like Zee5. With over 5 million users and counting, we are expanding rapidly and investing heavily in next-gen AI capabilities to revolutionize personalized guidance and astrology tech. Position Summary: As a Machine Learning Engineer at Astroyogi, you’ll play a key role in designing and deploying AI-driven features using LLMs, LangChain, and Generative AI frameworks. You’ll work at the intersection of machine learning, intelligent systems, and user personalization to help us build smarter, more intuitive digital experiences for millions of users. This is a hands-on role ideal for early-career professionals passionate about building production-grade AI applications and exploring the frontiers of Agentic AI and Generative Tech. Key Responsibilities: ML & AI Development: Design and implement machine learning models for recommendation, personalization, and content generation. Leverage LangChain, OpenAI APIs, or similar frameworks to build intelligent agent pipelines Experiment with prompt engineering, embeddings, and retrieval-augmented generation (RAG) Agentic AI & Conversational Systems: Develop autonomous and semi-autonomous agents using Agentic AI principles Build scalable workflows for intelligent interactions and decision-making Collaborate with the product team to create AI-powered features for astrology and wellness services Data Engineering & Integration: Work with large datasets to extract insights, train models, and monitor performance Integrate ML models into live production systems with a focus on performance and scalability Use APIs, vector databases (e.g., FAISS, Pinecone), and cloud services for deployment Collaboration & Innovation: Collaborate with engineers, designers, and content teams to align ML projects with business goals Stay up to date with the latest in ML, NLP, LLMs, and Generative AI to drive innovation Use performance metrics and analytics to optimize AI-driven features Skills and Qualifications: Experience: 6 months to 2 years of experience in ML/AI development or research roles Programming Skills: Strong coding skills in Python, SQL/NoSQL/MongoDb Familiarity with ML frameworks like scikit-learn, TensorFlow, PyTorch, or Hugging Face Fine-tune and integrate Large Language Models (LLMs) , analysis, and search applications AI/ML Knowledge: Solid understanding of LLMs, NLP pipelines, and generative model use cases Experience with LangChain, OpenAI, Transformers, or similar toolkits Exposure to Agentic AI, AI agents, or decision-making workflows is a big plus Technical Skills: Comfortable with APIs, cloud deployment (AWS/GCP), and Git Familiarity with vector databases, semantic search, and RAG architecture Problem-Solving: Strong analytical thinking and problem-solving abilities Ability to independently research, test, and iterate on ML solutions Desirable Skills: Experience with chatbot frameworks, recommendation systems, or personalization engines Familiarity with tools like Weaviate, Pinecone, Streamlit, or FastAPI Knowledge of astrology, spirituality, or wellness domains (bonus but not required) Show more Show less

About The Company Milliman is among the world's largest providers of actuarial and related products and services. Founded in 1947, Milliman is an independent firm with offices in major cities around the globe. We are owned and managed by our principals senior consultants whose selection is based on their technical, professional and business achievements. Milliman serves the full spectrum of business, financial, government, union, education, and nonprofit organizations. In addition to our consulting actuaries, Milliman's body of professionals includes numerous other specialists, ranging from clinicians to economists. Despite our impressive growth over the past six decades, we still operate according to the guiding principles of our founders, Wendell Milliman and Stuart Robertson. We retain their rigorous standards of professional excellence, peer review and objectivity. We remain committed to developing innovative tools and products and providing expert solutions. And we continue to earn our clients trust by keeping our focus fixed on their business objectives. Summary Milliman is seeking a Senior Software Engineer to join our Global Corporate Services IT team. This role will support, enhance and replace a portfolio of solutions ranging from out of the box SharePoint applications to custom code. You will work with local and US Based resources to enhance existing and build new solutions on Milliman’s Office 365 tenant. The ideal candidate should have expertise in SPFx , React , Azure APIs , and Power Platform tools to deliver scalable, high-quality solutions. Roles & Responsibilities Use an agile approach to SDLC to work with team members in two-week sprints. As a developer, you will size your efforts and define tasks based on clear user stories and acceptance criteria. Azure DevOps is used to plan and document the work of the team. Produce technical design documents that translate business and functional requirements into system requirements. Prototype and implement solutions that meet performance, reliability, and scalability needs using Microsoft 365 tools, SPFx, Power Platform (Power Apps, Power Automate (Flow)) Develop and update Azure Web APIs as needed and integrate with existing SharePoint applications. Build and maintain Azure Functions and Runbooks to automate and streamline processes. Consume external APIs within SPFx solutions and Power Automate to extend functionality and integrate third-party services. Leverage Microsoft Graph API, PnP JS, and REST APIs to retrieve and manipulate data across Microsoft 365 and SharePoint Online. Hands on experience designing and developing cloud solutions using C#, Python, Graph/Rest APIs, SQL, HTML, CSS, SharePoint Framework (SPFx), JavaScript (PnP), PowerShell Participate in code reviews and collaborate with US-based development resources. When necessary, provide after-hours support on critical application-related issues. Ensure overlapping work hours with US-based teams by being flexible, primarily during late evening hours, to support effective collaboration and communication Willing to travel if required. As a senior role, you are expected to mentor and support other team members, providing leadership in technical discussions and decision-making. Self-motivated and proactive with the ability to take ownership of projects. Qualification BE/B. Tech in Computer Science, Information Technology, or a related field (or equivalent experience). 8 - 12 years experience developing custom web-based solutions with SharePoint. 5+ years of experience in SharePoint Online development with expertise in SPFx, React, and Power Platform. Development experience in Azure Functions, Azure Web APIs, and Runbooks. Expertise in Power Automate for workflow automation and PowerApps for no-code/low-code solutions. Familiarity with Office UI Fabric/Fluent UI for building user interfaces. Experience using Azure DevOps/GitHub for sprint planning, task management, and source code repositories and Release pipelines. Proven experience working with Agile SDLC methodologies including Scrum and Kanban. Has an aptitude for prioritizing work in a remote working environment. Good To Have Familiarity with Microsoft AI services, such as Azure Cognitive Services, for building intelligent features in business solutions. Knowledge of integrating Generative AI models (e.g., OpenAI, Azure AI) into SharePoint-based applications to enhance functionality and user experience. Experience on GitHub Actions, CI/CD to setup, Power Platform ALM for automated deployments of the applications Show more Show less

