4010 Openai Jobs - Page 28

Position : Full Stack Engineer – Intern (AI/ML Exposure) Experience Required : Minimum 1 year (internship/freelance/full-time) Location : Fully Remote Start Date : Immediate Stipend : Competitive (based on experience & contribution) Duration : 6 months (with strong possibility of full-time conversion) 🧠 About Us We’re building an AI-powered LinkedIn Outreach SaaS platform to help GTM teams scale smarter. Think ultra-personalized messaging, intelligent lead scoring, and full workflow automation — all backed by the best of AI. To supercharge our dev velocity, we're using Readdy.ai for frontend acceleration — combining human creativity and AI efficiency. What You’ll Do Work across the full stack , building scalable backend services (Node.js/NestJS) and polished frontend components via Readdy.ai . Integrate AI/ML features like lead prediction, smart messaging , and LLM-powered workflows using OpenAI and LangChain. Collaborate with cross-functional teams including Product, Design, and AI researchers. Contribute to the entire product lifecycle — from ideation to release. Work in a startup culture — fast iterations, direct impact, and tons of learning. Our Stack Frontend : React + Readdy.ai (AI-assisted UI/UX generation) Backend : Node.js / NestJS Databases : PostgreSQL / MongoDB AI/ML : OpenAI, LangChain, Pinecone, Python (optional) Dev Tools : GitHub, CI/CD, Docker (optional) What We’re Looking For 1+ year experience in full stack web development (internship or freelance ok). Strong JavaScript/TypeScript skills. Experience working with APIs and databases. Curiosity or basic hands-on exposure to AI/ML tools (bonus if you’ve played with OpenAI, LangChain, or built personal AI projects). Ability to work independently in a fully remote team. 🎯 Why Join Us? Fully remote flexibility with a fast-growing SaaS product. Learn how AI integrates into real B2B SaaS tools. Small team = high visibility and growth. Fast-track opportunity for full-time role based on performance.

```html About the Company : We’re looking for a highly driven and visionary Senior AI Automation & Systems Lead to partner directly with the founder in building out our next-gen operating systems. Your mandate is to turn vision into systems, code into outcomes, and potential into performance. You will spearhead the architecture and deployment of automation infrastructure and AI agents across departments—from media operations to manufacturing floors. About the Role : This role involves working closely with the founder to develop innovative operating systems that enhance performance and efficiency across various departments. Responsibilities : Architect automation workflows using tools like n8n, Zapier, Make, and custom scripts Design and maintain scalable Airtable (or equivalent) infrastructure for data ops and automation backends Build and deploy AI agents using OpenAI, LangChain, AutoGen, etc. Orchestrate and govern agents via a Multi-Agent Control Panel (MCP) for lifecycle, security, and reliability Integrate cross-platform APIs - Google Workspace, Slack, CRMs, ERPs, Notion, Ads, and more Identify, evaluate, and implement high-leverage automation across business and media ops Define and track automation KPIs, build internal dashboards, and lead optimization cycles Mentor junior developers and document systems for easy onboarding and handover Qualifications : 4–8 years of hands-on experience in automation, backend systems, or AI operations Proven track record in deploying autonomous agents in real-world applications Deep knowledge of n8n, Airtable, REST APIs, and automation logic Understanding of API architecture, including auth flows and error handling Familiarity with MCPs, agent orchestration, and lifecycle governance Experience with LangChain, Claude, Pinecone, Firestore, OpenRouter, or RAG systems is a plus Exceptional communication skills with the ability to translate tech into business outcomes Required Skills : Strong experience in automation, backend systems, and AI operations. Preferred Skills : Familiarity with various automation tools and platforms, as well as experience in mentoring and documentation. Pay range and compensation package : Not specified. Equal Opportunity Statement : We are committed to diversity and inclusivity in our hiring practices. Why Join Us? : You’ll work directly with the Founder to reimagine an industry Build systems that touch factories, media studios, and global marketing pipelines Opportunity to work with a dynamic team in a fast-paced environment Ready to Build the Future? If you're excited to create systems that think faster than people and build tech that drives creativity and execution at scale, we want to hear from you. Please send us: Your updated professional profile Work samples (automation flows, agent deployments, dashboards, etc.) A note on: “If you had to automate 50% of an ad agency and packaging unit tomorrow, what would you do first?” Location : Gurugram ```

Company Profile: Solytics Partners is a Global Analytics firm, recognized with multiple industry awards for innovation and excellence. Our team comprises experts with deep domain knowledge in risk, analytics, AI/ML, AML/FCC, and fraud. By converging this expertise with cutting-edge technologies like AI, Machine Learning, Generative AI, and Large Language Models (LLMs), we deliver powerful automated platforms and incisive point solutions. Our offerings enable clients to streamline and future-proof their risk, AML, and analytics processes, comply seamlessly with global regulations, and safeguard financial systems. Whether it’s solving complex challenges or driving operational efficiency, Solytics Partners is committed to empowering organizations with transformative tools to stay ahead in an evolving regulatory landscape. Job Title: Data Scientist/ Sr. Data Scientist Location & Timings: Kalyani Nagar, Pune, Hybrid Education Qualification: Bachelor’s or Master’s Degree in Computer Science, Mathematics, Engineering, or related discipline. Job Description: We are looking for a skilled Senior Data Scientist with experience in building cutting-edge AI solutions, particularly in the domains of Generative AI, Agentic AI, and LLM-based architectures. If you’re passionate about developing intelligent, autonomous systems, this role offers an exciting opportunity to work on impactful, next-gen AI initiatives. Responsibilities: Architect and implement multi-agent AI systems leveraging LLM frameworks such as LangChain, LangGraph, and AutoGen. Develop context-aware RAG pipelines to power grounded, relevant AI outputs. Design and deploy scalable Generative AI services using FastAPI and integrate them with Azure AI pipelines. Orchestrate complex agent workflows involving memory, planning, and decision-making tools. Partner closely with engineers, product teams, and legal domain experts to identify automation opportunities within legal and compliance workflows. Apply NLP techniques to process and extract insights from unstructured legal data. Manage and optimize structured and unstructured data pipelines using tools like PostgreSQL, Solr, and CosmosDB. Key Requirements: Strong command of Python and relevant libraries such as LangChain, LangGraph, Transformers, spaCy, and scikit-learn. Proven experience working with Large Language Models (GPT, Claude, LLaMA, etc.), including fine-tuning and customization. Familiarity with agentic AI concepts and hands-on experience developing tool-using, reasoning agents. Skilled in building APIs using FastAPI and managing ML workflows with MLflow. Experience working with cloud-based AI platforms such as Azure AI, OpenAI APIs, or AWS Bedrock. Deep understanding of RAG architectures, semantic search, and vector databases. Proficient in SQL, comfortable working on Linux, and experienced with containerized and distributed environments. Strong grasp of data structures, statistical modelling, and backend database architecture. If Interested, Please share your resume at aayush.kumar@solytics-partners.com

Silverpush is at the forefront of AI-powered video advertising, delivering sophisticated video ad solutions that empower brands to achieve impactful campaigns within a privacy-centric environment. Operating across 30+ countries, we specialize in creating contextually relevant advertising experiences that drive genuine engagement and conversion. Silverpush's commitment to innovation and technological advancement enables us to navigate the evolving digital landscape, providing our partners with the tools necessary to connect with audiences on a global scale. We are dedicated to fostering a culture of creativity and excellence, driving the future of ad tech with integrity and foresight. For more information about Silverpush’s innovative advertising solutions, please visit www.silverpush.co. Responsibilities: ● Analyze complex datasets to identify trends, patterns, and correlations, and extract actionable insights that can inform strategic decisions. ● Design and build predictive models using statistical and machine learning techniques (e.g., regression, classification, XGBoost, clustering). ● Research and develop analyses and forecasting and optimization methods across ads performance, content performance modeling, and live experiments. ● Research and prototype using cutting-edge LLM technologies and generative AI to unlock new opportunities in personalization, targeting, and automation. Ideal Candidate Profile ● 3+ years of experience in Data Science, ideally in advertising or media-related domains. ● Degree in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Masters in DS). ● Deep experience working with large-scale structured and unstructured data. ● Strong foundation in machine learning and statistical modeling. ● Familiar with building and deploying models in production (basic MLOps knowledge). ● Comfortable with NLP and computer vision, and interested in applying LLMs to real-world use cases. ● Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders. Technical Skills ● Languages & Tools: Python, PySpark, SQL ● ML Techniques: Regression, Classification, Clustering, Decision Trees, Random Forests, XGBoost, SVM ● LLM Tech: Familiarity with tools like OpenAI, Hugging Face, LangChain, and prompt engineering ● Data Infrastructure: ETL tools, Postgres, BigQuery/Snowflake, S3/GCP ● Statistical Analysis: A/B testing, experiment design, causal inference

