4010 Openai Jobs - Page 19

Location : Hyderabad, India (Hybrid or In-office) Type : Full-time Experience : 2–5 years (Exceptional freshers or self-taught candidates welcome) Team : Product Engineering – AI/ML 🧠 About the Role We're building a 10X team at the intersection of AI, product, and education . As an AI/ML Product Engineer , you’ll go beyond theory—shipping real products that impact millions. If you’re obsessed with LLMs, can build and break fast, and thrive in a builder-led, product-driven environment, we want you. ✅ What You’ll Do Build and deploy AI/ML-powered tools and features using LLMs, LangChain, RAG pipelines, and vector databases Rapidly prototype and ship minimum viable products (MVPs) within weeks Collaborate with product designers to create intuitive, impactful user experiences Work closely with platform teams to integrate AI into products like Certs365 and Proctoring365 Debug and improve user flows with a fixer-first mindset Think in systems — map out how various parts of the product fit together for scale Contribute to a mission-first culture , solving real problems in skilling, certification, and lifelong learning 🔍 What We’re Looking For1. AI/ML Proficiency Hands-on with LLMs, LangChain, Pinecone/FAISS, RAG, OpenAI APIs, etc. 2. Builder Mindset You've shipped live products, tools, or demos—fast. (Think Replit, Product Hunt, or your own portfolio.) 3. Product Thinking You care about UX, not just models. You've redesigned flows or debugged frustrating interfaces. 4. Fixer Mentality You love squashing bugs and improving user experiences—even when no one asks. 5. Systems Thinking You see how everything connects: APIs, DBs, frontend, backend, and users. 6. Mission-Driven Approach You want to build meaningful AI solutions in education, skilling, or social impact—not just cool tech. 7. Communication Skills You can clearly explain decisions in docs, demos, or during standups. 📎 Bonus Points For Contributions to open-source AI tools Prior experience in edtech, skilling platforms, or learning ecosystems GitHub, Product Hunt, Kaggle, or public portfolios Hyderabad-based but open to hybrid flexibility 🎯 Why Join Us? Work with a mission-driven, 10X team Solve real-world problems with AI, at scale Build products used by thousands (soon millions) in the learning space Autonomy, velocity, and ownership from Day 1

Responsibilities Collaborate closely with product and engineering teams to optimise AI agent performance. Conduct context tuning to enhance AI output quality for various career-related applications. Analyse and refine AI responses by iterating on prompts and logic to boost accuracy and relevance. Understand user personas and product goals to ensure AI behaviour aligns with them. Document experiments, logic flows, and enhancements in a clear, structured format. Communicate findings and recommendations effectively across both technical and non-technical teams. Collaborate with the Client Success team to resolve client issues and manage data-related technical requirements. Requirements Strong technical background with a degree in computer science or equivalent experience as a developer. At least 2 years of programming experience in the industry. Prior experience of working on Agents is s a plus Proficiency in Python, SQL, RESTful API design and development. Experience with cloud platforms such as AWS, Google Cloud, or Azure. Familiarity with version control systems like Git. Understanding of FastAPI, OpenAI and LLMs working. Knowledge of data structures, algorithms, and software design principles. Ability to collaborate effectively in a fast-paced, agile environment. Excellent communication skills, both written and verbal, to translate technical concepts into business language and vice-versa. Familiarity with AI/ML concepts or prompt engineering is a plus (not mandatory). What We Offer: A unique opportunity to innovate at the intersection of AI, education, and career development. A dynamic, collaborative, and inclusive work culture that values diverse perspectives. Comprehensive professional development with access to continuous learning and growth opportunities. A chance to make a real impact by shaping the future of AI-driven solutions.

Key Responsibilities: • Develop and implement machine learning models and algorithms. • Work closely with project stakeholders to understand requirements and translate them into deliverables. • Utilize statistical and machine learning techniques to analyze and interpret complex data sets. • Stay updated with the latest advancements in AI/ML technologies and methodologies. • Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications: • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. • Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills: • Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack, NLP using python • Strong knowledge and experience in Generative AI/ LLM based development. • Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). • Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. • Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data – including indexing, search, and advance retrieval patterns. • Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. • Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. • Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. • Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. • Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL • Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). • Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). • Experience with version control systems (e.g., Git, CodeCommit). Good to have Skills • Knowledge and Experience in building knowledge graphs in production. • Understanding of multi-agent systems and their applications in complex problemsolving scenarios

Over 12 years of extensive experience in AI/ML , with a proven track record of architecting and delivering enterprise-scale machine learning solutions across the Retail and FMCG domains . Demonstrated ability to align AI strategy with business outcomes in areas such as customer experience, dynamic pricing, demand forecasting, assortment planning, and inventory optimization. Deep expertise in Large Language Models (LLMs) and Generative AI , including OpenAI’s GPT family , ChatGPT , and emerging models like DeepSeek . Adept at designing domain-specific use cases such as intelligent product search, contextual recommendation engines, conversational commerce assistants, and automated customer engagement using Retrieval-Augmented Generation (RAG) pipelines. Strong hands-on experience developing and deploying advanced ML models using modern data science stacks including: Python (advanced programming with focus on clean, scalable codebases) TensorFlow and Scikit-learn (for deep learning and classical ML models) NumPy , Pandas (for data wrangling, transformation, and statistical analysis) SQL (for structured data querying, feature engineering, and pipeline optimization) Expert-level understanding of Deep Learning architectures (CNNs, RNNs, Transformers, BERT/GPT), and Natural Language Processing (NLP) techniques such as entity recognition, text summarization, semantic search, and topic modeling – with practical application in retail-focused scenarios like product catalog enrichment, personalized marketing, and voice/text-based customer interactions. Strong data engineering proficiency , with experience designing robust data pipelines, building scalable ETL workflows, and integrating structured and unstructured data from ERP, CRM, POS, and social media platforms. Proven ability to operationalize ML workflows through automated retraining, version control, and model monitoring. Significant experience deploying AI/ML solutions at scale on cloud platforms such as AWS (SageMaker, Bedrock) , Google Cloud Platform (Vertex AI) , and Azure Machine Learning . Skilled in designing cloud-native architectures for low-latency inference, high-volume batch scoring, and streaming analytics. Familiar with containerization (Docker), orchestration (Kubernetes), and CI/CD for ML (MLOps). Ability to lead cross-functional teams , translating technical concepts into business impact, and collaborating with marketing, supply chain, merchandising, and IT stakeholders. Comfortable engaging with executive leadership to influence digital and AI strategies at an enterprise level.

