37 Autogpt Jobs

Job Title: AI Solution Engineer Duration: Full time role Location: Mumbai/Pune/Bengaluru (Hybrid) Note: Need immediate joiners OR At least in 2-3 weeks. Note: Need immediate joiners OR At least in 2-3 weeks. Note: Need immediate joiners OR At least in 2-3 weeks. Job Description: Requirements: Minimum 6+ years of experience designing, building, and operating cloud-native applications at scale. Expertise in container orchestration frameworks like Kubernetes and containerization technologies like Docker. Expertise in AI/ML/data capabilities, platforms, frameworks and tools. Proven track record deploying and managing cloud environments using Infrastructure as Code (IaC) tools like Terraform, Ansible, or CloudFormation. Experience in designing and implementing highly available, scalable, and fault-tolerant systems. Development Lifecycle: End-to-end ownership of the entire software development lifecycle (SDLC) for complex enterprise platforms and products. This includes experience in design, prototyping, development (including unit, integration, and end-to-end testing), deployment, and ongoing operations. Technical Skills: Mastery of essential software development principles with a focus on clean code, design patterns, and best practices. In-depth expertise in at least two of the following programming languages: Python Solid understanding of distributed systems concepts and experience with distributed tracing tools. Strong proficiency in Python and software engineering best practices Solid hands-on experience in Machine Learning, Deep Learning, and NLP Expertise in Generative AI, LLMs, Prompt Engineering, and RAG Experience with Agentic AI frameworks (LangGraph, AutoGPT, CrewAI, or similar) Sound knowledge of MLOps practices including model deployment, versioning, and monitoring Familiarity with LLM orchestration tools: LangChain, LlamaIndex, OpenAI, etc. Experience in cloud ecosystems AWS, Azure, or GCP Excellent problem-solving and communication skills AI/ML Experience: Demonstrated experience in building, deploying, and managing Machine Learning (ML) and Artificial Intelligence (AI) platforms and services. Familiarity with MLOps practices, frameworks (TensorFlow, PyTorch), and tools is a plus Familiarity with modern LLMs and AI agent frameworks like LangChain, LlamaIndex , AutoGen etc. is a strong plus

About the Role: We are seeking a highly motivated and technically proficient AI Agent Development Engineer to join our advanced AI team. In this role, you will design, build, and deploy intelligent, autonomous AI agents that leverage Generative AI, Reinforcement Learning, Retrieval-Augmented Generation (RAG), and Agentic AI principles to perform complex, dynamic tasks across diverse domains. You will work at the forefront of AI agent architecture , integrating reasoning, memory, tool usage, and multi-step decision-making capabilities using state-of-the-art libraries and frameworks. Key Responsibilities: Design, develop, and deploy autonomous AI agents for real-world task automation, decision-making, and orchestration. Integrate and fine-tune LLMs (Large Language Models) for goal-oriented, tool-using agents. Implement memory-augmented reasoning, Retrieval-Augmented Generation (RAG) pipelines, and multi-agent coordination . Apply Agentic AI approaches to enable adaptive decision-making, dynamic planning, and autonomous tool usage. Work with vector databases to store and retrieve contextual memory and knowledge. Optimize agent performance using Reinforcement Learning frameworks and human feedback. Collaborate with cross-functional teams to integrate AI agents into applications and services. Monitor, test, and maintain AI pipelines in production environments. Required Skills & Experience: Strong programming skills in Python (C# or R is a plus). Proven experience in building and deploying AI agents or LLM-based applications . Hands-on expertise in: AI Agent Frameworks: LangChain, AutoGPT, BabyAGI, CrewAI, AgentGPT Agentic AI Concepts: reasoning loops, dynamic tool selection, adaptive workflows LLMs & Generative AI: OpenAI (GPT-3.5/4), Hugging Face Transformers, Anthropic Claude, Cohere RAG & Vector Search: Pinecone, FAISS, ChromaDB, Weaviate for context-aware generation Reinforcement Learning: OpenAI Gym, Stable-Baselines3, Ray RLlib NLP & Language Tools: spaCy, NLTK, TextBlob Modeling & Deployment: TensorFlow, PyTorch, Keras, Scikit-learn, MLflow APIs & UI Frameworks: Flask, FastAPI, Streamlit, Gradio DevOps: Docker, Git, CI/CD workflows, Kubernetes, Terraform