About Us At NexusLink Services , we are passionate about building intelligent, scalable solutions that drive real-world impact. As we expand our AI/ML capabilities, we’re looking for a Generative AI-focused Data Scientist to join our innovative and rapidly growing team. Role Overview We are seeking an experienced Data Scientist with 4-6 years of hands-on experience and deep expertise in Generative AI to design and implement cutting-edge models that address real business challenges. You will work with LLMs, GANs, RAG frameworks , and transformer-based architectures to build scalable, production-ready solutions across industries. Key Responsibilities Design, develop, and fine-tune Generative AI models (LLMs, GANs, Diffusion models, etc.) Work on RAG (Retrieval-Augmented Generation) and transformer-based architectures Customize and fine-tune LLMs for domain-specific use cases Build and manage robust ML pipelines for training, evaluation, and deployment Collaborate with engineering teams to integrate models into real-world applications Stay updated with the latest GenAI research, tools, and trends Analyze model outputs, monitor performance, and ensure responsible AI use Required Skills 4-6 years of experience in data science or machine learning roles Strong Python skills with experience in ML/DL libraries: TensorFlow, PyTorch, HuggingFace Transformers Deep understanding of LLMs, GANs, RAG, Autoencoders , etc. Experience with LoRA, PEFT , or similar fine-tuning techniques Familiarity with Vector Databases (FAISS, Pinecone) and embeddings Expertise in data preprocessing, synthetic data generation Solid knowledge of NLP, prompt engineering , and language model safety Hands-on experience with model deployment, APIs , and cloud platforms (AWS/GCP/Azure) Nice to Have Experience with Chatbots, Conversational AI , or AI Assistants Familiarity with LangChain, LLMOps , or serverless model deployment Background in MLOps, Docker/Kubernetes , and CI/CD pipelines Exposure to OpenAI, Anthropic, Google Gemini , or Meta LLaMA

🚀 AI/ML Engineer – Full-time Role Location: Mumbai (Hybrid)/ Remote Company: Fin 100X.AI – India’s Protocol-Governed AI Financial OS 🏢 Company Description Fin 100X.AI is India’s first protocol-governed, AI-powered financial operating system designed for Bharat’s 100 crore underserved citizens. We are on a mission to unlock financial dignity, security, and freedom using real-time intelligent systems — built with explainable AI, regulatory compliance (RBI, SEBI, IRDAI), and multilingual accessibility. We are backed by IIT Bombay alumni and visionary fintech leaders, building at the intersection of AI agents, trust, and financial inclusion. 🎯 Role Overview We are hiring an AI/ML Engineer to join our core tech team in Mumbai (Hybrid). This role will focus on designing, developing, and deploying intelligent AI flows across real-world modules like Credit Booster, SIP Planner, and Fraud Shield. You’ll collaborate with cross-functional teams to integrate LLMs, RAG pipelines, and neural architectures into a production-grade, protocol-governed financial platform for Bharat. 🧠 Key Responsibilities Design & deploy ML/LLM models, pipelines, and agent workflows Build real-time explainable AI logic for core financial modules Implement vector-based memory and retrieval systems (e.g., Pinecone, FAISS) Integrate APIs with OpenAI, Gemini, HuggingFace, etc. Collaborate with frontend/backend teams to productionize models Monitor performance, tune models, and ensure robustness ✅ Qualifications Strong foundation in Machine Learning, Deep Learning, and LLMs Proficient in Python (TensorFlow, PyTorch, HuggingFace, FastAPI) Experience with vector DBs (Pinecone, ChromaDB) and RAG pipelines Hands-on with tools like LangChain, AutoGen, CrewAI, or Ollama Understanding of statistics, model evaluation, and fallback logic Excellent problem-solving and critical thinking skills Prior exposure to FinTech, NLP, or AI governance is a plus Comfortable in a startup + hybrid work culture 🏆 Perks Work with IIT Bombay alumni & cutting-edge AI stack Shape India’s AI Financial OS from Day 0 Get showcased at Global FinTech Fest 2025 PPO potential, ESOP track, and national-scale impact

About Birlasoft: Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CKA Birla Group, a multibillion-dollar enterprise, we boast a 12,500+ professional team committed to upholding the Group's 162-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose. About the Job - We are looking for an experienced technical lead to implement an enterprise-grade conversational AI interface leveraging technologies like NodeJS, Python, LangChain, Azure OpenAI and Azure Cognitive Services. Job Title - GenAI App Tech Lead – Azure OpenAI & Azure Cognitive Search Location: Pune/Noida Educational Background: Bachelor’s degree in computer science, Information Technology, or related field. Mode of Work- Hybrid Experience Required - 6+ years in core Application Development Job Description : Responsibilities: • Implement conversational AI application using NodeJS,Azure OpenAI and Python • Integrate various AI technologies like OpenAI models, LangChain, Azure Cognitive Services (Cogniitve Search, Indexes,Indexers and APIS etc) to enable sophisticated natural language capabilities • Implementation of private endpoints across the Azure services leveraged for the application • Implement schemas, APIs, frameworks and platforms to operationalize AI models and connect them to conversational interfaces • Implement app logic for conversation workflows, context handling, personalized recommendations, sentiment analysis etc. • Build and deploy the production application on Azure while meeting security, reliability, and compliance standards • Create tools and systems for annotating training data, monitoring model performance, and continuously improving the application • Mentor developers and provide training on conversational AI development best practices • Build and productionize vector databases for the application on Azure cloud Key Responsibilities: • 6-8 years of overall technology experience in core application development • 2+ years experience leading development of AI apps and conversational interfaces • Hands-on implementation centric knowledge of generative AI tools on Azure cloud • Deep,hands-on and development proficiency in Python and NodeJS • Hands-on expertise of SharePoint indexes and data/file structures (Azure SQL) • Hands-on knowledge of Azure Form Recognizer tools • Experience with LangChain, Azure OpenAI and Azure Cognitive Search • Retrieval Augmented Generation (RAG) and RLHF (Reinforcement Learning from Human Feedback) using Python • Vector databases on Azure cloud using PostgreSQL • Pinecone,FAISS,Weaviate or ChromaDB • Prompt Engineering using LangChain or Llama Index • Knowledge of NLP techniques like transformer networks, embeddings, intent recognition etc. • Hands-on skills on Embedding and finetuning Azure OpenAI using MLOPS/LLMOPS pipelines • Good to have - Strong communication, DevOps, and collaboration skills

We are seeking a versatile Full Stack Developer to join our dynamic EdTech team at eduCOBOT. Your primary responsibility will be to build, scale, and maintain an AI-powered, hardware-integrated learning platform focused on robotics, IoT, and STEM education. This platform is similar to Innov8r.ai but with a specific emphasis on the mentioned areas. As a Full Stack Developer in our team, you will play a cross-functional role that involves frontend development, backend engineering, AI integration, and microcontroller interfacing using Arduino/ESP32. Your key responsibilities will include developing responsive UIs with React.js or Next.js, managing backend APIs using Node.js + Express, integrating AI tools for agentic learning experiences, connecting web interface with hardware components for interactive robotics modules, handling databases, implementing OAuth, dashboards, gamified learning paths, and managing CI/CD pipelines and cloud deployments. To excel in this role, you should be familiar with technologies such as React.js, Next.js, Node.js, Express, PostgreSQL, MongoDB, Arduino IDE, ESP32, OpenAI, LangChain, among others. Experience in building dynamic web platforms, familiarity with agentic AI concepts, strong problem-solving skills, and prior exposure to robotics, sensors, IoT, or educational products are highly desirable. Additionally, your willingness to work in a fast-paced, impact-first startup environment is crucial. Joining eduCOBOT offers you the opportunity to be part of India's leading AI-driven STEM learning platform, contribute to tools used by students and educators, and work on live AI + Robotics integrations that power real-world learning. You will also benefit from a flat team structure, high ownership, and mission-driven growth. If you are ready to take on this exciting challenge, please send your CV and any work samples (GitHub, website, etc.) to admin@educobot.com.,

Role: Account executive(Inbound Sales)- B2B SaaS Location: Remote Experience: 3+ years About Us: Fireflies.ai is the leading AI teammate for meetings, trusted by over 20 million users across 500,000+ organizations, ranging from fast-growing startups to Fortune 500 enterprises. We’re revolutionizing team collaboration by automating knowledge capture and repetitive tasks, enhancing productivity across industries like sales, project management, marketing, operations, and product development. With a valuation exceeding $1 billion, Fireflies is recognized as a category-defining platform and was named the 6th most popular AI platform by Ramp, joining the ranks of OpenAI and Midjourney. We’re building a world-class, global-first team and we believe in fostering diversity and innovation. Join us as we shape the future of work! Role Overview: As an Account Executive at Fireflies.ai, you will be responsible for managing the full sales cycle—from engaging inbound leads to closing deals. You’ll also play a crucial role in onboarding new clients, ensuring they have a seamless experience with our platform. This role requires a proactive, target-driven sales professional with excellent communication skills, strong ownership, and the ability to thrive in a remote-first environment. Key Responsibilities: Prospect Conversion: Engage with inbound leads to understand their needs, deliver tailored demos, and convert prospects into paying customers. Build strong relationships and position Fireflies’ value proposition effectively. Full Sales Cycle Management: Own the entire sales process, from lead qualification and product demos to proposal creation and deal closure. Target Achievement: Meet or exceed sales targets, focusing on demo-to-win rates and deal closure timelines. Customer