Product Development & Enhancement Work on improving the frontend (React Native) and backend (Python/Django/FastAPI) of the main app. Address open loops in content architecture, recommendation systems, and backend workflows. Optimize UI/UX and responsiveness across devices. AI Tool Integration Integrate and experiment with AI tools such as OpenAI, LangChain, Cursor, Weaviate, and LlamaIndex to enhance product intelligence. Assist in prompt tuning, testing, and refining context-aware conversations for our seeker and facilitator agents. Prompt Engineering Design detailed, structured, and contextual prompts that fuel AI agents for coaching, guidance, journaling, and more. Collaborate with the content and design teams to build human-like, helpful agent experiences. Full Stack Support Build and manage a parallel web project using React (or similar), Python, and SQL/NoSQL DBs. Ensure secure database management, clean API design, and seamless frontend-backend coordination. Who You Are Proficient in Python and React Native. Familiar with REST APIs, Git workflows, and database management (MongoDB/PostgreSQL/Firebase). Open to using and learning AI tools (OpenAI API, LangChain, DALL·E, Figma AI, N8n, Replit, etc). Able to approach tech problems with logic A self-starter who thrives in ambiguity and is excited by spiritual or conscious tech. Bonus Points If You Have experience working with AI-based app features, chatbots, or semantic search. Have done prompt engineering or used LLMs in a previous project. Know No-Code/Low-Code tools like Bubble, Webflow, or Retool. Skills: prompt,ai tools integration,rest apis,mongodb,django,firebase,postgresql,git workflows,react,fastapi,python,react native

Role- Backend Engineer (Python + AL/ML) Location- Hyderabad (Hybrid) Experience- 2-4 years Notice Period- Immediate to 15 days The Role We are looking for a talented and motivated Backend Engineer to join our core team. You will be the architect of our server-side logic and a key player in building the intelligent features that will define our product. While your foundation will be in rock-solid backend development, you'll have a unique opportunity to work with cutting-edge AI technologies, including Large Language Models (LLMs), to build features that feel like magic. What You’ll Be Doing • Build the Core: Design, develop, and maintain scalable, high-performance backend services and APIs using Python, FastAPI, and PostgreSQL/MongoDB. • Pioneer AI Features: Spearhead the integration of Large Language Models (LLMs) to create groundbreaking product features. This includes everything from prompt engineering to building robust application logic around AI services. • Shape the Product: Collaborate closely with everyone—frontend developers, designers, and marketing folks—to brainstorm new ideas and translate them into technical realities. • Own the System: Take ownership of our system's architecture, from High-Level Design (HLD) down to Low-Level Design (LLD), ensuring we build for scale and reliability. • Move Fast: You'll join a fast-paced environment where you'll have to experiment, learn quickly, and see your work deployed rapidly. What We're Looking For (The Essentials) • Strong Backend Foundation: 1-3 years of professional experience in backend software development, building and deploying backend systems professionally. • Python & FastAPI Expertise: Strong knowledge of Python and significant experience with FastAPI. • Architectural Mindset: A solid grasp of both Low-Level Design (LLD) and High- Level Design (HLD) principles. You can think systematically about trade-offs, scalability, and maintainability. • API Craftsmanship: Ability to design, build, and maintain clean, efficient, and well- documented APIs. You'll Really Catch Our Eye If You Have: • Experience with AI/LLMs: You've built products or applications that integrate with LLMs (e.g., using APIs from OpenAI, Anthropic, or open-source models from Hugging Face). • Model Finetuning Experience: You have hands-on experience finetuning pre-trained models to improve their performance on specific tasks. • Familiarity with the AI Ecosystem: You're comfortable with concepts or tools like vector databases (e.g., Pinecone, Chroma), retrieval-augmented generation (RAG), or frameworks like LangChain.

About Debales.ai Are you passionate about artificial intelligence and looking to kickstart your career in a dynamic tech company? Debaales.ai is seeking an AI intern to join our innovative team. As an AI intern, you will have the opportunity to work on cutting-edge projects and gain hands-on experience in the field of AI. Location - Work from home Duration - 6 months Stipend - Rs.5000 per month Roles and Responsibilities:- 1. Collaborate with our team of AI experts to develop and deploy AI models 2. Assist in analyzing and interpreting complex data sets to drive business insights 3. Contribute to the design and implementation of machine learning algorithms 4. Proficiency in programming languages like Python, with experience in frameworks like LangChain 5. Hands-on experience with LLMs (e.g., OpenAI, Hugging Face, etc.) 6. Strong understanding of retrieval systems and vector databases (e.g., Pinecone, Weaviate) 7. Experience deploying solutions on cloud platforms (AWS, Azure, or Google Cloud) 8. Familiarity with chatbot frameworks and APIs for integration 9. Experience in building conversational AI solutions for specific industries or applications 10. Knowledge of prompt engineering and fine-tuning LLM The ideal candidate is a creative problem solver who will work in coordination with cross-functional teams to design, develop, and maintain our next generation websites and web tools. You must be comfortable working as part of a team while taking the initiative to take lead on new innovations and projects. Qualifications · Bachelor's degree or equivalent experience in Computer Science · Previous experience in using HTML, CSS, and JavaScript · Proficiency in at least one server-side technology (Java, PHP, NodeJS, Python, Ruby) · Ability to multi-task, organize, and prioritize work Skills Artificial intelligence Data Science Data Structures Deep Learning Machine Learning Natural Language Processing (NLP) Neural Networks Python Other Information :- · Availability: Candidate must be available for a duration of 6 months . · Meeting Hours: Must be able to join meetings from 6:30 PM to 12:00 AM . · Knowledge or have worked with agents, tools and built multi agentic architecture.