About the Role Drive the digital backbone of a growing commercial real-estate group. You’ll prototype, test and ship automations that save our teams > 10 hours/week in the first 90 days Availability ~20 hrs/week (flexible), Gurgaon/remote hybrid. Engagement Model - On-site 1 day/wk during rollout peaks Compensation ₹55–70 k per month. Core Responsibilities 1. Systems Audit & Consolidation – unify Google Workspace tenants, rationalise shared drives. 2. Database & CRM Build-out – design, deploy, and maintain occupant tracker and a lightweight CRM; migrate legacy data. 3. Automation & Integration – link CRM, Google Sheets, and Tally using Apps Script/Zoho Flow/Zapier. 4. Process Documentation – own the internal wiki; keep SOPs and RACI charts current. 5. Dashboards & Reporting – craft Looker Studio boards for collections, projects, facility KPIs. 6. User Training & Support – deliver monthly clinics; teach teams how to use G Suite, ChatGPT to improve productivity 7. Security & Compliance – enforce 2FA, backup policies, basic network hygiene. 8. Vendor Co-ordination – liaise with Zoho, Tally consultants, ISP/MSP vendors; manage small capex items. 🔧 Required Skills & Experience We’re looking for a hands-on builder with a strong track record in automation, low-code systems, and internal tooling. The ideal candidate will bring most (not necessarily all) of the following: ⚙️ Automation & Low-Code Workflows Practical experience building solutions with Google Apps Script or Zoho Creator/Flow , including REST APIs and webhooks Familiarity with workflow bridges like Zapier, Make, or n8n Bonus: Exposure to AI-based low-code tools like Cursor or Loveable 📄 Data Extraction & Integrations Hands-on experience using OCR/Document AI tools (e.g. Google DocAI, AWS Textract) to parse and structure lease or legal documents Familiarity with Tally Prime integrations via API or ODBC for syncing financial data 📇 CRM & Customer View Experience with end-to-end CRM rollouts (Zoho/Freshsales preferred), including data migration and module customization Bonus: Exposure to helpdesk tools like Zoho Desk or Freshdesk 📊 Analytics & Reporting Advanced proficiency in Google Sheets (ARRAYFORMULA, QUERY, IMPORTRANGE) Experience designing interactive dashboards in Looker Studio Bonus: Awareness of data warehousing concepts (BigQuery, Redshift) for creating a unified customer view 🧠 Scripting & AI Comfortable writing Python or Node.js scripts for light-weight cloud functions and ETL Experience using OpenAI/Claude APIs to build small copilots or automations (e.g., résumé rankers, document summarizers) 📋 Project & Knowledge Management Bonus: Familiarity with Trello or other Kanban-style project boards Strong documentation skills with Notion or Google Sites for building wikis, SOPs, and internal help resources 🗣️ Soft Skills Able to explain technical systems clearly to non-technical stakeholders Comfortable training teams in both English and Hindi 📩 How to Apply? If this sounds like you, please apply via this short form : 👉 https://forms.gle/3gPwMqnadpf3dP159 We’ll review responses daily. If you clear the knockout round, you’ll receive a 30-minute skills test within 24 hours. Show more Show less

Type: Full-time Experience: 1+ Year About the Role: We are looking for a passionate and skilled Full-Stack Developer with experience in Generative AI to join our fast-paced product team. You’ll be responsible for building end-to-end applications that integrate powerful AI models into scalable, user-friendly web platforms. This is a hybrid role combining software engineering with applied AI — ideal for developers who love turning cutting-edge technology into real-world products. Key Responsibilities: Design, develop, and maintain full-stack web applications using Python (Flask/Django) and JavaScript (React/Vue) . Integrate Generative AI models (e.g., OpenAI, Hugging Face Transformers, custom LLMs) via APIs or local inference. Build and consume RESTful APIs to power intelligent frontend features. Work with databases (SQL/NoSQL) to store and retrieve user data and AI-generated content. Collaborate with data scientists and product designers to deliver seamless AI-powered user experiences. Optimize performance, scalability, and responsiveness of applications. Deploy applications using Docker , CI/CD pipelines , and cloud platforms (e.g., AWS, Render, or GCP). Required Skills: Proficient in Python and one or more web frameworks (Flask, Django). Solid experience in front-end development using React , Vue , or similar frameworks. Strong understanding of REST APIs , web architecture, and MVC patterns. Experience working with Generative AI models (e.g., GPT, LLaMA, Stable Diffusion). Familiarity with OpenAI API , LangChain , or Hugging Face ecosystem. Knowledge of Docker , Git , and cloud deployment workflows. Nice to Have: Experience with vector databases (e.g., Pinecone, FAISS, ChromaDB). Familiarity with prompt engineering and LLM fine-tuning. Experience in building AI chatbots or assistants. Background in machine learning , NLP, or data pipelines. What You’ll Get: A chance to work on next-gen AI products from scratch. Full ownership over projects — from backend logic to front-end UI. Flexible remote work culture with strong team collaboration. Access to latest AI tools, models, and compute resources. Job Type: Permanent Pay: From ₹30,000.00 per month Schedule: Day shift Ability to commute/relocate: Vadodara, Gujarat: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Do you experience or knowledge of generative AI ? Experience: Python: 1 year (Preferred) Work Location: In person Speak with the employer +91 8758137367

We are seeking a talented individual to join our Data Science team at Marsh. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. Senior Manager - Data Science and Automation We will count on you to: Identify opportunities which add value to the business and make the process more efficient. Invest in understand the core business including products, process, documents, and data points with the objective of identifying efficiency and value addition opportunities. Design and develop end-to-end NLP/LLM solutions for document parsing, information extraction, and summarization from PDFs and scanned text. Develop AI applications to automate manual and repetitive tasks using generative AI and machine learning. Fine-tune open-source LLMs (like LLaMA, Mistral, Falcon, or similar) or build custom pipelines using APIs (OpenAI, Anthropic, Azure OpenAI). Build custom extraction logic using tools like LangChain, Haystack, Hugging Face Transformers, and OCR libraries like Tesseract or Azure Form Recognizer. Create pipelines to convert outputs into formatted Microsoft Word or PDF files using libraries like docx, PDFKit, ReportLab, or LaTeX. Collaborate with data engineers and software developers to integrate AI models into production workflows. Ensure model performance, accuracy, scalability, and cost-efficiency across business use cases. Stay updated with the latest advancements in generative AI, LLMs, and NLP research to identify innovative solutions. Design, develop, and maintain robust data pipelines for extracting, transforming, and loading (ETL) data from diverse sources. As the operational scales up design and implement scalable data storage solutions and integrate them with existing