Onboarding: Lead new customer onboarding, ensuring a smooth transition and proper setup to maximize product adoption. Be the first point of contact for new customers, addressing initial queries and troubleshooting issues. Cross-Functional Collaboration: Work closely with engineering, customer success, and product teams to resolve onboarding challenges and implement customer feedback. Qualifications: 4-8 years of experience in B2B sales, preferably with enterprise clients. Proven track record of exceeding sales targets in a fast-paced, target-driven environment. Exceptional verbal and written communication skills, with the ability to build trust and rapport with diverse clients. Strong organizational skills, with the ability to manage multiple sales opportunities and onboarding tasks simultaneously. Proficiency with tools like HubSpot, Salesforce, Slack, Stripe, and Google Suite . A self-starter who thrives in a fully remote environment, with high ownership and accountability. Flexible to work in PST/EST time zones. Core Values: Strong communicator who values overcommunication and candid feedback. Data-driven, customer-focused, and committed to continuous improvement. Embrace fast, incremental engineering cycles with a focus on design excellence and minimizing complexity. Take initiative, hold yourself accountable, and strive for 10% improvement each week. Perks & Benefits: Competitive compensation Remote-first, with flexibility to work from anywhere Opportunities for lateral growth and career advancement Paid time off and flexible leave policy A "no boss" culture that empowers ownership and autonomy Flexible working hours to suit your lifestyle LGBTQ+ friendly workplace International offsite opportunities to connect and recharge Tech reimbursements to support your work

🚀 We're Hiring Full Stack Web Developers 📍 Remote (prefer time zone overlap with Australia/India) 🕒 Full-time - Contract Role | Early-Stage Startup 👥 Team: 7Ronin at Unplex Me Company Description At Unplex Me , we’re reimagining e-Learning and how knowedge workers acquire and use knowledge to solve real world problems. We are building a groundbreaking platform where visual thinking and problem-solving converge with Generative AI. Our platform equips individuals and organizations with skills in visual thinking, collaboration, creativity, and deep work tailored for the Gen AI era. Our new platform is in private beta, and we want passionate developers to join our team to take us to the next levels of success. Role Description This is a contract-based, remote role for a Full Stack Web Developer. We are looking for developers who have experience and are passionate about building interactive experiences. This role will be responsible for both front-end and back-end development tasks and will leverage a variety of cloud native platforms and tools to create AI-Native application experiences. The individual will work on developing, testing, and deploying new website features, ensuring scalability and performance. Daily tasks will include programming, coding, and implementing web design practices to create a seamless user experience. Any experience working on mobile and touch-enabled devices would be viewed favourably. Qualifications 2+ years experience building modern web apps (personal or professional) Strong React/JavaScript/HTML/CSS skills Strong NextJS/NodeJS, MongoDB Skills Python, FastAPI experience will be useful Any experience building AI Apps, LangChain, LangGraph, OpenAI API, CrewAI etc. will be advantageous Experience with responsive and touch-first designs will be considered favourably Overall, you need to be proficient in Full Stack Web Development You should be comfortable learning fast, shipping often, and jumping between layers of the stack Bonus: experience with canvas UIs, animations, or gamified interfaces Strong problem-solving skills and ability to think creatively Bonus: worked in a startup or self-taught/self-motivated learning journey Why Join Us ✨ Build category-defining AI software that fuses visual thinking + gamified learning experiences ✨ Get true ownership of features ✨ Small team, fast feedback loops, big learning curve ✨ Contribute to a mission that helps other builders and founders thrive

202505106 Gurugram, Haryana, India Bevorzugt Description The Role: Integrate with internal/external LLM APIs (e.g., OpenAI, Azure OpenAI), including prompt engineering and pre/post-processing as required. Build and maintain data analysis workflows using Pandas for data transformation and insight delivery. Develop RESTful APIs using FastAPI or Flask for data and document management. Design and implement clean, efficient, and modular Python codebases for backend services, data pipelines, and document processing workflows. Support the team in onboarding new data sources, integrating with Azure services, and ensuring smooth cloud deployments. Collaborate with product, data science, and engineering teams to translate business requirements into technical solutions. Write unit tests and contribute to CI/CD pipelines for robust, production-ready code. Stay up to date with advances in Python, LLM, and cloud technologies. Qualifications Qualifications: Bachelor’s or master’s in computer science, Engineering, or related quantitative discipline. Experience: 6 to 9 years of hands-on experience in data engineering or backend development with Python. Technical Competencies: Exposure to LLM integration (prompt design, API integration, handling text data). Strong experience in Python with focus on data analysis (Pandas) and scripting. Hands-on experience in building REST APIs (FastAPI or Flask). Experience in developing data pipelines, data cleaning, and transformation. Working knowledge of Azure cloud services (Azure Functions, Blob Storage, App Service, etc.) (Nice to have) Experience integrating MongoDB with Python for data storage, modelling, or reporting.

Senior Product Manager Bangalore, Karnataka, India Date posted Jul 25, 2025 Job number 1849947 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Product Management Discipline Product Management Employment type Full-Time Overview Microsoft 365 Copilot harnesses the power of generative AI through foundational large language models to usher in a new era of AI-first productivity for hundreds of millions of enterprise users. As business workflows don't typically run exclusively on Microsoft 365 applications and data formats, Copilot is built as a platform right from the very beginning. Using extensibility, customers augment M365 Copilot with AI agents – which leverage custom skills, organizational-specific knowledge and natural language instructions to enable truly spectacular AI scenarios and power connected workflows. M365 Copilot Platform Ecosystem team is designing and building innovative AI agents on the M365 Copilot platform, including agent templates for makers as well as more bespoke solutions with leading customers. As a Product Manager in the team, you will drive the next wave of agents built using the latest generative AI technology on M365 Copilot’s extensible platform. Working across our engineering teams and with our most strategic customers and partners, you will deliver high-quality, sticky and transformative Copilot agents for use by millions of end-users. This engineering PM role is an excellent opportunity to don both scenario and experience-focused product PM as well as an external-facing solutions PM (Ecosystem PM) hats – at the same time! We are looking for self-motivated, entrepreneurial, hands-on technical and outcome-drive Senior Product Manager candidates who can operate in a fast-paced environment – predicated by rapid change and opportunities birthed out of ambiguity. You will frequently influence internal and customer stakeholders without authority, perform rapid exploration, bring your high sense of ownership and bias for execution to own and drive the vision, strategy and product roadmap for multiple customer and partner-built agents with a responsibility for partner and customer impact, developer experience, adoption growth strategy and business impact/ROI to support the next wave of growth for Copilot agents. You will have a direct role in pushing the latest AI frontiers, including autonomous agents, agentic AI systems, deep research and reasoning, multi-agent frameworks, complex data reasoning, model fine-tuning and agentic UX. The ideal candidate for this role is an experienced "builder" who advocates for generative AI-led transformation. They should be an "agent boss," meaning they regularly utilize generative AI and agents in their daily activities. The candidate should possess a "learn-it-all" mindset rather than a "know-it-all" attitude, and be comfortable navigating the uncertainties associated with transformative, time-sensitive, ROI-driven engagements with customers aiming to become Frontier Firms. This individual must adopt both business- and user-centric approaches to setting objectives, conducting executive-level discussions, aligning stakeholders, managing escalations, planning product roadmaps, and scheduling engagement timelines. They will lead the technical solution development, collaborating with internal M365 Copilot platform engineering teams as well as customers and developers working on our platform. Hands on experience with tools like Replit, Cursor, LangChain, LllamaIndex, OpenAI APIs, Auto-GPT, Hugging Face Transformers, GitHub Copilot, Lovable, Claude, etc. is a must. This must be demonstrated using real examples of rapid solution prototyping. We operate in a fast-paced environment with rapid exploration, iteration, and execution, as we develop the M365 Copilot extensibility platform to transform how people and companies work using generative AI. Your peers will be among the top professionals in the industry, sharing a strong focus on customer and partner success. This role involves interacting with partners and customers, and occasional travel within and outside the base location is expected. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree AND 8+ years' experience in product/service/project/program management or software development OR equivalent experience. Previous experience with proven success in working on customer-facing technical engagements. Previous experience working in the generative AI domain, strong familiarity with AI fundamentals, LLMs, RAG, GPTs, AI agents, AI cloud services architecture etc. Hands on experience with tools like Replit, Cursor, LangChain, LllamaIndex, OpenAI APIs, Auto-GPT, Hugging Face Transformers, GitHub Copilot, Lovable, Claude, etc. is a must. Solid executive presence and ability to think analytically and creatively on your feet The ability to wear many hats and speak many language – from business to product to design to technical – learn quickly and change direction when needed. Experience presenting to senior executives, technical product/IT/BDM staff and end users; able to pivot quickly and adapt messaging to suit audience technical levels and ROI/value requirements. Demonstrated ability of very strong product thinking, technical solutioning, continuous tech upskilling and growth mindset. The ability to think creatively and critically about product features, user journeys and scenarios in the enterprise workflows space. Self-organized, strong project management, growth hacking, leadership and cross-group collaboration skills. Innate curiosity and ability to self-start in an ambiguous, highly autonomous and rapidly changing, new domain with evolving product, technology and customer maturity. Excellent written and verbal communication/presentation skills through all levels of the organization, technical and non-technical. Good problem-solving skills and ability to think strategically on the feet. Ability to hold technical discussions, go deep in technical areas, when required especially in domains of generative AI, LLM technology. Proven ability to build data-driven product experiences, define metrics and use analytics to derive insights to arrive at product & growth decisions. Preferred Qualifications: 10+ years of product management experience with proven success in working with enterprise developer partners & customers. Recent experience building and prototyping generative AI-based solutions (RAG, GPT, LLM) and general awareness of the rapidly-evolving AI, especially generative AI landscape. Hands-on expertise with AI agents as a “builder” using low-code/no-code or pro-code tools or technical stacks. Hands-on experience or solid familiarity with the Microsoft technology stack is preferred (M365 Copilot extensibility, AI agents, Azure OpenAI, Azure AI Foundry, Graph Connectors, Microsoft Teams extensibility platform, etc.). #DPG Responsibilities Work with product managers, developers, UX designers from our most strategic customers across C-suite, architects and developers. Explore the customer problem space and key requirements, pitch the potential of generative AI agents to transform business processes, lead envisioning and UX/technical design through with developers to build, ship and adopt Copilot agents into production. Build POC prototypes to bring customers’ vision to life. Serve as a key subject matter expert on M365 Copilot/Azure AI Foundry/Microsoft AI platform and agent capabilities, architecture; collaborate closely with peers, external partners and customers to train, advise and guide on technical capabilities, solution design and AI platform strategy. Drive key product insights and developer ecosystem signals coming straight from the market to shape the future of the M365 Copilot, help drive backlog prioritization, envisioning and spec’ing of new, innovative extensibility features and our AI extensibility stack inside Microsoft 365 Copilot app, Teams, Outlook, Word, PowerPoint, Excel, Windows and other host products. Get exposure to 100s of diverse scenarios working alongside customers & partners using M365 Copilot (Microsoft's biggest bet since 'a PC on every desk') - basically never get bored since no two solutions are alike! Work directly with your feature crew colleagues across M365 Copilot platform engineering to design and deliver innovative extensibility features, including technical envisioning for how Copilot agents will work and interact with other services and applications. Determine adoption strategy for the Copilot agents shipped, unblock adoption, deployment and engagement to realize end-user and business value or ROI among target strategic customers. Develop and drive strategic initiatives to enable “hockey stick” ecosystem growth based on emerging AI agent capabilities, industry trends and strategic partnerships. Research, contextualize and evangelize frontier solutions, technology trends and opportunities to drive longer-term investments and product shifts. Cover multiple regions in the Eastern Hemisphere and work with peer product teams in the Americas and Europe (occasional flexibility around work schedules is expected). Embody our culture and values. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Product Manager II Bangalore, Karnataka, India Date posted Jul 25, 2025 Job number 1849968 Work site Up to 50% work from home Travel 0-25 % Role type Individual Contributor Profession Product Management Discipline Product Management Employment type Full-Time Overview Microsoft 365 Copilot harnesses the power of generative AI through foundational large language models to usher in a new era of AI-first productivity for hundreds of millions of enterprise users. As business workflows don't typically run exclusively on Microsoft 365 applications and data formats, Copilot is built as a platform right from the very beginning. Using extensibility, customers augment M365 Copilot with AI agents – which leverage custom skills, organizational-specific knowledge and natural language instructions to enable truly spectacular AI scenarios and power connected workflows. M365 Copilot Platform Ecosystem team is designing and building innovative AI agents on the M365 Copilot platform, including agent templates for makers as well as more bespoke solutions with leading customers. As a Product Manager II in the team, you will drive the next wave of agents built using the latest generative AI technology on M365 Copilot’s extensible platform. Working across our engineering teams and with our most strategic customers and partners, you will deliver high-quality, sticky and transformative Copilot agents for use by millions of end-users. This engineering PM role is an excellent opportunity to don both scenario and experience-focused product PM as well as an external-facing solutions PM (Ecosystem PM) hats – at the same time! We are looking for self-motivated, entrepreneurial, hands-on technical and outcome-drive Product Manager candidates who can operate in a fast-paced environment – predicated by rapid change and opportunities birthed out of ambiguity. You will frequently influence internal and customer stakeholders without authority, perform rapid exploration, bring your high sense of ownership and bias for execution to own and drive the vision, strategy and product roadmap for multiple customer and partner-built agents with a responsibility for partner and customer impact, developer experience, adoption growth strategy and business impact/ROI to support the next wave of growth for Copilot agents. You will have a direct role in pushing the latest AI frontiers, including autonomous agents, agentic AI systems, deep research and reasoning, multi-agent frameworks, complex data reasoning, model fine-tuning and agentic UX. The ideal candidate for this role is an experienced "builder" who advocates for generative AI-led transformation. They should be an "agent boss," meaning they regularly utilize generative AI and agents in their daily activities. The candidate should possess a "learn-it-all" mindset rather than a "know-it-all" attitude, and be comfortable navigating the uncertainties associated with transformative, time-sensitive, ROI-driven engagements with customers aiming to become Frontier Firms. This individual must adopt both business- and user-centric approaches to setting objectives, conducting executive-level discussions, aligning stakeholders, managing escalations, planning product roadmaps, and scheduling engagement timelines. They will lead the technical solution development, collaborating with internal M365 Copilot platform engineering teams as well as customers and developers working on our platform. Hands on experience with tools like Replit, Cursor, LangChain, LllamaIndex, OpenAI APIs, Auto-GPT, Hugging Face Transformers, GitHub Copilot, Lovable, Claude, etc. is a must. This must be demonstrated using real examples of rapid solution prototyping. We operate in a fast-paced environment with rapid exploration, iteration, and execution, as we develop the M365 Copilot extensibility platform to transform how people and companies work using generative AI. Your peers will be among the top professionals in the industry, sharing a strong focus on customer and partner success. This role involves interacting with partners and customers, and occasional travel within and outside the base location is expected. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications: Bachelor's Degree AND 5+ years experience in product/service/project/program management or software development OR equivalent experience. Previous experience with proven success in working on customer-facing technical engagements. Previous experience working in the generative AI domain, strong familiarity with AI fundamentals, LLMs, RAG, GPTs, AI agents, AI cloud services architecture etc. Hands on experience with tools like Replit, Cursor, LangChain, LllamaIndex, OpenAI APIs, Auto-GPT, Hugging Face Transformers, GitHub Copilot, Lovable, Claude, etc. is a must. Solid executive presence and ability to think analytically and creatively on your feet. The ability to wear many hats and speak many language – from business to product to design to technical – learn quickly and change direction when needed. Experience presenting to senior executives, technical product/IT/BDM staff and end users; able to pivot quickly and adapt messaging to suit audience technical levels and ROI/value requirements. Demonstrated ability of very strong product thinking, technical solutioning, continuous tech upskilling and growth mindset. The ability to think creatively and critically about product features, user journeys and scenarios in the enterprise workflows space. Self-organized, strong project management, growth hacking, leadership and cross-group collaboration skills. Innate curiosity and ability to self-start in an ambiguous, highly autonomous and rapidly changing, new domain with evolving product, technology and customer maturity. Excellent written and verbal communication/presentation skills through all levels of the organization, technical and non-technical. Good problem-solving skills and ability to think strategically on the feet. Ability to hold technical discussions, go deep in technical areas, when required especially in domains of generative AI, LLM