🚨 We're Hiring! Senior Data Scientist | Indore | C2H 🚨 Are you passionate about LLMs, RAG architecture, and building intelligent AI-driven chatbots? We’re on the lookout for a talented Senior Data Scientist (5+ years experience) to join our team and work on cutting-edge solutions involving Large Language Models, Retrieval-Augmented Generation, and MySQL-backed chatbot development. 📍 Location: Indore (Hybrid/Onsite) 💼 Engagement Type: Contract to Hire (C2H) 🧠 Key Skills: ✔️ LLMs (GPT, LLaMA, Claude, etc.) ✔️ RAG, LangChain, OpenAI API ✔️ Python, PyTorch/TensorFlow ✔️ MySQL, FAISS/Pinecone/Weaviate ✔️ AI chatbot development & deployment (Docker, Kubernetes, Cloud) 🔍 If you have hands-on experience in fine-tuning transformer models, building custom embeddings, and working with vector databases, this is a golden opportunity to shape next-gen AI products. 💬 Interested or know someone who might be? 📩 DM me or share your resume at nehasisodiya@orbioninfotech.com #DataScience #LLMs #RAG #Hiring #IndoreJobs #AIJobs #LangChain #OpenAI #ChatbotDevelopment #C2H #SeniorDataScientist

About Wai Technologies At wai , we’re accelerating software innovation by 3x through automation, augmentation, and AI. From modernizing enterprise systems to designing futuristic apps with our Raaghu design system and AI Pundit tools, we build scalable, intelligent solutions that deliver measurable impact. Join us and be part of a team that's shaping the future of development. The Opportunity: We’re looking for a hands-on Tech Lead who is on the fast track to becoming a Solution Architect . This role is perfect for someone who thrives on building with the Microsoft tech stack (.NET, C#), designing on Azure, and leading teams to deliver AI-powered cloud solutions. You'll work closely with our product and engineering heads, and lead the technical roadmap for high-impact client projects. What You’ll Do: Lead solution design, development, and deployment of modern cloud-native applications on Azure Architect scalable services using .NET Core, C#, Azure Functions, Web APIs, and microservices Collaborate with product managers, designers, and clients to turn business needs into working solutions Mentor a team of developers, perform code reviews, and drive best practices Implement DevOps pipelines, monitoring, and security patterns Participate in pre-sales discussions and help shape solution proposals and estimations What We’re Looking For: 6–10 years of experience in Microsoft .NET Core, C#, ASP.NET, Web API Proven hands-on experience with Azure PaaS (App Services, Azure Functions, Logic Apps, ADF, Cosmos DB, Service Bus, etc.) Strong foundation in software architecture patterns (microservices, event-driven, serverless) Experience with CI/CD pipelines (Azure DevOps or GitHub Actions preferred) Bonus: Knowledge of AI/ML integration, OpenAI, Azure AI Services , or exposure to Raaghu / ABP.io / ASP.NET Zero platforms Excellent communication, team leadership, and solutioning skills Passion to grow into a full-fledged Solution Architect Why Join wai technologies? Architect-track role: We’ll support your transition into a formal Architect role within 12–18 months Work on cutting-edge AI and cloud-native platforms like Raaghu and AI Pundit Flat hierarchy, high ownership, and real impact on products and clients Flexible, remote-friendly culture with a focus on learning and career growth Apply now if you’re ready to architect the future.

Job Title: Senior AI Engineer Location: Bangalore, Gurugram Experience: 4-9 Years Role Overview We are seeking highly skilled AI Engineers to lead the design and delivery of cutting-edge LLM-powered , agentic AI solutions. The role requires deep expertise in RAG pipelines , prompt engineering , and scalable deployment of AI systems in production environments. Key Responsibilities Design, develop, and optimize Retrieval-Augmented Generation (RAG) systems, including: Data ingestion pipelines Vector embedding & indexing Hybrid retrieval and grounded generation Work hands-on with LLM APIs such as OpenAI, FILxGPT, and other foundation models. Architect intelligent, agentic workflows that combine retrieval, generation, and tool execution. Engineer and iterate on high-impact prompts and prompt chains for complex tasks. Drive model governance, including versioning, monitoring, and bias/security auditing. Collaborate across teams to scale AI services in production-grade environments. Mentor junior developers and support knowledge sharing within the AI/ML team. Required Skills & Qualifications 4–9 years of experience in AI/ML Engineering or Data Science 2+ years of hands-on work with LLMs, RAG architectures, and agentic systems Strong understanding and implementation experience in: Prompt Engineering Vector Databases (e.g., FAISS, Pinecone, Weaviate) RAG architectures Proficiency in: Python Cloud Platforms (AWS preferred) Containerization: Docker, Kubernetes CI/CD tools for model and API deployments Excellent communication and stakeholder management skills Strong ability to guide and mentor junior team members