About the Role: We are seeking a highly motivated and technically proficient AI Agent Development Engineer to join our advanced AI team. In this role, you will design, build, and deploy intelligent, autonomous AI agents that leverage Generative AI, Reinforcement Learning, Retrieval-Augmented Generation (RAG), and Agentic AI principles to perform complex, dynamic tasks across diverse domains. You will work at the forefront of AI agent architecture , integrating reasoning, memory, tool usage, and multi-step decision-making capabilities using state-of-the-art libraries and frameworks. Key Responsibilities: Design, develop, and deploy autonomous AI agents for real-world task automation, decision-making, and orchestration. Integrate and fine-tune LLMs (Large Language Models) for goal-oriented, tool-using agents. Implement memory-augmented reasoning, Retrieval-Augmented Generation (RAG) pipelines, and multi-agent coordination . Apply Agentic AI approaches to enable adaptive decision-making, dynamic planning, and autonomous tool usage. Work with vector databases to store and retrieve contextual memory and knowledge. Optimize agent performance using Reinforcement Learning frameworks and human feedback. Collaborate with cross-functional teams to integrate AI agents into applications and services. Monitor, test, and maintain AI pipelines in production environments. Required Skills & Experience: Strong programming skills in Python (C# or R is a plus). Proven experience in building and deploying AI agents or LLM-based applications . Hands-on expertise in: AI Agent Frameworks: LangChain, AutoGPT, BabyAGI, CrewAI, AgentGPT Agentic AI Concepts: reasoning loops, dynamic tool selection, adaptive workflows LLMs & Generative AI: OpenAI (GPT-3.5/4), Hugging Face Transformers, Anthropic Claude, Cohere RAG & Vector Search: Pinecone, FAISS, ChromaDB, Weaviate for context-aware generation Reinforcement Learning: OpenAI Gym, Stable-Baselines3, Ray RLlib NLP & Language Tools: spaCy, NLTK, TextBlob Modeling & Deployment: TensorFlow, PyTorch, Keras, Scikit-learn, MLflow APIs & UI Frameworks: Flask, FastAPI, Streamlit, Gradio DevOps: Docker, Git, CI/CD workflows, Kubernetes, Terraform

The Technical Project Manager position at ADQ Services in Hyderabad, India requires a professional with 8+ years of experience to lead end-to-end project delivery. As an ISO 9001 Certified Data Management Consulting company focusing on AI, ML, and NLP technologies, we aim to drive predictability and transform data into valuable insights for our clients. Our team of experts is dedicated to developing customized solutions and staying at the forefront of technological innovation. In this role, you will lead cross-functional teams to deliver MVPs and prototypes swiftly, translating product vision into technical execution plans. You will leverage modern tools and platforms, evaluate tech stacks for faster delivery, manage sprint planning and product launches, and communicate effectively with stakeholders. The ideal candidate will have a strong technical foundation, experience in leading tech product builds, and be comfortable in agile, startup-like environments. Proficiency in project management tools such as Jira, Notion, Trello, or Linear is essential, along with familiarity with frontend frameworks, APIs, and AI tools. Preferred tools and skills include frontend technologies like React, Vue, and Next.js, AI and Automation tools such as GPT, Lang Chain, and Zapier, backend basics like Node.js and Firebase, DevOps tools like GitHub and Vercel, and project management tools like Notion and Jira. If you have hands-on coding capabilities, even basic or part-time, it would be a bonus. Join us at ADQ Services and be a part of our innovative team driving success through the power of AI and data management.,

Role & responsibilities Design & implement agentic workflows using frameworks like LangGraph, CrewAI(or equivalent), including tool orchestration, planning/replanning, and error recovery. Add guardrails & safety : Prompt hardening, output validation (JSON schema/Pydantic), policy filters, jailbreak/indirect prompt injection defenses. Ground responses with context : build RAG pipelines clinical notes, guidelines, and knowledge bases; handle retrieval quality (chunking, reranking), citation & traceability. Engineer loops : review/approval queues, escalation paths, fallbacks, and exception handling Manage agent state & memory : conversation/state graphs, checkpoints, and session continuity using Redis/Postgres/object stores; implement short- and long-term memory with expiry and privacy controls. Observability & evaluation : add traces/metrics, run evals for faithfulness, relevance, and safety (e.g., Ragas), plus task success and Tool Utilization Efficacy. Productionize : package services (Docker), deploy to cloud (AWS/Azure/GCP), manage secrets, implement role-based access controls, audit trails, and cost/latency budgets. Preferred candidate profile 2 to 3 years software experience (Python preferred) building back-end services or applied AI features; comfort with async I/O, APIs, and testing. Hands-on with at least one agent framework (LangGraph, CrewAI) and function/tool calling patterns. Practical guardrails experience output schema validation, content/safety filters, and prompt/policy enforcement. Context/RAG: vector stores, embedding pipelines, rerankers, and citation-aware generation. State management: designing state machines/graphs, persistence (Redis/Postgres/S3), checkpointing, idempotency, and replay. Solid CI/CD habits, containerization (Docker), and cloud deployment; observability (logs, metrics, traces).