systems. Utilize cloud platforms (AWS, Azure, Google Cloud) for data storage and processing. Conduct code reviews and provide mentorship to junior developers. Stay up-to-date with the latest technology trends and best practices in data engineering and cloud services. Ability to lead initiatives and deliver results by engaging with cross-functional teams and resolving data ambiguity issues. Be responsible for the professional development of your projects and institute a succession plan. What you need to have: Bachelor's degree in Engineering, Analytics, or a related field, MBA, Computer Applications, IT, Business Analytics, or any discipline. Proven experience of 8-12 years in Python development Hands-on experience with frameworks and libraries like Transformers, LangChain, PyTorch/TensorFlow, spaCy, Hugging Face, and Haystack. Strong expertise in document parsing, OCR (Tesseract, AWS Textract, Azure Form Recognizer), and entity extraction. Proficiency in Python and familiarity with cloud-based environments (Azure, AWS, GCP). Experience deploying models as APIs/microservices using FastAPI, Flask, or similar. Familiarity with PDF parsing libraries (PDFMiner, PyMuPDF, Apache PDFBox) and Word generation libraries (python-docx, PDFKit). Solid understanding of prompt engineering and prompt-tuning techniques. Proven experience with data automation and building data pipelines. Proven track record in building and maintaining data pipelines and ETL processes. Strong knowledge of Python libraries such as Pandas, NumPy, and PySpark, Camelot. Familiarity with database management systems (SQL and NoSQL databases). Experience in designing and implementing system architecture. Ability to operate in a multi layered technology architecture and shape the technology maturity of the organization. Solid understanding of software development best practices, including version control (Git), code reviews, and testing frameworks (PyTest, UnitTest). Strong attention to detail and ability to work with complex data sets. Effective communication skills to present findings and insights to both technical and non-technical stakeholders. Specify superior listening, verbal and written communication skills Excellent project management and organization skills Superlative stakeholder management skills – ability to positively influence stakeholders. Synthesis skills- Ability to connect the dots and answer the business question. Excellent problem-solving, structuring and critical-thinking skills. Ability to work independently and collaboratively in a fast-paced environment. What makes you stand out? Master’s degree in Computer Science, Engineering, or related fields. Experience in working with large-scale data sets and real-time data processing. Familiarity with additional programming languages like Java, C++, or R. Strong problem-solving skills and ability to work in a fast-paced environment. Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh, a business of Marsh McLennan (NYSE: MMC), is the world’s top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person. 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Job Title: Senior Consultant - Hyperautomation Grade - D2 Introduction to role Are you passionate about driving digital transformation and bringing to bear brand new technologies? We are seeking a Senior Consultant - Hyperautomation with expertise in PowerApps, Copilot, AI Builder, Power Virtual Agents, Power Automate (Cloud & Desktop), Power BI, and Azure services like Azure Functions, OpenAI, and Cognitive Services. The ideal candidate will possess in-depth technical knowledge, critical thinking skills, and the capacity to implement inventive solutions across organizations. About Astrazeneca AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialization of prescription medicines for some of the world’s most serious disease. But we’re more than one of the world’s leading pharmaceutical companies. At AstraZeneca we’re dedicated to being a Great Place to Work. About The Team We are a collective of technical experts, bringing deep specialism and forward thinking to resolve complex ideas. We understand the data, managing and exploring it to ensure that patients and employees get genuine benefits from our Technology ecosystem. Here we put technology to good use. Working together seamlessly to find the best way to bring the most value for the business This is a place to move fast and create a huge footprint through continuous learning and growing. Accountabilities Solutioning, design, and develop enterprise-grade solutions using Power Platform, AI, Azure, SharePoint, and Power Pages. Design, develop, and coordinate PowerApps applications, integrating with Dataverse, Dynamics 365, and third-party APIs. Implement Power Pages (Portals) for external user engagement, authentication, and workflow automation with Dataverse, Azure AD B2C, and APIs. Apply AI Builder, Copilot, and Power Virtual Agents for intelligent automation, document processing, and conversational AI. Implement Power Automate workflows (Cloud & Desktop, RPA, UI Flows) for business process automation and enterprise integrations. Develop Power BI analytics solutions, including advanced DAX, Paginated Reports, and Microsoft Fabric (Synapse, Dataflows, Data Factory) for scalable insights. Extend Power Platform with SharePoint Online, SPFx (SharePoint Framework), Power Fx, JavaScript, TypeScript, and C#. Extend Power Platform capabilities and deliver business intelligence solutions using Azure Functions, OpenAI, Cognitive Services, and Logic Apps. Develop enterprise-grade SharePoint solutions, including custom SPFx web parts, extensions, workflows, document management, and search-based solutions. Establish governance, security standard processes, compliance policies, and ALM strategies for Power Platform and SharePoint solutions. Design Dataverse extensibility, including custom APIs, Plugins, and Virtual Tables for enterprise data modeling. Drive proof-of-concept (PoC) and pilot projects demonstrating AI, automation, RPA, and intelligent analytics. Collaborate with business collaborators, developers, and data analysts to define and implement scalable and innovative solutions. Implement DevOps practices (Azure DevOps, GitHub Actions, CI/CD Pipelines) for Power Platform, SharePoint, and Azure development. Stay updated with the latest advancements in Power Platform, AI, SharePoint, Azure, and security standard processes. Essential Skills/Experience Proficient in solution architecture, enterprise automation, and applications. Expertise in Power Platform (PowerApps, Power Automate Desktop, AI Builder, Copilot, Power Virtual Agents, Power BI, Power Pages). Solid experience in Power Pages (Portals), including authentication, customization, and API integrations. Experience with Azure Functions, OpenAI, Cognitive Services, Logic Apps, API Management, and serverless architectures. Experience in Dataverse, Dynamics 365, SharePoint, SQL, and third-party integrations. Hands-on experience with AI-powered automation, RPA (Power Automate Desktop), and intelligent document processing. Proficiency in JavaScript, TypeScript, Power Fx, C#, REST APIs, and OData for extending Power Platform and SharePoint. Experience in Power Platform governance, security compliance (DLP policies), ALM (Application Lifecycle Management), and solution architecture standard processes. Experience in Microsoft Fabric (Synapse Analytics, Data Factory, Dataflows, Event Hub) for real-time analytics. Experience