Job Title: Data Scientist Location: Chennai (Work From Office) Experience: 4 - 8 years About Us: At Objectways, we are at the forefront of AI innovation, solving real-world problems using cutting-edge machine learning and reasoning technologies. Our team works on ambitious projects involving agent trajectory prediction, complex reasoning systems, multimodal intelligence, and preference-based learning. We're looking for a talented Data Scientist eager to push the boundaries of applied AI. Role Overview: We are seeking an experienced Data Scientist (minimum 4 years) to work across a diverse range of AI projects, including: Machine Learning model development Agent Trajectory prediction and modeling Complex Reasoning and Decision Systems Preference Ranking & Reinforcement Learning Multimodal Reasoning (Text, Image, Audio) Prompt Validation and Evaluation for LLMs Key Responsibilities: Design and build ML models for structured and unstructured data Conduct agent-based simulations and develop trajectory learning systems Apply preference learning techniques for fine-tuned ranking outcomes Handle multimodal datasets and develop reasoning pipelines across modalities Validate and optimize prompts for large language model performance Translate research into scalable, production-level implementations Collaborate with cross-functional teams (Engineering, Product, Research) Required Qualifications: Minimum 4 years of hands-on experience in Data Science or Machine Learning roles Strong foundation in Python, PyTorch/TensorFlow, scikit-learn, and ML lifecycle tools Proven expertise in one or more: trajectory modeling, preference ranking, or multimodal systems Experience with LLM prompt engineering and evaluation techniques Solid understanding of complex reasoning algorithms, graph-based methods, or causal inference Strong problem-solving, analytical thinking, and communication skills Preferred Skills: Familiarity with tools like LangChain, Hugging Face, or OpenAI APIs Exposure to RLHF (Reinforcement Learning from Human Feedback) or prompt-tuning Experience with deploying ML models in production environments (e.g., using Docker, MLflow) Why Join Us: Work on high-impact, next-generation AI challenges Collaborate with top talent across domains Competitive salary + benefits + learning budget

Job Title: AI Agent Platform Engineer Location: Noida Department: Product Engineering – RevAi Pro Role Overview You will be responsible for designing, developing, and scaling the AI Agent Framework that powers automation-first modules in RevAi Pro, such as Tell Me , Action Center , and intelligent AI agents . This role is critical to shaping the core foundation of how automation, enterprise search, and just-in-time execution work inside our platform. Key Responsibilities 1. Agent Architecture & Runtime Architect and implement the core orchestration engine for AI agents (event-driven/task-based) Manage agent lifecycle functions such as spawn, pause, escalate, and terminate Enable secure, real-time communication between agents, services, and workflows Integrate memory and retrieval systems using vector databases like Pinecone, Weaviate, or Qdrant 2. LLM Integration & Prompt Engineering Integrate LLM providers (OpenAI, Azure OpenAI, Anthropic, Mistral, etc.) into agent workflows Create modular prompt templates with retry/fallback mechanisms Implement chaining logic and dynamic tool use for agents using LangChain or LlamaIndex Develop reusable agent types such as Summarizer, Validator, Notifier, Planner, etc. 3. Backend API & Microservices Development Develop FastAPI-based microservices for agent orchestration and skill execution Create APIs to register agents, execute agent actions, and manage runtime memory Implement RBAC, rate limiting, and security protocols for multi-tenant deployments 4. Data Integration & Task Routing Build connectors to integrate structured (CRM, SQL) and unstructured data sources (email, docs, transcripts) Route incoming data streams to relevant agents based on workflow and business rules Support ingestion from tools like Salesforce, HubSpot, Gong, and Zoom 5. DevOps, Monitoring, and Scaling Deploy the agent platform using Docker and Kubernetes on Azure Implement Redis, Celery, or equivalent async task systems for agent task queues Set up observability to monitor agent usage, task success/failure, latency, and hallucination rates Create CI/CD pipelines for agent modules and prompt updates Ideal Candidate Profile 2–4 years of experience in backend engineering, ML engineering, or agent orchestration Strong command over Python (FastAPI, asyncio, Celery, SQLAlchemy) Experience with LangChain, LlamaIndex, Haystack, or other orchestration libraries Hands-on with OpenAI, Anthropic, or similar LLM APIs Comfortable with vector embeddings and semantic search systems Understanding of modern AI agent frameworks like AutoGen, CrewAI, Semantic Planner, or ReAct Familiarity with multi-tenant API security and SaaS architecture Bonus: Frontend collaboration experience to support UI for agents and dashboards Bonus: Familiarity with SaaS platforms in B2B domains like RevOps, CRM, or workflow automation What You’ll Gain Ownership of agent architecture inside a live enterprise-grade AI platform Opportunity to shape the future of AI-first business applications Collaboration with founders, product leaders, and early enterprise customers Competitive salary with potential ESOP First-mover engineering credit on one of the most advanced automation stacks in SaaS