As a Full-Stack Developer Intern at Codeminto, you will have the opportunity to work on cutting-edge digital solutions at the forefront of AI, Web3, and blockchain technologies. We are seeking a highly motivated individual with a passion for backend technologies, AI projects, and blockchain development. This internship, whether remote or onsite, offers a unique chance to gain hands-on experience and contribute to innovative projects in a dynamic environment. Your responsibilities will encompass various aspects of development, including full-stack development, AI integration, blockchain development, backend engineering, frontend collaboration, database management, agent frameworks & libraries implementation, as well as deployment & DevOps tasks. You will be expected to build, test, and deploy scalable applications in AI & Web3, implement AI agents and automation tools, work with smart contracts and Web3 frameworks, develop robust APIs, collaborate on frontend frameworks, and manage databases using SQL and NoSQL solutions. To excel in this role, you should have prior experience in 2-4 AI projects with hands-on development, possess strong backend development skills in Node.js, Python, or Go, and demonstrate an understanding of blockchain, smart contracts, and Web3 frameworks. Additionally, familiarity with AI agent frameworks like LangChain, AutoGPT, or LlamaIndex, knowledge of RESTful & GraphQL APIs, experience with cloud platforms for deployment, and a genuine passion for AI, Web3, and blockchain technologies are essential. Bonus skills that would be advantageous include experience with Zero-Knowledge Proofs (ZKPs), DeFi protocols, or NFT platforms, familiarity with LLM fine-tuning and AI inference pipelines, and knowledge of WebSockets, gRPC, and event-driven architectures. Joining Codeminto will provide you with the opportunity to work on cutting-edge AI & Web3 projects, benefit from a flexible remote-friendly culture, learn from top-tier engineers through hands-on experience, and potentially secure a full-time position based on your performance. If you are ready to embark on this exciting journey, apply now with your resume & GitHub portfolio at hr@codeminto.com.,

We are seeking a versatile and highly motivated Full Stack Developer to join our fast-paced Generative AI team. As a Full Stack Developer, you will be responsible for designing, developing, and maintaining intelligent, scalable web applications that integrate with cutting-edge AI models and ecosystems such as OpenAI, Hugging Face, and Azure OpenAI. Your role will involve collaborating with cross-functional teams including AI researchers, backend engineers, and UI/UX designers to bring AI-powered features to production, prioritizing performance, reliability, and innovation. Your key responsibilities will include: - Designing, developing, and maintaining full-stack applications with Generative AI capabilities - Building robust APIs and microservices to support AI workflows - Developing responsive and accessible front-end applications using React.js, Next.js, or Angular - Collaborating with the AI/ML team to embed LLMs, vector databases, and custom agents into scalable systems - Optimizing performance and security for production-grade AI integrations - Contributing to prompt engineering, agent orchestration logic, and human-in-the-loop user experience design - Writing comprehensive tests to ensure code quality and stability - Participating in sprint planning, code reviews, and architectural design discussions - Documenting architecture, flows, and model integrations for cross-team clarity Required Skills & Qualifications: - 3+ years of Full Stack Developer experience with Node.js, Python, or .NET - Proficiency in JavaScript/TypeScript and modern front-end frameworks - Deep understanding of RESTful API and GraphQL design principles - Working knowledge of vector databases like Pinecone, Weaviate, FAISS - Experience with cloud platforms and containerization - Comfortable with SQL and NoSQL databases - Familiarity with AI/ML tools & libraries such as OpenAI API, LangChain, Hugging Face, Azure OpenAI - Strong communication, analytical thinking, and team collaboration skills Preferred Skills: - Experience with Azure AI tools and services - Exposure to LLMOps and AI lifecycle tools - Familiarity with agent-based AI frameworks - Understanding of authentication flows and observability tooling - Practical experience with CI/CD pipelines Bonus Points For: - Contributions to open-source AI projects Join us to work on the cutting-edge of AI + software engineering, collaborate with a world-class team, enjoy flexible working hours tailored for US time zone collaboration, and drive innovation at the intersection of LLMs, UX, and backend architecture. Experience building internal tooling or AI agent dashboards and understanding of enterprise compliance and security standards in AI integration are additional advantages. This is a full-time position with a Monday to Friday schedule and in-person work location.,