in DevOps for Power Platform and SharePoint using Azure DevOps, GitHub Actions, CI/CD Pipelines. Strong analytical thinking, problem-solving, and strategic decision-making skills. Excellent collaborator engagement, technical leadership, and documentation skills. Microsoft Certifications (PL-600, PL-400, PL-500, PL-900, AZ-204, AI-900, MS-600, DP-500) are highly preferred. At AstraZeneca we connect across the whole business to power each function to better influence patient outcomes. Our work assists others in efficiently scaling through data in software systems. We drive exciting transformation on our journey to becoming a digital and data-led enterprise. Collaborate with leading experts using brand new techniques to create novel solutions. Our inclusive team brings together diverse areas to decode business needs and apply technical know-how for greater value. We thrive on being exposed to multiple disciplines while maintaining high ethical standards. Ready to make an impact? Apply now! Educational Qualifications UG - B.Tech /B.E. or other equivalent technical qualifications WHY JOIN US ? We’re a network of high-reaching self-starters who contribute to something far bigger. We enable AstraZeneca to perform at its peak by delivering premier technology and data solutions. We’re not afraid to take ownership and run with it. Empowered with unrivalled freedom. Put simply, it’s because we make a significant impact. Everything we do matters. SO, WHAT’S NEXT? Are you already envisioning yourself joining our team? Good, because we’d love to hear from you! Click the link to apply and we’ll be in touch as soon as we can. WHERE CAN I FIND OUT MORE? Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/ We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. Show more Show less

Job Title: Team Lead Full Stack Developer – Voice Transcription Platform Location: Gurgaon Position Overview: We're seeking a proficient Full Stack Developer Coach/ SME to troubleshoot & guide the development of our AI-powered voice transcription platform. Objective: This role will act as a coach for app architecture, will be an escalation point for coding issues/ code development and provide resolution to team members to keep project on track. Key Tech Stack: Azure Services: Azure Cognitive services, Speech Services, Azure OpenAI Whisper Tech Skills: WebSocket connections & implementation, Real time voice transcription Additional Skills: Encryption, Decryption, AES 256, Gen AI Coding tools, Using Transformer Models Tools: Open API/Swagger, OAuth2, Celery/RabbitMQ, JWT Security: Familiar with HIPAA requirements Key Responsibilities: Owns the architecture of the application development Familiar with security requirements of US Healthcare applications and therefore the secure architecture required Ensures that the team is able to deliver to the development timelines Answer questions in group chats, get on meetings to guide and coach Create policy on Coding Standards Spot check work for developers to ensure that coding standards are met Implement tools like SonarQube to ensure high quality of code Resolve issues and roadblocks in a reasonable timeframe Work closely with product managers, analysts, and UI designers to ensure system consistency and improve user experience. Support the product development lifecycle through participation in design sprints and review sessions. Minimum Qualifications: Minimum of 5 years of experience in full stack development using Python, Node.js/Next.js, JavaScript, and TypeScript. Proven track record of developing and managing web applications & APIs. Strong experience with cloud services, particularly Microsoft Azure, including Azure DevOps, App Services, and other Azure management tools. Familiarity with databases like PostgreSQL. Experience in an Agile development environment and understanding of SDLC practices. Strong problem-solving skills and the ability to work on complex software projects. Experience in healthcare technology and understanding of regulatory environments such as HIPAA is a plus. Excellent communication and teamwork skills. Show more Show less

Roles & Responsibility: Design and optimize language models that can analyze and understand textual data. Your work will enable us to uncover meaningful patterns, trends, and insights from unstructured information, ultimately solving analytical use cases. Utilize sophisticated algorithms and methodologies to refine and improve the performance of our models, enabling accurate predictions and actionable outputs for analytical use cases. Stay informed about the latest advancements in NLP and LLM models and help us identify and adopt cutting-edge techniques. Enable us to continuously improve our language models and effectively address diverse analytical use cases. Work closely with cross-functional teams to address complex business challenges using LLM models. Help define the requirements to build and scale large language models across our customer base. Own and deliver AI enablement projects, including building POCs and delivering thought leadership. Provide data-driven insights and recommendations that support decision-making processes and enable us to overcome analytical hurdles. Document your methodologies, experiments, and results in clear and concise terms. Effectively communicate complex concepts and findings to both technical and non-technical stakeholders. Educating individuals or teams on the concepts, tools, and applications of Generative AI technologies, blending training, technical expertise, and practical guidance. Qualifications: A minimum of 5 years of experience in analytics preferably in Banking and Financial Services A minimum of 3 years of hands-on experience working on NLP, Deep learning and machine learning models and LLMs to solve analytical use cases. Experience working with Large Language Models (LLMs), including various prompt engineering techniques, word embeddings and vector databases. Azure stack (AI Search, OpenAI) and understanding of Agentic Architecture is a plus. Experience with one or more of the following tools and frameworks – LangChain, LangGraph, OpenAI Assistants API, AutoGen, etc. Knowledge of various cloud services (AWS, Azure, GCP) and their management. Experience with cloud native applications and/or deployment is a plus. Excellent problem-solving and analytical skills, with the ability to work on complex projects and deliver high-quality results. Strong knowledge and understanding of Natural Language Processing (NLP) techniques and algorithms, and their practical applications in addressing analytical challenges. Proficiency in Python and having working knowledge of other programming languages is a plus, and experience with NLP libraries. Knowledge of frontend components and full-stack integration is a plus. Experience with large-scale data processing and distributed computing frameworks is a plus. Strong communication skills, both written and verbal, with the ability to convey complex ideas to diverse stakeholders. A track record of staying up to date with the latest advancements in NLP research and incorporating new techniques into practical applications. Show more Show less