Position Overview Job Title: AI Python Full Stack Engineer - AVP Location: Bangalore, India Role Description As Senior Engineer you are responsible for designing, developing significant components of engineering solutions to accomplish business goals. Key responsibilities of this role include active participation in the design of their solution components, investigating re-use, ensuring that solutions are fit for purpose and maintainable, and can be integrated successfully into the overall solution and environment with clear, robust and well tested deployments. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Collaborating with others to understand requirements, analyze and refine stories, design solutions, implement them, test them and support them in production Use BDD techniques, collaborating closely with users, analysts, developers and other testers. Make sure we are building the right thing. Rapid prototype development Write code and write it well. Be proud to call yourself a programmer. Use test driven development, write clean code and refactor constantly. Make sure we are building the thing right. Be ready to work on a range of technologies and components, including user interfaces, services and databases. Act as a generalizing specialist. Ensure that the software you build is reliable and easy to support in production. Be prepared to take your turn on call providing 3rd line support when it's needed Help the team to build, test and release software within short lead times and with minimum of waste. Work to develop and maintain a highly automated Continuous Delivery pipeline. Your Skills And Experience Experience in Python (must), NodeJS, ReactJS Experience using LLMs, building ML models Experience building APIs as per OpenAI standard Experience in SQL and noSQL Databases Agentic Framework experience is an added advantage CI/CD, SRE principals and must have experience in production delivery Experience in at least one automation test framework How We’ll Support You Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Webs Optimization Software Solution (www.websoptimization.com/) , Ahmedabad is hiring for Highly Enthusiastic & Motivated Full Stack Developer Job Designation: Full Stack Developer (Node +React js) Job Location: Ahmadabad, Gujarat [WFO Only] Work Experience: 2 - 3 Years Working Days: 5 Days About Our Company: Webs Optimization Software Solution, established in 2013 and based in Sola, S.G. Highway, Ahmedabad, is a leading technology solutions provider. Our team of over 80+ skilled professionals specializes in custom web and mobile app development. We deliver innovative, tailored solutions across various industries, ensuring excellence and customer satisfaction. JOB DESCRIPTION: Enterprise-Level Development: Design, develop, and deploy full-stack web applications for enterprise systems, gaming platforms, and social media applications. Backend Development: Build and maintain scalable backend services using Node.js, Next.js, Nest.js, and related frameworks. Frontend Development: Create dynamic and responsive user interfaces using React.js . Familiarity with Next.js and Vue.js is a plus. Third-Party Integrations: Integrate APIs, payment gateways, cloud services, and social media platforms effectively. Database Management: Design, optimize, and manage both relational (PostgreSQL, MySQL) and NoSQL (MongoDB) databases for large-scale data handling. Cloud Infrastructure: Deploy and manage applications on AWS (e.g., EC2, S3, Lambda, RDS) for scalable and reliable performance. Containerization: Use Docker for application containerization and ensure smooth deployment across environments. Team Leadership & Communication: Lead development teams, mentor junior developers, and maintain clear communication with clients to gather requirements and ensure delivery satisfaction. Performance Optimization: Improve application speed, scalability, and security to ensure high availability and excellent user experience. Agile Collaboration: Work in Agile teams, participating in sprint planning, reviews, and delivering consistent, high-quality results. AI Integration: Collaborate on AI features such as chatbots, recommendation systems, sentiment analysis, or content generation using tools like OpenAI, AWS AI/ML, or Google Cloud AI. Required Skills & Experience Node.js: 2+ years of hands-on experience with scalable backend development. React.js & Next.js: Strong expertise in building modern frontends, including SSR and SSG. Database Expertise: Solid experience with PostgreSQL, MySQL, and MongoDB, including schema design and performance tuning. Cloud Platforms: Proficient in AWS services (EC2, S3, Lambda, RDS) for hosting and scaling applications. Docker: Deep understanding of containerization with Docker; familiarity with orchestration tools like Kubernetes. AI Tooling: Exposure to AI platforms such as OpenAI, Google Cloud AI, or similar tools. Why Join Webs Optimization Software Solution? Working Days: 5 days a week Company History: Incorporated since 2013 Team: An ever-growing team of 80+ highly talented professionals Work Schedule: Flexible working hours Health Benefits: Medical insurance Work Culture: Positive atmosphere and culture promoting personal growth Job Satisfaction: Job satisfaction and stability with a suitable leave policy Company Activities: Fun company activities Benefit of WFH Policy Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹60,000.00 per month Benefits: Flexible schedule Health insurance Leave encashment Life insurance Work Location: In person

Job Information Date Opened 07/10/2025 Job Type Full time Industry IT Services Number of Positions 1 City chennai State/Province Tamil Nadu Country India Zip/Postal Code 600096 About Us Why a career in Zuci is unique! Constant attention is the source of our perfection. We fundamentally believe that building a career is all about consistency. If you jog or walk for a few days, it won’t bring in big results. If you do the right things every day for hundreds of days, you'll become lighter, more flexible, and you'll start enjoying your work and life more. Our customers trust us because of our unwavering consistency. Enabling us to deliver high-quality work and thereby give our customers and Team Zuci the best shot at extraordinary outcomes. Do you see the big picture? Is Digital Engineering your forte? Job Description Develop test strategies, plans, and maintain automation test data Develop and continuously improve automated tests as new system features and enhancements are developed Execute automated tests and manage the resulting defect log through the point of defect fix validation Ensure the appropriate test environments and infrastructures are in place and kept up to date Identify and report to product teams questionable functions, performance concerns, and inconsistencies Document and mentor QA engineers in the use of the testing framework Assist in the identification, selection, and implementation of tools, technologies, and practices that support the overall QA process Contribute to accurate time estimates for automation test development Should have knowledge of Defect Management, Bug life cycle, Performance management. Strong ability to debug test failures and trace to failing code Experience building automation frameworks for web-based software as well as on mobile platforms. Strong background in automation using object-oriented programming language Integrate automated testing into a Jenkins CI/CD framework Strong SQL skills and/or data validation Ability to articulate and drive sustainable processes Strong interpersonal, project management and organizational skills Experience working in an Agile Scrum environment Excellent written & verbal communication skills. Willingness to pitch ideas and test new approaches Extensive knowledge on implementation of coding standards Strong analytical and problem-solving capabilities Leading, mentoring and guiding the team on solution creation, PoC, prototyping, problem solving and consulting engagements Ability to work independently, self-motivated, and highly focused Requirements Test Strategy & Governance Define test strategies for complex AI-integrated systems and data platforms Risk-based testing, observability, and traceability of model decisions Data-Centric Testing Strong understanding of data quality, data validation, and synthetic test data generation Hands-on with tools for test data management and data anomaly detection Performance & Security Testing Load and stress testing for AI APIs and pipelines Familiarity with security aspects in AI systems (model poisoning, adversarial inputs) Cross-functional Collaboration Work with Data Scientists, MLOps, DevOps, and Product teams Ability to translate complex AI requirements into testable use cases Mentorship & Leadership Mentor junior SDETs and QA engineers on AI testing practices Drive innovation and adoption of AI-first testing methodologies within the CoE Analytical & Problem-solving Critical thinking for edge-case analysis, root cause detection, and continuous improvement Exposure to LLM testing (e.g., hallucination detection, prompt validation) Experience with tools like LangChain, OpenAI APIs, or vector databases Certification in AI/ML (Coursera, edX, AWS AI Practitioner, etc.)