Who are we looking for? Technical Lead - Fullstack Whats the story ? In India, there are more than 453+ million migrants. Less than 2% of this cohort uses mobile payments to send money home. While penetration of UPI and digital banking hit the ceiling, this invisible workforce that powers most of Bharat is still stuck in a cash economy and remains underbanked. branchX is India's first neobank enabling empathetic banking for migrant communities. Building banking that is meaningfully accessible to every aspiring Indian goes beyond the 9-5 bustle. If you are someone who derives fulfilment from purpose-led work with the ability to experiment, innovate, fail and iterate, branchX is the playground for you. Location: Navi Mumbai. About Us: Launched in June 2020, branchX is India's first neo-banking solution, enabling empathetic banking for migrant communities. Our vision is to transform the way underbanked communities manage money with a hand-holding grid aided by intelligent technologies. Headquartered in Navi-Mumbai, we are a 100+ member impact-driven team with offices in Noida, Bangalore, Kochi, Tamil Nadu, Kolkata and other locations. Where do you come into the picture? Seeking a highly skilled and experienced Ai Agentic Specialist to drive the design, development, and delivery of scalable, secure, and high-performing Output . We are seeking an Agentic AI Specialist to join our growing Fintech & AI team. In this role, you will develop AI agents capable of autonomous decision-making, with a focus on optimizing Point-of-Sale (POS) operations, inventory management, and real-time integrations. You will work on building intelligent task agents that can think, act, and make safe decisions across multiple steps with seamless interaction across APIs, analytics tools, and hardware triggers. What would a day in your life @ branchX look like? Our ideal Ai Agentic Specialist will have: Build and deploy autonomous task agents for use in operations like POS and inventory management Design agent workflows that support multi-step reasoning and safe decision-making Connect agents to external APIs , analytics dashboards , and hardware events/triggers Maintain and improve agent reliability , responsiveness, and performance in production Collaborate with developers, product managers, and system engineers to embed AI agents into business systems Required Skills: Experience with LangChain , CrewAI , or AutoGPT frameworks Understanding of reinforcement learning or reward-based agent training Familiarity with event-driven architectures and async systems Strong in Python programming and API integration Good problem-solving and debugging skills, especially in live environments Qualifications: Bachelor's or Masters degree in Computer Science, AI, Data Science, or related field 35 years of experience working with AI/ML systems, with at least 12 years focused on agent-based or autonomous systems Additional Benefits: Mediclaim insurance for employees Provident Fund (PF) contributions Supportive, innovation-first work culture Opportunities to work with cutting-edge AI systems in real-world business applications Why Join Us? Work at the forefront of autonomous AI and intelligent systems Get full ownership of projects that have real business impact Collaborate with a skilled, fast-moving team in a growing Fintech company Learn and apply the latest in AI tools, frameworks, and thinking What expertise & experiences would you need to have to play this kind of role? A strong leader capable of leading the company's growth with remarkable skills in Tech Leading