technology. Proven ability to build data-driven product experiences, define metrics and use analytics to derive insights to arrive at product & growth decisions. Preferred Qualifications: 8+ years of product management experience with proven success in working with enterprise developer partners & customers. Recent experience building and prototyping generative AI-based solutions (RAG, GPT, LLM) and general awareness of the rapidly-evolving AI, especially generative AI landscape. Hands-on expertise with AI agents as a “builder” using low-code/no-code or pro-code tools or technical stacks. Hands-on experience or solid familiarity with the Microsoft technology stack is preferred (M365 Copilot extensibility, AI agents, Azure OpenAI, Azure AI Foundry, Graph Connectors, Microsoft Teams extensibility platform, etc.). #DPG Responsibilities Work with product managers, developers, UX designers from our most strategic customers across C-suite, architects and developers. Explore the customer problem space and key requirements, pitch the potential of generative AI agents to transform business processes, lead envisioning and UX/technical design through with developers to build, ship and adopt Copilot agents into production. Build POC prototypes to bring customers’ vision to life. Serve as a key subject matter expert on M365 Copilot/Azure AI Foundry/Microsoft AI platform and agent capabilities, architecture; collaborate closely with peers, external partners and customers to train, advise and guide on technical capabilities, solution design and AI platform strategy. Drive key product insights and developer ecosystem signals coming straight from the market to shape the future of the M365 Copilot, help drive backlog prioritization, envisioning and spec’ing of new, innovative extensibility features and our AI extensibility stack inside Microsoft 365 Copilot app, Teams, Outlook, Word, PowerPoint, Excel, Windows and other host products Get exposure to 100s of diverse scenarios working alongside customers & partners using M365 Copilot (Microsoft's biggest bet since 'a PC on every desk') - basically never get bored since no two solutions are alike! Work directly with your feature crew colleagues across M365 Copilot platform engineering to design and deliver innovative extensibility features, including technical envisioning for how Copilot agents will work and interact with other services and applications. Determine adoption strategy for the Copilot agents shipped, unblock adoption, deployment and engagement to realize end-user and business value or ROI among target strategic customers. Develop and drive strategic initiatives to enable “hockey stick” ecosystem growth based on emerging AI agent capabilities, industry trends and strategic partnerships. Research, contextualize and evangelize frontier solutions, technology trends and opportunities to drive longer-term investments and product shifts. Cover multiple regions in the Eastern Hemisphere and work with peer product teams in the Americas and Europe (occasional flexibility around work schedules is expected). Embody our culture and values. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Experience Required 610+ years in AI/ML development, with 3+ years of hands-on experience in Generative AI, RAG frameworks, and Agentic AI systems. Job Summary We are seeking highly skilled Generative AI Engineers to join a dynamic team focused on building enterprise-grade, production-ready AI systems using RAG and Agentic AI paradigms. The ideal candidates will have hands-on experience developing and fine-tuning LLM-based applications, integrating feedback loops, and implementing safeguards in regulated or complex business environments. Key Responsibilities Design, develop, and optimize RAG pipelines using frameworks such as LangChain, LlamaIndex, or custom built stacks. Implement Agentic AI architectures involving task-based agents, stateful memory, planning-execution workflows, and tool augmentation. Perform model fine-tuning, embedding generation, and evaluation of LLM outputs; incorporate human and automated feedback loops. Build and enforce guardrails to ensure safe, compliant, and robust model behaviorincluding prompt validation, output moderation, and access controls. Collaborate with cross-functional teams to deploy solutions in cloud-native environments such as Azure OpenAI, AWS Bedrock, or Google Vertex AI. Contribute to system observability via dashboards and logging, and support post-deployment model monitoring and optimization. Required Qualifications Proven production experience with RAG frameworks like LangChain, LlamaIndex, or custom-built solutions Solid understanding of Agentic AI design patterns: task agents, memory/state tracking, and orchestration logic Strong expertise in LLM fine-tuning, vector embeddings, evaluation strategies, and feedback integration Experience with implementing AI guardrails (e.g., moderation, filtering, prompt validation) Proficiency in Python, LLM APIs (OpenAI, Anthropic, Cohere, etc.), and vector database integration Familiarity with CI/CD pipelines, API integrations, and cloud-native deployment patterns Preferred Qualifications Experience working on AI projects in regulated environments (Banking domain) Hands-on experience with cloud AI platforms : Azure OpenAI, AWS Bedrock, or Google Vertex AI Knowledge of prompt engineering, RLHF, and LLM observability frameworks Experience building or leveraging internal LLM evaluation harnesses, agent orchestration layers, or compliance dashboards (ref:hirist.tech)

We're seeking an experienced Ruby on Rails Developer with strong React skills to join our growing remote team. Youll work on a modern, Dockerized application stack deployed on VPS servers and contribute to the development, testing, and deployment of scalable web applications. This role demands hands-on experience with React alongside Rails, and a strong understanding of building dynamic, full-stack applications. Key Responsibilities Develop and maintain web applications using Ruby on Rails. Build responsive, dynamic front-end features using React (mandatory) along with HTML-based templates (ERB) and Stimulus JS. Ensure quality through system test suites using Capybara, Selenium, and Minitest. Collaborate with the team in a month-long sprint cadence, managed via Notion. Manage version control and conduct code reviews on GitHub. Utilize AWS services including S3, SQS, and CloudWatch. Participate in architecture decisions, performance optimization, and security best practices. Work in a Dockerized local development environment. Troubleshoot, debug, and upgrade existing Environment : VPS Servers (Ubuntu 20) with Nginx. React. PostgreSQL. Ruby on Rails 6. StimulusJS. Capybara, Selenium, Minitest. AWS (S3, SQS, CloudWatch). GitHub, Notion. OpenAI integrations (as : 2-5 years of experience in full-stack web development. Mandatory : Hands-on experience building SPAs and dynamic UIs using React. Strong knowledge of PostgreSQL and general web application architecture. Experience with Ruby on Rails (6.1 preferred). Familiarity with HTML, JavaScript (StimulusJS), and ERB. Experience working in Dockerized development environments. Proficiency in writing and maintaining test suites (Capybara, Minitest, Selenium). Agile team experience using tools like Notion or Jira. Exposure to cloud infrastructure, preferably AWS (S3, SQS, CloudWatch). Excellent communication skills and ability to work in a remote, collaborative environment. Should be available to start & Benefits : Competitive salary. Collaborative and inclusive team culture. Continuous learning and skill development. Opportunity to work on real-world AI integrations and scalable systems. (ref:hirist.tech)

Auxiliobits is a global consulting and AI services firm that specializes in delivering transformative automation solutions across various industries. With a presence in India, Dubai, and the US, we focus on HyperAutomation, Agentic AI, and Intelligent Process Automation, leveraging advanced technologies such as UiPath, LLMs, Autonomous Agents, and cloud-native deployments. We are currently looking for a Senior RPA + Agentic AI Developer to take the lead in developing and deploying next-gen automation solutions. The ideal candidate should possess solid expertise in UiPath development and have hands-on experience or a keen interest in Agentic AI frameworks like LangChain, ReAct, or UiPath's Agentic features. In this role, you will collaborate closely with cross-functional teams to deliver automation systems that go beyond being rule-based to being reasoning- and context-aware. Key Responsibilities: - Design, build, and deploy scalable RPA solutions using UiPath and modern automation frameworks. - Develop and integrate Agentic AI components, such as ReAct-style agents, LLM orchestration, and autonomous workflows. - Utilize APIs, cloud services, and enterprise data to facilitate AI-powered decision-making and process execution. - Identify automation opportunities blending RPA and AI in collaboration with Process Owners and Business Analysts. - Implement document understanding, NLP models, and AI-based classification in end-to-end workflows. - Create reusable components, libraries, and utilities to expedite delivery. - Ensure adherence to security, scalability, and auditability standards. Required Qualifications: - Minimum 5 years of experience in RPA development, with at least 3 years focusing on UiPath (REFramework, Queues, Orchestrator, etc.). - Preferably possess the UiPath Advanced Developer Certification. - Proficiency in .NET, VB, Python, or similar programming languages. - Experience in integrating REST/SOAP APIs, working with databases, and handling structured/unstructured data. - Familiarity with LLMs, prompt engineering, LangChain, OpenAI, or similar AI tools. - Hands-on exposure to ReAct agents, retrieval-augmented generation (RAG), or agent orchestration concepts. - Strong problem-solving skills and the ability to work independently in a fast-paced environment. Good to Have: - Experience in Agentic Process Automation or multi-agent architectures. - Knowledge of cloud services like Azure, AWS, GCP, and deploying AI/RPA workloads on the cloud. - Domain expertise in finance, healthcare, logistics, or procurement. - Familiarity with platforms such as UiPath Apps, Action Center, and AI Center. Perks & Benefits: - Opportunity to work with cutting-edge automation and AI technologies. - Collaboration with a high-performance team and global clients. - Exposure to enterprise-grade deployments and innovation projects. - Career advancement prospects in an AI-first automation company.,