About us We are building Enegma , a B2B SaaS platform designed to make procurement easier for businesses. Backed by a select group of visionary investors, we empower businesses by harnessing the power of AI to streamline and enhance procurement processes. We are backed by a global early-stage venture capital firm that invests in exceptional entrepreneurs.With their support, we are redefining procurement by leveraging cutting-edge technology and innovative solutions. Our mission is to create intelligent AI agents that simplify decision-making, reduce costs, and drive efficiency. We're committed to meeting the unique needs of our clients, enabling them to navigate the complexities of procurement with ease. About Role As a Senior Backend Engineer , you’ll play a critical role in architecting and developing the backend systems that power our AI-driven procurement platform. You’ll work closely with AI Engineers and Product teams to build scalable APIs, integrate AI services, and manage cloud infrastructure. From building multi-agent workflows to optimizing large-scale data pipelines, you'll be at the forefront of solving complex engineering challenges with direct business impact. This is your chance to work on high-impact features, collaborate with a visionary team, and shape the technical foundation of a rapidly growing B2B SaaS product. Job Description: Backend Architecture & Development : Design and develop robust backend systems using Python (FastAPI, Flask) , ensuring scalability, security, and performance. API Design & Integration : Build RESTful APIs and integrate with AI services (OpenAI, Claude, Hugging Face, LangChain) and third-party SaaS systems. RAG & LLM Workflows : Collaborate with AI Engineers to implement Retrieve-Augment-Generate (RAG) frameworks and optimize LLM-driven features. Database & Cloud Engineering : Manage databases, optimize queries, and deploy services on AWS ECS, S3, Lambda, and related cloud infrastructure. Agentic AI Integration : Work on backend systems supporting multi-agent AI workflows, enabling complex procurement automations.( N8N is a plus) Code Quality & Best Practices : Write clean, maintainable, and testable code following SOLID principles and scalable design patterns. Collaboration & Mentorship : Partner with frontend, AI, and product teams to deliver cohesive solutions, while mentoring junior developers. Security & Compliance : Ensure systems adhere to data privacy regulations, security best practices, and responsible AI guidelines. What we're looking for: 4+ years of backend development experience in Python (FastAPI,SQLAlchemy) . Strong understanding of API design, database architecture, and cloud services ( AWS preferred). Exposure to AI/ML technologies, LLM APIs, and RAG frameworks (preferred but not mandatory). Experience with microservices architecture and containerized deployments ( Docker, ECS, Kubernetes ). Problem-solving mindset with attention to performance optimization and scalability. Passion for building high-impact enterprise SaaS products Aspirations to grow into a Team Lead / Engineering Manager role. What You’ll Gain: Opportunity to work on cutting-edge AI & multi-agent systems. Ownership of core backend modules in a fast-growing SaaS startup. Collaborative, innovation-driven culture with focus on learning & impact. Direct visibility into real-world AI product development challenges. Be part of a visionary team redefining procurement with AI. Culture at Enegma: Collaborative Environment: We believe in teamwork, where every voice matters and ideas are welcomed. Innovation-Driven: We thrive on creativity and encourage experimentation to solve complex problems. Mentorship Focus: Learn directly from experts and build skills that will shape your career. Impact-Oriented: Work on meaningful projects that drive value for our clients and the industry. Show more Show less

Job Title : Senior Developer – Node.js | AWS | OpenAI Location : Ahmedabad/Vadodara Experience Required : 6+ Years Role Overview: We are seeking a Senior Developer with strong expertise in Node.js, TypeScript, PostgreSQL, Redis, and AWS Cloud Services , as well as a passion for working with OpenAI APIs . The ideal candidate should have hands-on experience building high-performance, scalable backend systems, managing large datasets, and implementing intelligent automation. Key Responsibilities: ü Design, develop, and maintain high-performance backend services using Node.js, TypeScript, and Express.js ü Architect scalable systems using PostgreSQL and Redis for large data handling and caching ü Integrate and optimize OpenAI API usage for AI-powered functionalities ü Develop and maintain containerized services using AWS ECS ü Manage storage solutions via AWS S3 and configure access and lifecycle rules ü Configure and maintain Elastic Load Balancers and API Gateways for secure and optimized routing ü Implement observability using AWS CloudWatch, CloudTrail , and log aggregation tools ü Write and maintain unit and integration tests to ensure code reliability and coverage ü Collaborate with cross-functional teams including DevOps, Frontend, Product, and AI/ML engineers ü Optimize and troubleshoot performance bottlenecks in database queries and backend logic ü Enforce best practices in code reviews, security, and system architecture Must-Have Skills: ü 6+ years of backend development experience with Node.js and TypeScript ü Strong experience with PostgreSQL and Redis Cache ü Deep understanding of RESTful API design, Express.js , and middleware architecture ü Experience with OpenAI APIs (ChatGPT, GPT-4, embeddings, fine-tuning, etc.) ü Hands-on experience with AWS services: ECS, S3, API Gateway, CloudWatch, CloudTrail ü Experience with unit testing frameworks like Jest, Mocha, or similar ü Proven track record of working with large databases and scalable architecture ü Knowledge of security best practices and data privacy compliance Good to Have: ü Familiarity with GraphQL or gRPC ü CI/CD experience with tools like GitHub Actions , CodePipeline , or Jenkins ü Experience with Infrastructure as Code (IaC) using Terraform or AWS CDK ü Exposure to AI/ML workflows or prompt engineering Show more Show less

Job description 🚀 Job Title: Lead AI Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 2-6 Years Level : Senior Level 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing GenAI startups, revolutionizing the future of enterprise sales and customer engagement with real-time conversational intelligence. We are building a GenAI-powered agent-assist and pitch intelligence suite that captures, analyzes, and enhances every customer interaction—across voice, video, and chat—in real time. We serve leading enterprise clients across India, the UAE, and Southeast Asia and are backed by global VCs, top operators from Google, Salesforce, and McKinsey, and CXOs from the industry. This is your opportunity to join a high-caliber founding tech team solving frontier problems in real-time voice AI, multilingual transcription, retrieval-augmented generation (RAG), and fine-tuned LLMs at scale. 🧠 Role Overview As the Lead AI Engineer , you will drive the development, deployment, and optimization of AI systems that power Darwix AI's real-time conversation intelligence platform. This includes voice-to-text transcription, speaker diarization, GenAI summarization, prompt engineering, knowledge retrieval, and real-time nudge delivery. You will lead a team of AI engineers and work closely with product managers, software architects, and data teams to ensure technical excellence, scalable architecture, and rapid iteration cycles. This is a high-ownership, hands-on leadership role where you will code, architect, and lead simultaneously. 