About the Role: We are seeking a highly motivated and technically proficient AI Agent Development Engineer to join our advanced AI team. In this role, you will design, build, and deploy intelligent, autonomous AI agents that leverage Generative AI , Reinforcement Learning , and Natural Language Processing (NLP) to perform complex, dynamic tasks across diverse domains. You will work at the forefront of AI agent architecture , integrating reasoning, memory, tool usage, and multi-step decision-making capabilities using state-of-the-art libraries and frameworks. Key Responsibilities: Design, develop, and deploy autonomous AI agents for real-world task automation and decision-making and orchestration. Integrate and fine-tune LLMs (Large Language Models) for goal-oriented, tool-using agents. Implement memory-augmented reasoning, retrieval-augmented generation (RAG), and multi-agent coordination. Work with vector databases to store and retrieve contextual memory and knowledge. Optimize agent performance using Reinforcement Learning frameworks and human feedback. Collaborate with cross-functional teams to integrate AI agents into applications and services. Monitor, test, and maintain AI pipelines in production environments. Required Skills & Experience: Strong programming skills in Python (C# or R is a plus). Proven experience in building and deploying AI agents or LLM-based applications . Hands-on expertise in: AI Agent Frameworks: LangChain, AutoGPT, BabyAGI, CrewAI, AgentGPT LLMs & Generative AI: OpenAI (GPT-3.5/4), Hugging Face Transformers, Anthropic Claude, Cohere Vector Search & Memory: Pinecone, FAISS, ChromaDB, Weaviate Reinforcement Learning: OpenAI Gym, Stable-Baselines3, Ray RLlib NLP & Language Tools: spaCy, NLTK, TextBlob Modeling & Deployment: TensorFlow, PyTorch, Keras, Scikit-learn, MLflow APIs & UI Frameworks: Flask, FastAPI, Streamlit, Gradio DevOps: Docker, Git, CI/CD workflows, Kubernetes, Terraform Preferred Qualifications: Experience with agent orchestration tools like LangGraph , ReAct, or Toolformer. Exposure to real-time or asynchronous multi-agent systems. Familiarity with prompt engineering, context management, and RAG pipelines. Contributions to open-source agent/LLM projects or research publications in AI/ML. Why Join Us? Be part of an AI-first product company solving real-world automation and decision-making challenges. Work with a team of AI innovators and contribute to cutting-edge research and applications.

At InfoBeans, we believe in making other people's lives better through our work and everyday interactions. As an AI ML Lead based in Indore/Pune with over 10 years of experience in Artificial Intelligence, your role will involve designing AI solutions using both traditional ML and GenAI approaches based on problem needs. You will lead the end-to-end implementation of ML projects, including data preparation, model development, deployment, and monitoring. Additionally, you will be responsible for building GenAI-based applications using LLMs, embeddings, and multi-step reasoning frameworks like LangChain and LangGraph. Your responsibilities will also include conducting research and proof-of-concepts to evaluate emerging GenAI models and techniques, guiding and mentoring junior engineers, and reviewing designs, architecture, and code quality. You will develop fine-tuned and instruction-tuned LLMs using platforms like Hugging Face, OpenAI, and Cohere, and build agentic AI systems involving tool use, memory, and reasoning frameworks. Furthermore, you will ensure that AI models are robust, explainable, and cost-efficient in production and collaborate with stakeholders to understand business goals and translate them into technical solutions. Communication of complex AI concepts to both technical and non-technical audiences is also a key aspect of this role. This strategic position will allow you to play a crucial part in shaping the AI offerings of the company, guiding teams, and solving complex problems using both modern and established AI techniques. In this role, you will enjoy a competitive package and work in an open workspace surrounded by smart and pragmatic team members. You will have ample opportunities for professional and personal growth in a learning culture that values teamwork, collaboration, diversity, excellence, compassion, openness, and ownership. To excel in this role, we are looking for an experienced AI/ML Engineer with a strong background in both traditional Machine Learning and Generative AI. You should have extensive experience in classical AI/ML and at least 3 years in GenAI, totaling 10 years of experience with the ability to design, research, and build scalable AI solutions across domains. Your expertise should include 6-7 years in traditional ML/DL and 2-3 years in Generative AI. Proficiency with Python, scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers is essential, along with an understanding of the ML lifecycle and deep experience with LLMs and related tools. Strong communication, presentation skills, and a research mindset are also important for this role. If you possess the ability to quickly learn and adapt to new GenAI technologies, assess trade-offs between classic and generative AI techniques, and recommend the best-fit approach, we would like you to join our team and contribute to our AI initiatives.,