Bangalore North, India | Posted on 07/29/2025 Share job via email Share this job with your network Job Information Job Type Full time Date Opened 07/29/2025 Project Code PRJ000 Industry IT Services Work Experience 5- 10 years City Bangalore North State/Province Karnataka Country India Zip/Postal Code 560001 About Us

Budget 0 Job Description Position: AI/ML Solution Architect (GenAI Specialist) Team: ML/GenAI Team Number of Resources Needed: 1 Years of Experience: 3-5 Years Educational Background: BCA, MCA, B.Tech/B.E, M.Tech/ME Type: Full-time Expected Joining Date: ASAP Role Summary: We are looking for an AI/ML Solution Architect with expertise in Generative AI (GenAI) to help design, build, and deploy cutting-edge AI solutions. Whether working in the rapid-paced innovation cycle of a startup or scaling production-grade GenAI systems for enterprise clients, you will serve as a key enabler of value-driven, secure, and scalable AI deployments. Key Responsibilities: Collaborate with sales teams to understand customer requirements and provide expert guidance on ML/Generative AI solutions across a wide range of use cases: content generation, document automation, chatbots, virtual assistants, summarization, search, personalization, and more. Evaluate and integrate open-source LLMs (e.g., LLaMA, Mistral, Falcon), commercial APIs (e.g., GPT-4, Claude, Gemini), and cloud-native GenAI platforms (e.g., AWS Bedrock, Azure OpenAI). Design and deliver compelling Solution and SoW and demonstrations of our Generative AI offerings to both technical and non-technical audiences. Design Retrieval-Augmented Generation (RAG), prompt engineering strategies, vector database integrations, and model fine-tuning where required. Translate business objectives into technical roadmaps, collaborating closely with product managers, engineers, and data scientists. Create prototypes and proof-of-concepts (PoCs) to validate solution feasibility and performance. Provide technical mentorship, best practices, and governance guidance across teams and clients. Skills & Experience Required: Educational Background: Master’s/Bachelor’s degree in computer science, Engineering, or a related field. (e.g., BCA, MCA, B.Tech/B.E, M.Tech/ME) 3-5 years of experience in AI/ML development/solutioning, with at least 1-2 years in Generative AI/NLP applications. Strong command of transformers, LLMs, embeddings, and NLP methods. Proficiency with LangChain, LlamaIndex, Hugging Face Transformers, and cloud AI tools (SageMaker, Bedrock, Azure OpenAI, Vertex AI). Experience with vector databases like FAISS, Pinecone, or Weaviate. Familiarity with MLOps practices, including model deployment, monitoring, and retraining pipelines. Skilled in Python, with working knowledge of APIs, Docker, CI/CD, and RESTful services. Experience in building solutions in both agile startup environments and structured enterprise settings. Preferred/Bonus Skills: Certifications (e.g., AWS Machine Learning Specialty, Azure AI Engineer). Exposure to multimodal AI (text, image, audio/video) and Agentic AI. Experience with data privacy, responsible AI, and model interpretability frameworks. Familiarity with enterprise security, scalability, and governance standards. Soft Skills: Entrepreneurial mindset with a bias for action and rapid prototyping. Strong communication and stakeholder management skills. Comfortable navigating ambiguity in startups and structured processes in enterprises. Team player with a passion for continuous learning and AI innovation. What We Offer: The flexibility and creativity of a startup-style team with the impact and stability of enterprise-scale work. Opportunities to work with cutting-edge GenAI tools and frameworks. Collaborative environment with cross-functional tech and business teams. Career growth in a high-demand, high-impact AI/ML domain.

We are looking for a forward-thinking Data Scientist with expertise in Natural Language Processing (NLP), Large Language Models (LLMs), Prompt Engineering, and Knowledge Graph construction. You will be instrumental in designing intelligent NLP pipelines involving Named Entity Recognition (NER), Relationship Extraction, and semantic knowledge representation. The ideal candidate will also have practical experience in deploying Python-based APIs for model and service integration. This is a hands-on, cross-functional role where you’ll work at the intersection of cutting-edge AI models and domain-driven knowledge extraction. Key Responsibilities: Develop and fine-tune LLM-powered NLP pipelines for tasks such as NER, coreference resolution, entity linking, and relationship extraction. Design and build Knowledge Graphs by structuring information from unstructured or semi-structured text. Apply Prompt Engineering techniques to improve LLM performance in few-shot, zero-shot, and fine-tuned scenarios. Evaluate and optimize LLMs (e.g., OpenAI GPT, Claude, LLaMA, Mistral, or Falcon) for custom domain-specific NLP tasks. Build and deploy Python APIs (using Flask/Fast API) to serve ML/NLP models and access data from graph database. Collaborate with teams to translate business problems into structured use cases for model development. Understanding custom ontologies and entity schemas for corresponding domain. Work with graph databases like Neo4j or similar DBs and query using Cypher or SPARQL. Evaluate and track performance using both standard metrics and graph-based KPIs. Required Skills & Qualifications: Strong programming experience in Python and libraries such as PyTorch, TensorFlow, spaCy, scikit-learn, Hugging Face Transformers, LangChain, and OpenAI APIs. Deep understanding of NER, relationship extraction, co-reference resolution, and semantic parsing. Practical experience in working with or integrating LLMs for NLP applications, including prompt engineering and prompt tuning. Hands-on experience with graph database design and knowledge graph generation. Proficient in Python API development (Flask/FastAPI) for serving models and utilities. Strong background in data preprocessing, text normalization, and annotation frameworks. Understanding of LLM orchestration with tools like LangChain or workflow automation. Familiarity with version control, ML lifecycle tools (e.g., MLflow), and containerization (Docker). Nice to Have: Experience using LLMs for Information Extraction, summarization, or question answering over knowledge bases. Exposure to Graph Embeddings, GNNs, or semantic web technologies (RDF, OWL). Experience with cloud-based model deployment (AWS/GCP/Azure). Understanding of retrieval-augmented generation (RAG) pipelines and vector databases (e.g., Chroma, FAISS, Pinecone). Job Type: Full-time Pay: ₹1,200,000.00 - ₹2,400,000.00 per year Ability to commute/relocate: Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Experience: Natural Language Processing (NLP): 3 years (Preferred) Language: English & Tamil (Preferred) Location: Chennai, Tamil Nadu (Preferred) Work Location: In person