🔧 Key Responsibilities 1. AI Architecture & Model Development Architect end-to-end AI pipelines for transcription, real-time inference, LLM integration, and vector-based retrieval. Build, fine-tune, and deploy STT models (Whisper, Wav2Vec2.0) and diarization systems for speaker separation. Implement GenAI pipelines using OpenAI, Gemini, LLaMA, Mistral, and other LLM APIs or open-source models. 2. Real-Time Voice AI System Development Design low-latency pipelines for capturing and processing audio in real-time across multi-lingual environments. Work on WebSocket-based bi-directional audio streaming, chunked inference, and result caching. Develop asynchronous, event-driven architectures for voice processing and decision-making. 3. RAG & Knowledge Graph Pipelines Create retrieval-augmented generation (RAG) systems that pull from structured and unstructured knowledge bases. Build vector DB architectures (e.g., FAISS, Pinecone, Weaviate) and connect to LangChain/LlamaIndex workflows. Own chunking, indexing, and embedding strategies (OpenAI, Cohere, Hugging Face embeddings). 4. Fine-Tuning & Prompt Engineering Fine-tune LLMs and foundational models using RLHF, SFT, PEFT (e.g., LoRA) as needed. Optimize prompts for summarization, categorization, tone analysis, objection handling, etc. Perform few-shot and zero-shot evaluations for quality benchmarking. 5. Pipeline Optimization & MLOps Ensure high availability and robustness of AI pipelines using CI/CD tools, Docker, Kubernetes, and GitHub Actions. Work with data engineering to streamline data ingestion, labeling, augmentation, and evaluation. Build internal tools to benchmark latency, accuracy, and relevance for production-grade AI features. 6. Team Leadership & Cross-Functional Collaboration Lead, mentor, and grow a high-performing AI engineering team. Collaborate with backend, frontend, and product teams to build scalable production systems. Participate in architectural and design decisions across AI, backend, and data workflows. 🛠️ Key Technologies & Tools Languages & Frameworks : Python, FastAPI, Flask, LangChain, PyTorch, TensorFlow, HuggingFace Transformers Voice & Audio : Whisper, Wav2Vec2.0, DeepSpeech, pyannote.audio, AssemblyAI, Kaldi, Mozilla TTS Vector DBs & RAG : FAISS, Pinecone, Weaviate, ChromaDB, LlamaIndex, LangGraph LLMs & GenAI APIs : OpenAI GPT-4/3.5, Gemini, Claude, Mistral, Meta LLaMA 2/3 DevOps & Deployment : Docker, GitHub Actions, CI/CD, Redis, Kafka, Kubernetes, AWS (EC2, Lambda, S3) Databases : MongoDB, Postgres, MySQL, Pinecone, TimescaleDB Monitoring & Logging : Prometheus, Grafana, Sentry, Elastic Stack (ELK) 🎯 Requirements & Qualifications 👨‍💻 Experience 2-6 years of experience in building and deploying AI/ML systems, with at least 2+ years in NLP or voice technologies. Proven track record of production deployment of ASR, STT, NLP, or GenAI models. Hands-on experience building systems involving vector databases, real-time pipelines, or LLM integrations. 📚 Educational Background Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Tier 1 institute preferred (IITs, BITS, IIITs, NITs, or global top 100 universities). ⚙️ Technical Skills Strong coding experience in Python and familiarity with FastAPI/Django. Understanding of distributed architectures, memory management, and latency optimization. Familiarity with transformer-based model architectures, training techniques, and data pipeline design. 💡 Bonus Experience Worked on multilingual speech recognition and translation. Experience deploying AI models on edge devices or browsers. Built or contributed to open-source ML/NLP projects. Published papers or patents in voice, NLP, or deep learning domains. 🚀 What Success Looks Like in 6 Months Lead the deployment of a real-time STT + diarization system for at least 1 enterprise client. Deliver high-accuracy nudge generation pipeline using RAG and summarization models. Build an in-house knowledge indexing + vector DB framework integrated into the product. Mentor 2–3 AI engineers and own execution across multiple modules. Achieve <1 sec latency on real-time voice-to-nudge pipeline from capture to recommendation. 💼 What We Offer Compensation : Competitive fixed salary + equity + performance-based bonuses Impact : Ownership of key AI modules powering thousands of live enterprise conversations Learning : Access to high-compute GPUs, API credits, research tools, and conference sponsorships Culture : High-trust, outcome-first environment that celebrates execution and learning Mentorship : Work directly with founders, ex-Microsoft, IIT-IIM-BITS alums, and top AI engineers Scale : Opportunity to scale an AI product from 10 clients to 100+ globally within 12 months ⚠️ This Role is NOT for Everyone 🚫 If you're looking for a slow, abstract research role—this is NOT for you. 🚫 If you're used to months of ideation before shipping—you won't enjoy our speed. 🚫 If you're not comfortable being hands-on and diving into scrappy builds—you may struggle. ✅ But if you’re a builder , architect , and visionary —who loves solving hard technical problems and delivering real-time AI at scale, we want to talk to you. 📩 How to Apply Send your CV, GitHub/portfolio, and a brief note on “Why AI at Darwix?” to: 📧 careers@cur8.in Subject Line: Application – Lead AI Engineer – [Your Name] Include links to: Any relevant open-source contributions LLM/STT models you've fine-tuned or deployed RAG pipelines you've worked on 🔍 Final Thought This is not just a job. This is your opportunity to build the world’s most scalable AI sales intelligence platform —from India, for the world. Show more Show less

We're Hiring: Senior SRE Engineer — in our New Delhi Office (On-Site Only) Full-Time | Office-Based | ₹125,000–₹145,000 NET/month (approx. $1,500–$1,700) Memorae is building the future of personal productivity, an AI assistant that lives natively inside WhatsApp and remembers what matters to you. Our platform helps people across the world automate reminders, follow-ups, tasks, and calendar flows with zero friction and full memory. We're now hiring a Senior Site Reliability Engineer (SRE) to join our team on-site in New Delhi . You’ll be one of the technical pillars of the company; owning the infrastructure, cloud systems, observability, and reliability architecture that powers a product being used across 15+ countries and scaling rapidly. This is not a role for someone looking to maintain the status quo. You will build, break, and rebuild with resilience and purpose , and be expected to push the limits of performance and uptime with a mindset of high ownership and execution. What You’ll Be Doing Architecting and owning our entire infrastructure stack (currently AWS + third-party integrations + OpenAI APIs) for scalability, performance, and cost efficiency. Building and managing CI/CD pipelines with automated testing, deployment, rollback, and monitoring capabilities. Designing and enforcing best practices for disaster recovery, secrets management, and zero-downtime deployments. Monitoring and alerting : You will implement robust monitoring strategies (e.g., Prometheus, Grafana, Datadog, Sentry, etc.) and ensure uptime and reliability targets. Diagnosing bottlenecks and improving performance across backend services, APIs, and data pipelines. Security by design : You’ll be responsible for securing access, ensuring compliance, and setting up defensive infrastructure layers. Collaborating tightly with the Head of Product Engineering and CTO to ensure infrastructure decisions align with our product roadmap. What We’re Looking For 5+ years of professional