AI DEVELOPER LLM Can Work 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 Description : 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 EXPERIENCE : 12 years of experience in AI/ML development with specific focus on NLP and LLM-based 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 : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related 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)

About The Role We are seeking a highly motivated and creative Platform Engineer with a true research mindset. This is a unique opportunity to move beyond traditional development and step into a role where you will ideate, prototype, and build production-grade applications powered by Generative AI. You will be a core member of a platform team, responsible for developing both internal and customer-facing solutions that are not just functional but intelligent. If you are passionate about the MERN stack, Python, and the limitless possibilities of Large Language Models (LLMs), and you thrive on building things from the ground up, this role is for you. Core Responsibilities - Full-Stack Engineering : Write clean, scalable, and robust code across the MERN stack (MongoDB, Express.js, React, Node.js) and Python. AI-Powered Product Development : Create and enhance key products such as : Intelligent chatbots for customer service and internal support. Automated quality analysis and call auditing systems using LLMs for transcription and sentiment analysis. AI-driven internal portals and dashboards to surface insights and streamline workflows. Gen AI Integration & Optimization : Work hands-on with foundation LLMs, fine-tuning custom models, and implementing advanced prompting techniques (zero-shot, few-shot) to solve specific business problems. Research & Prototyping : Explore and implement cutting-edge AI techniques, including setting up systems for offline LLM inference to ensure privacy and performance. Collaboration : Partner closely with product managers, designers, and business stakeholders to transform ideas into tangible, high-impact technical solutions. Required Skills & Experience Experience : 2-5 years of professional experience in a software engineering role. Full-Stack Proficiency : Strong command of the MERN stack (MongoDB, Express.js, React, Node.js) for building modern web applications. Python Expertise : Solid programming skills in Python, especially for backend services and AI/ML workloads. Generative AI & LLM Experience (Must-Have) Demonstrable experience integrating with foundation LLMs (e.g., OpenAI API, Llama, Mistral, etc.). Hands-on experience building complex AI systems and implementing architectures such as Retrieval-Augmented Generation (RAG) to ground models with external knowledge. Practical experience with AI application frameworks like LangChain and LangGraph to create agentic, multi-step workflows. Deep understanding of prompt engineering techniques (zero-shot, few-shot prompting). Experience or strong theoretical understanding of fine-tuning custom models for specific domains. Familiarity with concepts or practical experience in deploying LLMs for offline inference. R&D Mindset : A natural curiosity and passion for learning, experimenting with new technologies, and solving problems in novel ways. Bonus Points (Nice-to-Haves) Cloud Knowledge : Hands-on experience with AWS services (e.g., EC2, S3, Lambda, SageMaker). (ref:hirist.tech)

Job Location : Noida Job Role : Sr. AI/ML/ Data Scientist Overview We are seeking a highly skilled and experienced AI/ML Expert to spearhead the design, development, and deployment of advanced artificial intelligence and machine learning models. This role requires a strategic thinker with a deep understanding of ML algorithms, model optimization, and production-level AI systems. You will guide cross-functional teams, mentor junior data scientists, and help shape the AI roadmap to drive innovation and business impact. This role involves statistical analysis, data modeling, and interpreting large sets of data. An AI/ML expert with experience in creating AI models for data intelligence companies who specializes in developing and deploying artificial intelligence and machine learning solutions tailored for data-driven businesses. This expert should possess a strong background in data analysis, statistics, programming, and machine learning algorithms, enabling them to design innovative AI models that can extract valuable insights and patterns from vast amounts of data. About The Role The design and development of a cutting-edge application powered by large language models (LLMs). This tool will provide market analysis and generate high-quality, data-driven periodic insights. You will play a critical role in building a scalable and intelligent system that integrates structured data, NLP capabilities, and domain-specific knowledge to produce analyst-grade content. Key Responsibilities Design and develop LLM-based systems for automated market analysis. Build data pipelines to ingest, clean, and structure data from multiple sources (e.g., market feeds, news articles, technical reports, internal datasets). Fine-tune or prompt-engineer LLMs (e.g., GPT-4.5, Llama, Mistral) to generate concise, insightful reports. Collaborate closely with domain experts to integrate industry-specific context and validation into model outputs. Implement robust evaluation metrics and monitoring systems to ensure quality, relevance, and accuracy of generated insights. Develop and maintain APIs and/or user interfaces to enable analysts or clients to interact with the LLM system. Stay up to date with advancements in the GenAI ecosystem and recommend relevant improvements or integrations. Participate in code reviews, experimentation pipelines, and collaborative research Required : Strong fundamentals in machine learning, deep learning, and natural language processing (NLP). Proficiency in Python, with hands-on experience using libraries such as NumPy, Pandas, and Matplotlib/Seaborn for data analysis and visualization. Experience developing applications using LLMs (both closedand open-source models). Familiarity with frameworks like Hugging Face Transformers, LangChain, LlamaIndex, etc. Experience building ML models (e.g., Random Forest, XGBoost, LightGBM, SVMs), along with familiarity in training and validating models. Practical understanding of deep learning frameworks: TensorFlow or PyTorch. Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), and LLM evaluation strategies. Experience working with REST APIs, data ingestion pipelines, and automation workflows. Strong analytical thinking, problem-solving skills, and the ability to convert complex technical work into business-relevant insights. Preferred Familiarity with the chemical or energy industry, or prior experience in market research/analyst workflows. Exposure to frameworks such as OpenAI Agentic SDK, CrewAI, AutoGen, SmolAgent, etc. Experience deploying ML/LLM solutions to production environments (Docker, CI/CD). Hands-on experience with vector databases such as FAISS, Weaviate, Pinecone, or ChromaDB. Experience with dashboarding tools and visualization libraries (e.g., Streamlit, Plotly, Dash, or Tableau). Exposure to cloud platforms (AWS, GCP, or Azure), including usage of GPU instances and model hosting services. About ChemAnalyst ChemAnalyst is a digital platform, which keeps a real-time eye on the chemicals and petrochemicals market fluctuations, thus, enabling its customers to make wise business decisions. With over 450 chemical products traded globally, we bring detailed market information and pricing data at your fingertips. Our real-time pricing and commentary updates enable users to stay acquainted with new commercial opportunities. Each day, we flash the major happenings around the globe in our news section. Our market analysis section takes it a step further, offering an in-depth evaluation of over 15 parameters including capacity, production, supply, demand gap, company share and among others. Our team of experts analyse the factors influencing the market and forecast the market data for up to the next 10 years. We are a trusted source of information for our international clients, ensuring user-friendly and customized deliveries on time. (ref:hirist.tech)

As an AI Automation Executive, you will play a crucial role in supporting the design, development, and implementation of AI-based automation solutions across various business processes. Your responsibilities will include identifying automation opportunities, creating AI workflows, and enhancing operations through the use of cutting-edge tools and platforms. You will be tasked with identifying business areas and repetitive processes that can benefit from AI-driven automation. By leveraging AI tools, APIs, and automation platforms such as Zapier, Make, UiPath, and Power Automate, you will design and implement automation workflows to streamline operations. Additionally, you will develop and maintain chatbots, AI assistants, and other AI-based solutions using tools like OpenAI and Dialogflow. Collaboration with internal teams will be essential as you gather requirements and translate them into automation projects. Monitoring, analyzing, and optimizing automated processes to ensure performance, accuracy, and reliability will also be part of your responsibilities. Upholding data security and compliance standards within automation workflows will be a key priority. To excel in this role, you should possess a Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Previous experience with AI tools, workflow automation platforms, or scripting languages like Python and JavaScript will be advantageous. Familiarity with tools such as OpenAI, ChatGPT, Zapier, Make (Integromat), and Power Automate is desirable. Strong problem-solving and analytical thinking skills will also be crucial for success. Staying updated with the latest trends and tools in AI, machine learning, and process automation will be necessary. Providing support and training to team members on new AI tools and systems, as well as documenting processes, workflows, and best practices for future reference, are key aspects of this role. This is a full-time position that requires in-person work. If you are a tech-savvy and innovative professional with a passion for AI automation, we encourage you to apply and be part of our dynamic team.,