Role: Python Data Engineer- C2H Experience: 6+ Years Contract Duration: 6 months Location: Gurgaon (Hybrid) Shift: IST Job Description: Develop clean, modular Python code for scalable data pipelines Use Pandas to drive data transformation and analysis workflows Integrate with LLM APIs (like OpenAI) to build smart document solutions Build robust REST APIs (FastAPI / Flask) for data and document services Work with Azure cloud (Functions, Blob, App Services, etc.) (Bonus) Integrate with MongoDB and support document workflows

As an experienced candidate with 8-12 years of experience in .NET, Node, and GenAI/Data Science, you will be responsible for leading and contributing to the design, development, and deployment of scalable .NET web applications using C# and .NET Core. You should have a strong hands-on experience in developing web applications and customer-facing integrations using technologies such as C#, .NET 7.0+ / .NET Core, SQL / NoSQL databases, Web API, and Node.js. You must have a minimum of 3 years of experience working with Generative AI models including OpenAI, Google Gemini, and RunwayML. Additionally, you should have proven experience in technical design, development, and support of web applications and API frameworks. Prior experience as a Technical Lead or Architect on enterprise-grade projects is required for this role. Proficiency in using ORM tools like Entity Framework, working knowledge of Azure Stack, cloud deployment processes, and CI/CD pipelines is essential. Experience with Git for version control and collaborative development is also a must-have skill. It would be beneficial if you have familiarity with Microservices and Event-Driven Architectures and knowledge or hands-on experience in Python, Django, Flask, React, and AngularJS. In this role, you will work with Cosmos DB and other databases for backend storage solutions, build and maintain RESTful Web APIs, and integrate Generative AI models into applications. You will participate in architecture discussions, design patterns, and best practices. Supporting CI/CD processes, managing deployments on Azure, and maintaining clean build pipelines are also key responsibilities. You will be required to conduct and participate in code reviews to maintain code quality, implement and manage caching strategies for performance optimization, and translate client requirements into scalable, maintainable, and effective technical solutions. Collaboration with cross-functional teams and effective communication with peers, leadership, and customers via email, phone, or meetings are crucial aspects of this role.,

As a Cloud Platform Engineer at Healthcare Intelligence within Providence, you will be responsible for the Azure Administration to ensure the availability and operational efficiency of the cloud platform. Your role will involve managing critical applications hosted on Azure Infrastructure, including AzureSQL, ADF, AKS, Azure VM, and more. Your primary focus will be on maintaining platform availability, reliability, and performance of the Azure Cloud Infrastructure. In the position of Sr. Cloud Engineer, you will play a crucial role in Azure Infrastructure administration, ensuring a highly available and stable environment with sustained performance. Your responsibilities will include working on various Azure services, implementing automation using IaaC approach, troubleshooting production issues, managing Azure resource utilization, and utilizing Telemetry solutions for monitoring and alerting. Your day-to-day activities will involve monitoring and addressing incidents and user requests related to Azure Infrastructure, collaborating with product teams on application architecture and performance issues, working with Enterprise Infrastructure and Security teams on policy implementation, and engaging with Microsoft support on severity issues. To be successful in this role, you should have a Bachelor's degree in Engineering, a minimum of 5 years of experience in Cloud Infrastructure administration with at least 3 years in Azure administration, strong knowledge of Azure Administration concepts, experience with Infrastructure as Code deployment, Azure DevOps, CI/CD, system reliability, Azure Databricks, Azure AI Services, and more. Additionally, you should be proficient in incident management, source code control systems, agile methodologies, and have excellent communication and collaborative skills. Join our team of professionals who are dedicated to improving patient and caregiver experience through innovative technologies and drive a lasting social impact. If you are a pioneering and compassionate individual who is ready to plan for the future of healthcare, we look forward to working with you in re-imagining the future of care with cutting-edge technologies.,

Position: AI Engineer Intern – GPT + LangChain Company: Eroforze Systems Location: Remote Duration: 30–45 days Stipend: Up to ₹12,000 (performance-based) Overview Eroforze Systems is seeking a passionate AI Intern to work on Edgeryt , our AI-powered productivity platform. You’ll help build features using OpenAI GPT API and LangChain to automate task creation and improve user productivity. Responsibilities Develop and integrate AI features using GPT APIs and LangChain Build prompt workflows for smart task management Collaborate with developers to embed LLMs into our app Optimize AI performance and accuracy Must-Have Skills Python and OpenAI API knowledge Familiarity with LangChain or similar tools Prompt engineering basics Willingness to work in a VDI setup Preferred Skills Vector store/RAG experience LangChain or LlamaIndex exposure Portfolio of AI projects Perks Certificate + real startup experience Work on real AI tools used in production Mentorship and potential long-term role