experience in an SRE, DevOps, or Infrastructure role. Deep hands-on experience with AWS (ECS, Lambda, RDS, S3, CloudWatch, VPCs, etc.). Proven ability to manage production-grade environments with traffic, scale, and cost-control priorities. Experience working in high-pressure, startup-like environments where systems move fast. Strong expertise in Docker, Kubernetes , or other container orchestration platforms. Strong scripting skills: Bash, Python, or Go . Experience setting up and managing CI/CD pipelines (GitHub Actions, GitLab CI/CD, or similar). Experience with infrastructure-as-code (Terraform or Pulumi preferred). Excellent communication skills. You must be able to document, communicate, and collaborate clearly across departments. Based in New Delhi or willing to relocate. This is an on-site, in-office role. Nice to Have Experience working with AI workloads or integrations with OpenAI, LangChain, etc. Knowledge of edge infrastructure , CDNs, and caching strategies for latency optimization. Familiarity with WhatsApp Business APIs or other messaging platforms. What We Offer A monthly net salary of $1,500–$1,700 depending on experience (₹125,000–₹145,000). A fast-paced, international team operating with high standards and total transparency. Clear growth path and full ownership of your domain from day one. Deep involvement in shaping the future of one of the most ambitious AI x Productivity startups globally. A no-bullshit, high-performance culture where clarity, feedback, and ambition matter more than hierarchy or ego. Show more Show less

At Netomi AI, we are on a mission to create artificial intelligence that builds customer love for the world’s largest global brands. Some of the largest brands are already using Netomi AI’s platform to solve mission-critical problems. This would allow you to work with top-tier clients at the senior level and build your network. Backed by the world’s leading investors such as Y-Combinator, Index Ventures, Jeffrey Katzenberg (co-founder of DreamWorks) and Greg Brockman (co-founder & President of OpenAI/ChatGPT), you will become a part of an elite group of visionaries who are defining the future of AI for customer experience. We are building a dynamic, fast growing team that values innovation, creativity, and hard work. You will have the chance to significantly impact the company’s success while developing your skills and career in AI. Want to become a key part of the Generative AI revolution? We should talk. We are seeking individuals with business and technology consulting experience to configure and implement SaaS solutions for our customers. Consultants function as integrators between business needs and technology solutions. Your efforts will directly impact the value realized by the customer and the ultimate success of the relationship. This role will work closely with customers and will be part of the Netomi delivery team to design and configure customer solutions. If you have the passion and energy to work in an entrepreneurial and fast-paced environment, you are the person we are looking for! Responsibilities: Scope out projects and provide effort estimations and timelines in conjunction with sales and customer success managers(CSM). Participate in Discovery calls with customers and cross functional team. Partners with CSMs to ensure successful delivery by leading technical project activities, including solution architecture design. Serves as architect on moderate to complex projects requiring integration with multiple products. Performs complex configuration, troubleshooting of Netomi’s solution(s). Ensure Project/Process Documentation on the centralized repository. Participates in reviews(as and when required) with the customers and provide guidance regarding best practices. Collaborate with different teams for effective troubleshooting of customer issues during deployment & post deployment. Leads business discussions regarding Netomi’s value proposition at different levels of customer organization. Strong on data analytics and providing insights to the customer. Focus on driving efficiency in project delivery through initiatives. Analyse the customer health and create a plan to improve and Optimize the performance on AI Agent. Requirements: Overall Experience > 5-6 Years experience in Project Management preferably from a consulting organisation. Should have spent at least 2 years for a SaaS based organisation conceptualising and deploying the solution. Articulate and possesses proficiency in client/stakeholder management. Strong communication skills both written and verbal. Ability to deliver under stressful condition. Experience in implementation of SaaS product is a must. Understand basics of SQL and relational databases. Strong tool experience with JSON, Datadog, Postman, API Integrations. Basic or moderate understanding of NLP. Additional Awesomeness: Working knowledge of APIs and a fundamental understanding of Agent Desk platforms represented in Netomi’s partner ecosystem (e.g. Shopify, Salesforce, Zendesk, etc.) Engineering background Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics. Show more Show less

This is a remote position. The accounting industry is huge ($140 billion in the US alone). Most accounting firms still do things in old-fashioned ways. BooksTime is here to modernize the accounting industry. We are an ambitious, innovative accounting firm. Our model is 100% remote and international. Our staff are in the United States, Ukraine, Philippines, Georgia, and UAE. We were founded in 2016 and have been growing a lot since then. We use the latest tech to deliver the best service to our clients and achieve a degree of scalability that would be impossible for most accounting firms. There are huge opportunities to use the latest AI tech and to automate many tasks. We have a chance to be one of the first companies to truly take advantage of these opportunities. We believe this can enable us to become the #1 leader in the accounting industry within a few years. When we accomplish this goal, it will allow us to improve the lives and livelihoods of a huge number of people. AI has the power to rapidly and massively change the accounting industry. There are tons of clear opportunities to revolutionize the way this business works. We have a long list of ideas for automations and apps that we'd like to develop -- but we need a creative developer to take advantage of these opportunities. That's where you come in! You will have the opportunity to develop both internal tools and automations, as well as customer-facing apps, all of which can make a huge impact at our business – and also in transforming the accounting industry overall. We have a long list of apps that we'd like to develop. See examples below. Some of these will be internal tools. Others will be released commercially to the public. All of them will have the potential to make a major impact. Each includes different software to integrate with, different underlying technologies, etc. So no matter what specialized expertise you have, you will need to be ready to learn new technologies, as well. The variation in the work means that you probably will never be bored! Always something new to learn or try. You will report directly to the CEO, who is based in the US. You will also collaborate a lot with the Head of IT, the Cloud Sysadmin, and the Director of Operations. They are in the US and Ukraine. Examples of projects: More details and examples can be provided later. In