About Aeris: For more than three decades, Aeris has been a trusted cellular IoT leader enabling the biggest IoT programs and opportunities across Automotive, Utilities and Energy, Fleet Management and Logistics, Medical Devices, and Manufacturing. Our IoT technology expertise serves a global ecosystem of 7,000 enterprise customers and 30 mobile network operator partners, and 80 million IoT devices across the world. Aeris powers today’s connected smart world with innovative technologies and borderless connectivity that simplify management, enhance security, optimize performance, and drive growth. Built from the ground up for IoT and road-tested at scale, Aeris IoT Services are based on the broadest technology stack in the industry, spanning connectivity up to vertical solutions. As veterans of the industry, we know that implementing an IoT solution can be complex, and we pride ourselves on making it simpler. Our company is in an enviable spot. We’re profitable, and both our bottom line and our global reach are growing rapidly. We’re playing in an exploding market where technology evolves daily and new IoT solutions and platforms are being created at a fast pace. A few things to know about us: We put our customers first . When making decisions, we always seek to do what is right for our customer first, our company second, our teams third, and individual selves last. We do things differently. As a pioneer in a highly competitive industry that is poised to reshape every sector of the global economy, we cannot fall back on old models. Rather, we must chart our own path and strive to out-innovate, out-learn, out-maneuver and out-pace the competition on the way. We walk the walk on diversity. We’re a brilliant and eclectic mix of ethnicities, religions, industry experiences, sexual orientations, generations and more – and that’s by design. We see diverse perspectives as a core competitive advantage. Integrity is essential. We believe in doing things well – and doing them right. Integrity is a core value here: you’ll see it embodied in our staff, our management approach and growing social impact work (we have a VP devoted to it). You’ll also see it embodied in the way we manage people and our HR issues: we expect employees and managers to deal with issues directly, immediately and with the utmost respect for each other and for the Company. We are owners. Strong managers enable and empower their teams to figure out how to solve problems. You will be no exception, and will have the ownership, accountability and autonomy needed to be truly creative. Job Title: Sr. SDET (Automation and GenAI), Automotive Experience: 5 to 8 Years Location: Gurgaon What You'll Do (Key Responsibilities): Automation Development: Design, build, and maintain scalable and efficient test automation frameworks and scripts for cloud-native applications. End-to-End Test Coverage: Implement and enhance automated tests for functional, performance, API, and security scenarios using tools like Playwright, Rest Assured, Postman, and JMeter. CI/CD Integration: Integrate test automation into CI/CD pipelines (e.g., Jenkins, GitLab CI/CD, Azure DevOps) to support rapid and reliable releases. Code Quality and Review: Contribute to clean, maintainable test code and participate in code reviews to uphold quality. Test Execution & Reporting: Participate in test planning, execution, and reporting. Ensure traceability and comprehensive coverage. Defect Analysis & Reporting: Log, track, and triage defects using tools like JIRA, Zephyr, or Xray. Use GenAI tools to assist with root cause analysis and defect predictions. GenAI Enablement: Use GenAI tools (e.g., ChatGPT, GitHub Copilot) to: Generate or refactor test cases from requirements Automate documentation and test optimization Identify potential risk areas through intelligent test coverage analysis Agile Collaboration: Collaborate with developers, product owners, and DevOps teams in Agile ceremonies and continuous delivery environments. Continuous Improvement: Contribute to testing process improvements and stay updated with modern testing and GenAI trends. What We're Looking For (Required Skills & Qualifications): Experience: 5 – 8 years in QA/Automation with 1 – 2 years in a senior role; cloud-native background preferred. Automation Expertise: Strong in Java, JavaScript, or Python for automation framework development. Proven skills in building scalable frameworks using tools like Rest Assured, Selenium, Playwright, Appium, and JMeter. GenAI Proficiency: Hands-on experience with GenAI tools (OpenAI, Gemini, Claude) for test automation, code generation, and analysis. Familiar with GitHub Copilot, ChatGPT, and similar AI-powered dev/test tools. Cloud & Microservices: Experience testing apps on AWS, Azure, or GCP in microservices-based architectures. CI/CD & DevOps: Proficient with Jenkins, GitLab CI/CD, Azure DevOps for automation pipeline integration. Testing Depth: Skilled in API testing (Postman, SoapUI), database validation (SQL/NoSQL), and broad testing methodologies. Strong grasp of functional, performance, security, and end-to- end testing practices. Soft Skills: Excellent problem-solving, analytical thinking, communication, and collaboration abilities. Bonus Points (Nice to Have): Automotive, Telematics, or IoT experience. Familiarity with real-time systems and event-driven architectures (Kafka, RabbitMQ). Monitoring/logging tools (eg Grafana). Performance tuning and system optimization for large-scale platforms. Why Join Us? High-Impact Work: Contribute to next-gen connected vehicle solutions used globally. Innovation-Driven: Operate at the edge of automotive, cloud, and Generative AI tech. Growth-Focused: Opportunities for advancement, leadership, and skill expansion. Diverse & Inclusive Culture: Join a team that celebrates diverse perspectives and inclusive collaboration. Collaborative Environment: Work with passionate, talented professionals solving real- world If you are a visionary SDET who thrives on technical challenges and is excited to shape the future of quality engineering with Generative AI in the connected vehicle space, we encourage you to apply! Aeris may conduct background checks to verify the information provided in your application and assess your suitability for the role. The scope and type of checks will comply with the applicable laws and regulations of the country where the position is based. Additional detail will be provided via the formal application process. Aeris walks the walk on diversity. We’re a brilliant mix of varying ethnicities, religions, cultures, sexual orientations, gender identities, ages and professional/personal/military experiences – and that’s by design. Diverse perspectives are essential to our culture, innovative process and competitive edge. Aeris is proud to be an equal opportunity employer.

About Aeris: For more than three decades, Aeris has been a trusted cellular IoT leader enabling the biggest IoT programs and opportunities across Automotive, Utilities and Energy, Fleet Management and Logistics, Medical Devices, and Manufacturing. Our IoT technology expertise serves a global ecosystem of 7,000 enterprise customers and 30 mobile network operator partners, and 80 million IoT devices across the world. Aeris powers today’s connected smart world with innovative technologies and borderless connectivity that simplify management, enhance security, optimize performance, and drive growth. Built from the ground up for IoT and road-tested at scale, Aeris IoT Services are based on the broadest technology stack in the industry, spanning connectivity up to vertical solutions. As veterans of the industry, we know that implementing an IoT solution can be complex, and we pride ourselves on making it simpler. Our company is in an enviable spot. We’re profitable, and both our bottom line and our global reach are growing rapidly. We’re playing in an exploding market where technology evolves daily and new IoT solutions and platforms are being created at a fast pace. A few things to know about us: We put our customers first . When making decisions, we always seek to do what is right for our customer first, our company second, our teams third, and individual selves last. We do things differently. As a pioneer in a highly competitive industry that is poised to reshape every sector of the global economy, we cannot fall back on old models. Rather, we must chart our own path and strive to out-innovate, out-learn, out-maneuver and out-pace the competition on the way. We walk the walk on diversity. We’re a brilliant and eclectic mix of ethnicities, religions, industry experiences, sexual orientations, generations and more – and that’s by design. We see diverse perspectives as a core competitive advantage. Integrity is essential. We believe in doing things well – and doing them right. Integrity is a core value here: you’ll see it embodied in our staff, our management approach and growing social impact work (we have a VP devoted to it). You’ll also see it embodied in the way we manage people and our HR issues: we expect employees and managers to deal with issues directly, immediately and with the utmost respect for each other and for the Company. We are owners. Strong managers enable and empower their teams to figure out how to solve problems. You will be no exception, and will have the ownership, accountability and autonomy needed to be truly creative. Job Title: Lead SDET (Automation and GenAI), Automotive Experience: 7 to 12 Years Location: Noida/Gurgaon What You'll Do (Key Responsibilities): Strategic Automation Leadership: Architect, design, and implement highly robust, scalable, and intelligent test automation frameworks for complex cloud-based services. Comprehensive Test Suite Development : Develop robust automated test coverage across functional, performance, security, and end-to-end layers using tools like Playwright, Rest Assured, JMeter, Postman, and Cucumber. Enforce Code Quality: Conduct code reviews to ensure high standards in both application and test automation code. Drive CI/CD Integration: Ensure seamless automation within CI/CD pipelines (Jenkins, GitLab CI/CD, Azure DevOps) for faster releases. Define Quality Strategy: Lead QA planning, execution, and reporting for safety-critical systems with a strong focus on coverage and traceability. Drive Defect Management: Oversee defect lifecycle with tools like JIRA, Zephyr, and Xray; use GenAI for faster triage and RCA. Champion GenAI Integration: Lead the identification, evaluation, and integration of Generative AI tools and techniques throughout the SDLC: Leverage GenAI for automated test case generation and optimization from