AI DEVELOPER LLM SPECIALIST Full-time. Company Description RMgX is a Gurgaon based digital product innovation & consulting firm. Here at RMgX, we design and build elegant, data-driven digital solutions for complex business problems. At the core of solutions crafted by us is a very strong user experience practice to deeply understand the goals and emotions of business and end-users. RMgX is driven by a passion for quality and we strongly believe in our people and their capabilities. Duties And Responsibilities Design, develop, and deploy AI solutions using Large Language Models (LLMs) such as GPT, LLaMA, Claude, or Mistral. Fine-tune and customize pre-trained LLMs for business-specific use cases. Build and maintain NLP pipelines for classification, summarization, semantic search, etc. Build and maintain vector database pipelines using Milvus, Pinecone, etc. Collaborate with cross-functional teams to integrate LLM-based features into applications. Analyze and improve model performance using appropriate metrics. Stay up-to-date with AI/ML research and integrate new techniques as appropriate. Work Experience 12 years of experience in AI/ML development with specific focus on NLP and LLM-based applications. Skills, Abilities & Knowledge Strong hands-on experience in Python and AI/ML libraries (HuggingFace Transformers, LangChain, PyTorch, TensorFlow, etc. Proficiency in working with closed-source models via APIs (e.g , OpenAI, Gemini). Understanding of prompt engineering, embeddings, and vector databases like FAISS, Milvus or Pinecone. Experience in deploying models using REST APIs, Docker, and cloud platforms (AWS/GCP/Azure). Familiarity with MLOps and version control tools (Git, MLflow, etc. Knowledge of LLMOps platforms such as LangSmith, Weights & Biases is a plus. Strong problem-solving skills, a keen eye for detail, and ability to work in an agile setup. Qualifications Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Additional Information Perks And Benefits Flexible working hours. Saturday and Sundays are fixed off. Health Insurance and Personal Accident Insurance. BYOD (Bring Your Own Device) Benefit. Laptop Buyback Scheme. (ref:hirist.tech)

Job Description As an Automation Tester, the candidate will be responsible for developing and executing automated test scripts using Python and the Robot Framework. Candidate will integrate AI technologies to enhance QA processes, ensuring robust and efficient testing methodologies. His/her expertise in AI tools and platforms like Copilot and Cursor will be pivotal in optimizing our testing Skills : Integrate AI technologies, including LLMs such as OpenAI's GPT(GPT-3,GPT-4),GitHub Copilot, Anthropic's Claude ,CodeGen into testing processes to enhance efficiency and accuracy. Utilize LLMs to generate test cases, automate documentation, and assist in exploratory testing by predicting potential failure points. Enhance test scripts and processes with AI capabilities to predict and prevent potential Expertise : Stay updated on emerging AI technologies relevant to testing Provide guidance and support on the use of AI tools to improve testing practices. Develop and document automation strategies, tools, processes, and best practices using Python with Robot Framework (ref:hirist.tech)

You will be joining a technology-driven publishing and legal-tech organization that is currently expanding its capabilities through advanced AI initiatives. With a strong internal team proficient in .NET, MERN, MEAN stacks, and recent chatbot development using OpenAI and LLaMA, we are seeking an experienced AI Solution Architect to lead the design, development, and deployment of transformative AI projects. As an AI Solution Architect, you will play a critical role in designing and delivering enterprise-grade AI solutions. Your responsibilities will include architecting, planning, and implementing AI solutions using Vector Databases, RAG Pipelines, and LLM techniques. You will lead AI solution design discussions, collaborate with engineering teams to integrate AI modules, evaluate AI frameworks, and mentor junior AI engineers and developers. To excel in this role, you should have a Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or related fields, along with at least 5 years of experience in software architecture with a focus on AI/ML system design and project delivery. Hands-on expertise in Vector Search Engines, LLM Tuning & Deployment, RAG systems, and RLHF techniques is essential. You should also have experience working with multi-tech teams, strong command over architecture principles, and excellent team leadership skills. Experience with tools like MLflow, Weights & Biases, Docker, Kubernetes, and Azure/AWS AI services would be a plus. Exposure to data pipelines, MLOps, and AI governance, as well as familiarity with enterprise software lifecycle and DevSecOps practices, are also desirable. If you are passionate about AI technology, have a proven track record of delivering AI projects, and enjoy leading and mentoring technical teams, we encourage you to apply for this exciting opportunity to drive AI adoption across products and internal processes.,

Company Description 👋🏼 We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total Experience 7+ years Strong experience in software testing e, including experience in automating test cases for web applications Expertise in API testing, database validation, and wide-ranging test methodologies. Experience using Selenium WebDriver and TFS, JIRA, GIT, Jenkins or other CI/CD tools Design, develop and execute automated tests using Java, C#, JavaScript, Python, VBScript, Maven or other languages as required. Strong experience in Cloud development. Solid experience with tools such as Selenium, Playwright, Rest Assured, Appium, JMeter. Hands-on with GenAI platforms (OpenAI, Claude, Gemini) and AI-powered development/test tools like ChatGPT, GitHub Copilot. Strong understanding of cloud platforms (AWS, Azure, GCP) and microservices architectures. Should have experience in one Cucumber or Specflow. Have a good experience in Test Automation Framework, Behavior Driven Testing, Gherkin, Jenkins, API Testing, Test Planning and Strategy, Rest Assured as required Use testing tools such as UFT, TOSCA, Test Complete, Katalon Studio, Appium, Coded UI, Protractor, Selenium, or other tools as required. Use testing frameworks such as Junit, Nunit, TestNg or other frameworks as required. Solid understanding of Agile principles and experience working in an Agile environment Collaborate with the software development team and other stakeholders on software quality RESPONSIBILITIES: Understanding the projects functional and non-functional requirements and the business context of the application being developed. Understanding and documenting requirements validated by the SMEs Interacting with clients to identify the scope of testing, expectations, acceptance criteria and availability of test data and environment. Working closely with product owner in defining and refining acceptance criteria. Preparing test plan/strategy Estimating the test effort and preparing schedules for testing activities, assigning tasks, identifying constraints and dependencies Risk management – identifying, mitigating and resolving business and technical risks. Determines the potential causes of problems and analyses multiple alternatives. Designing and developing a framework for automated testing following the project's design and coding guidelines. Set up best practices for test automation. Preparing test reports to summarize the outcome of the testing phase and recommending whether the application is in a shippable state or not Communicating measurable quality metrics, with the ability to highlight problem areas and suggest solutions Participating in retrospective meetings, helping identify the root cause of any quality related issue and identifying ways to continuously improve the testing process Conducting demos of the application for internal and external stakeholders Working with team and stakeholders to triage and prioritize defects for resolution Giving constructive feedback to the team members and setting clear expectations Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.