the meantime, just to give you an idea: AI email summarizer: Outlook extension that summarizes all email threads with emails mentioning a particular client, so a supervisor can easily see a summary of the complete history of communication with and about that client. The extension would need to integrate with our CRM to know which email addresses correspond to a specific client, since there can be multiple contacts for a single client. AI sales coach: When a call is recorded in Zoom or JustCall, a transcription of the recording should be analyzed using an API from a service such as OpenAI (ChatGPT) to generate an email to the salesperson with training tips related to sales best practices and accounting knowledge. Security is important since the calls may contain sensitive information. AI social media bot: Bot that monitors certain social media locations. If someone asks a question like “does anyone know a good bookkeeping service they can recommend?” or something similar, the bot will reply with a message promoting our company. AI sentiment analysis: We have a tool that monitors emails for negative or positive sentiment expressed by a client, and sends alerts to supervisors if it seems there is a problem we need to review. However, it is not very accurate yet, so we need to test different approaches, prompts, etc. to improve it. Automating interview evaluation: Job candidates for some of our positions in the US need to take automated online interviews, where software asks them some questions and they record answers to those questions. We’d like to develop an app that reviews the transcript of these recordings and evaluates their performance based on certain criteria (did they answer certain questions correctly, etc.). Automating time logs: We need to know how much time each team member spends on each client, so we can bill the client for the hours we spent on their work. As a result, staff spend a lot of their time making time logs manually. We want to automate the creation of time logs based on what’s happening on their screen. Our time logging software is Zoho Projects. Automating client onboarding steps: When a new client signs up, various steps need to be taken manually. For example, we need to set up an Office 365 group for each new client. We’d like to automate steps like that using tools like Microsoft PowerAutomate and Zoho Flow. Review accounting records for potential errors: Using the QuickBooks Online API, we’d like to check accounting records for certain types of errors (an accountant will be available to explain what we need to catch, the logic, etc. – we know that you might not know accounting). …and many more! There are many more exciting projects in the backlog. Tech involved: Many projects will require the use of Zoho Deluge (more details here). You don’t need prior knowledge of this, but you should be ready to learn it and become an expert in it. Most apps will be server/cloud-based and/or web/browser-based. There will be very few desktop or mobile applications. If you are not experienced in building desktop or mobile apps, it is okay – if we need to work on a desktop or mobile app, we have people in the company who can help you with it. For some projects, you will be able to choose the languages, frameworks, and other technologies you want to use to accomplish the goal. In other cases, it will be defined in advance. See more about tech skills needed in the next section below. Note: you will be building, testing, and maintaining the apps mostly independently. Requirements Full-stack developer who can independently build apps: The ideal candidate can handle all programming tasks involved in projects like the examples above by themselves, especially for browser-based and cloud-based apps. You will need to be able to create apps from scratch independently, and also test them and maintain them. However: If a designer is needed for a project, we can provide you with a designer. If we need to make any kind of desktop/mobile app, we have specialists who can help with it. If you need input from an accountant for an accounting-related project, or any other kind of expert from within the company, of course, you will be able to collaborate with them as needed.. Open to many different types of projects: As the examples above show, there is huge variety in the work, the systems and software involved, etc. You should be open and excited to try many different things, even though some will require learning new things. Creative, resourceful, innovative. For some projects, we can provide very detailed specs. In other cases, we will discuss an idea with you – the big-picture goal for the app – and then we’d ask you to work with us as we fill in the specs together. And once you are familiar with our business, we will want to hear your ideas for new automations, too! Fast & efficient coder Successful track record building useful apps. Ideally, you have recently used generative AI in an app you built. It would be great (preferred but not required) if you have an understanding of how to use OpenAI's GPT-4 API, including embeddings, fine-tuning, and more. Security: Skills and knowledge related to cybersecurity best practices would be helpful. Security will be important to many of our projects. English: You will need to be able to communicate in English fluently enough to discuss complex technical topics. Technology skills: JavaScript​: Strong expertise is required. You should have experience building complex apps in JavaScript. Node.js: Not required, but preferred. Either React or Angular: It’s ideal if you are familiar with one of these, but neither are required. Database management: At a minimum, you should have basic knowledge of SQL. Ideally, you have some experience in both SQL and NoSQL databases. However, deep expertise is not required in either. RESTful APIs. For example, some projects will require the use of APIs like Microsoft Graph API and QuickBooks Online API. However, you don’t need to have prior experience with those specific APIs. Most APIs we’ll use are secured using OAuth, so you should be familiar with OAuth. Cloud platforms like AWS, Azure, or Google Cloud for hosting services and data storage. At least a little experience with at least one of these platforms is required. Other preferred (but not required) skills: Shell scripting Git for version control, etc. Any automation and/or integration experience with Microsoft Office 365, or Zoho, or Google Workspace. Other skills: Strong communication and project management skills; ability to set clear expectations, accurate deadlines, etc. Close attention to detail Ability to self-manage (we're looking for someone who can work independently; we do not want someone we need to micromanage) Benefit sMost hours can be flexible – you can work at the times convenient to you. However, you would be required to be available 9:30am to 11:00am Eastern Time, Mondays through Thursdays (i.e. all weekdays except Friday) .For full-time staff, a standard leave and holiday schedule is included .Monthly pay amounts depends greatly on experience and skills :When work starts: Candidates meeting the requirements above: $2000-$3000 Candidates exceeding the requirements above: $3000-$3500 After 1 year of work: With exceptional performance: 10-20% increase With strong performance: 5-10% increase With ordinary performance: 2-4% increase Additional bonuses possible for results that exceed expectations. Amounts above assume full-time work . Show more Show less