requirements/specifications. Utilize GenAI for code generation and refactoring within automation frameworks and test scripts. Explore GenAI for predictive defect analysis, root cause suggestion, and anomaly detection Mentor & Innovate: Guide to junior engineers and promote AI-driven testing practices and continuous learning. Collaborate in Agile Teams: Work cross-functionally with Product, Dev, and DevOps to embed quality throughout the SDLC. What We're Looking For (Required Skills & Qualifications): Experience: 7–12 years in QA/Automation with 2 – 3 years in a lead/senior role; cloud-native background preferred. Automation Expertise: Strong in Java, JavaScript, or Python for automation framework development. Proven skills in building scalable frameworks using tools like Rest Assured, Selenium, Playwright, Appium, and JMeter. GenAI Proficiency: Hands-on experience with GenAI tools (OpenAI, Gemini, Claude) for test automation, code generation, and analysis. Familiar with GitHub Copilot, ChatGPT, and similar AI-powered dev/test tools. Cloud & Microservices: Experience testing apps on AWS, Azure, or GCP in microservices-based architectures. CI/CD & DevOps: Proficient with Jenkins, GitLab CI/CD, Azure DevOps for automation pipeline integration. Testing Depth: Skilled in API testing (Postman, SoapUI), database validation (SQL/NoSQL), and broad testing methodologies. Strong grasp of functional, performance, security, and end-to- end testing practices. Soft Skills: Excellent problem-solving, analytical thinking, communication, and collaboration abilities. Bonus Points (Nice to Have): Automotive, Telematics, or IoT experience. Familiarity with real-time systems and event-driven architectures (Kafka, RabbitMQ). Monitoring/logging tools (eg Grafana). Performance tuning and system optimization for large-scale platforms. Why Join Us? High-Impact Work: Contribute to next-gen connected vehicle solutions used globally. Innovation-Driven: Operate at the edge of automotive, cloud, and Generative AI tech. Growth-Focused: Opportunities for advancement, leadership, and skill expansion. Diverse & Inclusive Culture: Join a team that celebrates diverse perspectives and inclusive collaboration. Collaborative Environment: Work with passionate, talented professionals solving real-world challenges. If you are a visionary Lead SDET who thrives on technical challenges and is excited to shape the future of quality engineering with Generative AI in the connected vehicle space, we encourage you to apply! Aeris may conduct background checks to verify the information provided in your application and assess your suitability for the role. The scope and type of checks will comply with the applicable laws and regulations of the country where the position is based. Additional details will be provided via the formal application process. Aeris walks the walk on diversity. We’re a brilliant mix of varying ethnicities, religions, cultures, sexual orientations, gender identities, ages and professional/personal/military experiences – and that’s by design. Diverse perspectives are essential to our culture, innovative process and competitive edge. Aeris is proud to be an equal opportunity employer.

As a dynamic AI & Automation Strategist, you will be responsible for driving the implementation of intelligent, automation-first solutions across various internal departments. Your role will involve identifying opportunities for AI and automation, designing and managing efficient workflows, integrating AI tools into various tasks, collaborating with different teams, developing internal tools, and providing technical support for AI-based projects. You will work cross-functionally to embed AI tools and automation into everyday operations, transforming the way teams work and deliver value. Your key responsibilities will include identifying opportunities for AI and automation across departments such as Sales, Project Management, Development, QA, SEO, Design, and HR. You will design and manage efficient workflows using tools like n8n, Zapier, or other automation tools to streamline internal processes. Collaborating with team leads, you will evaluate inefficiencies and recommend AI-powered solutions. Additionally, you will integrate AI into QA and development tasks, collaborate with the Sales team to automate CRM updates, lead nurturing flows, email campaigns, and reporting, develop internal tools, scripts, or dashboards, guide teams on effectively using AI tools, and pilot new tools while continuously refining implementation strategies. The desired skills for this role include a minimum of 6 months of hands-on experience in AI or automation-related projects, familiarity with low-code/no-code platforms like n8n, Zapier, Make, or similar, working knowledge of AI APIs/tools such as OpenAI, Hugging Face, or Google Vertex AI, basic proficiency in JavaScript or Python for task automation and API integration, understanding of frontend/backend workflows and QA cycles, ability to build simple tools and integrations to enhance team productivity, strong analytical and problem-solving skills, and effective communication abilities to explain technical ideas to non-technical users. Nice to have skills for this role include experience in building internal tools or automations, exposure to concepts like vector databases, LangChain, or agent-based automation, previous involvement in AI/automation training or workshops, awareness of AI ethics and best practices in data usage, and familiarity with automation in development pipelines or DevOps environments.,

We are seeking a highly skilled and passionate Software Developer with expertise in Python programming and a strong background in automation and AI technologies. The ideal candidate will have experience working on projects involving Large Language Models (LLMs), including fine-tuning, optimization, and integration. This role requires someone who can write clean, efficient code, automate processes, and contribute to the development of AI-driven solutions. Key Responsibilities Design, develop, and maintain robust Python applications and scripts for various business use cases. Build and enhance automation frameworks, tools, and workflows to improve efficiency. Work with LLMs (Large Language Models), including fine-tuning, prompt engineering, and model deployment. Integrate AI models into applications and services using APIs or custom pipelines. Collaborate with cross-functional teams (data scientists, ML engineers, product managers) to deliver end-to-end AI solutions. Optimize code for performance, scalability, and maintainability. Troubleshoot, debug, and enhance existing systems and automations. Stay updated with the latest advancements in AI/ML, LLMs, and Python ecosystems. Required Skills & Qualifications 3+ years of professional experience as a Python Developer or Software Engineer. Proven experience in writing clean, efficient, and maintainable Python code. Hands-on experience building automation workflows (e.g., using Python scripts, Airflow, or other automation tools). Working knowledge of AI/ML concepts, specifically Large Language Models (e.g., OpenAI, Hugging Face, LLaMA, GPT models). Experience in fine-tuning LLMs or training custom models using frameworks such as PyTorch ,TensorFlow , LangChain Familiarity with APIs, RESTful services, and AI integrations. Strong problem-solving skills and ability to work in a collaborative team environment. Good understanding of version control systems (Git) and CI/CD practices. Preferred Qualifications Experience with cloud platforms (AWS, GCP, Azure) for AI/ML model deployment. Familiarity with Docker or Kubernetes for containerized deployments. Knowledge of data pipelines and ETL processes. Experience with prompt engineering and building LLM-powered chatbots or applications. Exposure to LangChain or other LLM orchestration frameworks. Soft Skills Strong analytical and debugging abilities. Excellent communication and teamwork skills. Ability to work on multiple projects with tight deadlines. Passion for learning emerging technologies and applying them to real-world problems.

As a Senior Director at Accordion, you will be utilizing your skills and expertise as an Azure/AWS Web Application Developer with proficiency in MEAN (MongoDB, Express.js, AngularJS, Node.js) or MERN (MongoDB, Express.js, React.js, Node.js) stack. Your primary responsibility will involve the design, development, and maintenance of web applications hosted on the Azure and AWS platforms. Collaborating with cross-functional teams, you will ensure the delivery of high-quality web applications that align with client requirements. Your key responsibilities will include: - Designing, developing, and maintaining complex web applications using the MERN stack (MongoDB, Express.js, React.JS, and Node.js). - Integrating generative AI models and tools into applications to enhance user experiences and introduce innovative features. - Collaborating with UI/UX designers, data scientists, and backend developers to ensure seamless integration and delivery of high-quality products. - Staying updated with industry trends by researching and evaluating new technologies and tools. - Providing technical leadership and mentorship to junior team members. Ideal candidates for this role should possess: - Proficiency in the MERN stack, including JavaScript, TypeScript, HTML, CSS, and MongoDB. - Experience in designing and developing scalable and maintainable web applications. - Familiarity with serverless computing and containerization technologies such as AWS Lambda and Docker. - Knowledge of DevOps practices and tools like CI/CD pipelines and Git. - Experience with data visualization and analytics tools like Tableau and Power BI. Joining Accordion presents a rewarding career opportunity with benefits including: - High-growth environment with semi-annual performance management and promotion cycles fostering quick progression to leadership roles. - Exposure to diverse work streams across industries and domains to keep you engaged and motivated. - Entrepreneurial environment that encourages decision-making and ownership. - Fun and non-bureaucratic culture with a strong peer group to challenge and accelerate your learning curve. Additionally, Accordion offers a range of benefits for full-time employees such as health and wellness programs, corporate meal card options, team outings, robust leave policies, reward and recognition platforms, and a positive work environment with various employee engagement initiatives to support personal and professional development.,