We are Brainlabs, the High-Performance media agency, on a mission to become the world&aposs biggest and best independent media agency. We plan and buy media that delivers profitable and sustained business impact. And whats our formula Superteams of Brainlabbers, fueled by data and enabled by technology. Brainlabs has always been a culture-first company. In fact, from the very beginnings of the agency a set of shared principles, philosophies and values was documented in The Brainlabs Handbook, helping us create our unique culture. As with everything here we always seek to adapt and improve so The Brainlabs Handbook has been fine-tuned to become The Brainlabs Culture Code. This Culture Code consists of 12 codes that talk to what it means to be a Brainlabber. Its a joint commitment to continuous development and creating a company that we can all be proud of, where Brainlabbers can turn up to do great work, make great friends and win together. You can read The Brainlabs Culture Code in full here. Classification: Full time Team: Data Science Practice Reporting to: Head of Data Services Location: Bengaluru (Hybrid model of working) Experience Range - 13-15 Years Of Experience. As a Director, Data Science youll execute data science initiatives, influence senior leadership and shape the data science roadmap for the organization. The ideal candidate will have extensive experience in statistical modeling, machine learning, Generative AI, MLOps, and cloud-based solutions, along with a track record of leading large-scale projects, mentoring high-performing teams, and deploying models into production. What you do: Strategy & Roadmap: Build and define Brainlabs global Data Science capability roadmap, focused on advanced media optimisation and marketing effectiveness Product Development: Work through all stages of product development: defining capability, crafting business solutions, gathering/structuring data, building ML/DL/AI models, and communicating business impact. Innovation: Research and bring innovations to develop next-generation solutions in marketing & media analytics, incorporating advancements like GPT, LLMs, Agentic AI and multimodal data pipelines Team Leadership: Grow and mentor a high-performing data science team, driving thought leadership, R&D culture, and global collaboration. Pre-sales Support: Estimate project efforts, creating detailed proposals, and developing Statements of Work (SOWs). respond to Requests for Proposals (RFPs) with innovative, tailored analytics solutions. Client/Stakeholder Communication: Engage with diverse stakeholders, including clients, team members, and management. Organizational Initiatives: Lead key organizational initiatives focused on enhancing operational efficiency, service quality, and employee engagement. Analysis: Ability to analyze data and prescribe model-based recommendations/actions for the end users. Process Management: Manage projects in an Agile environment. Who You Are Experienced: A visionary leader with 13-15 years in Data Science projects, 4+ years in Marketing Analytics Educated: Bachelors/Masters degree in relevant field (Math, Statistics, Analytics, Operational Research or related disciplines) Technically Skilled: Experience building ML/DL/NLP/AI models (Python, R, Scala). Experienced with frameworks like TensorFlow, PyTorch, YOLO as well as marketing specific models like Meridian, Robyn and PyMC LLM & AI Specialist: Deep understanding of Agentic AI frameworks (AutoGPT, BabyAGI, OpenAgents) and LLMs (GPT, Claude, Gemini, LLaMA) Cloud & MLOps Fluent: Familiar with MLOps, ML safety and building scalable architectures on AWS, GCP, Azure, or Nvidia stack How You Succeed Culture: You will live our culture code every day! Client Success: Client satisfaction targets being met (internal & external) Deliver Business Impact: Translate complex analytical challenges into actionable solutions that drive measurable outcomes and revenue growth. Lead & Influence: Effectively lead interdisciplinary teams, provide thought leadership, and collaborate with various stakeholders. Lead with Innovation: Stay ahead of trends in Agentic AI, AI safety, regulatory frameworks etc. ,to maintain a competitive edge. Quality: Ensure quality across the deliverables Process Adherence: Enforce compliance with standard operating procedures, best practices, and organizational guidelines. Business Growth: Identify opportunities to expand existing accounts and develop new business by understanding client needs, proposing value-driven solutions, and fostering long-term relationships. Brainlabs delivers high performance for our clients and ourselves. We do that through our high-performance culture. That means each and every one of us has very clear goals every year which are the focus for our own contribution, growth and coaching. Practice Efficiency Working effectively to manage your own time in accordance with client requirements Client Client satisfaction One client case study produced to show the impact of your work on growing client business Practice Growth Learning certification/hours met Actively contributing ideas and innovations to the wider practice Technology & QA Adoption target of 100% met 95% QA metric hit Process automation Live our Culture Code Give 5 meaningful pieces of feedback each month Receive 360 positive feedback on how you live our Culture Code Grow Knowledge Complete Brainlabs Data Science Advanced Certification Brainlabs Internal Mentor accreditation (Optional) What happens next We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you. Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know! Please note that we will never ask you to transfer cash or make any other payment to us in order to apply for a role or to work for Brainlabs. Any such asks are fraudulent and should be reported to the appropriate authorities in your area. Show more Show less

We are searching for a Senior Software Engineer in AI who possesses more than 3 years of practical experience in Artificial Intelligence and Machine Learning and has a strong enthusiasm for innovation. This position is perfect for an individual who excels in a startup setting that is fast-paced, product-oriented, and filled with opportunities to create a meaningful difference. Your main responsibility will be to contribute to the development of intelligent, scalable, and production-ready AI systems, with a particular emphasis on Generative AI and Agentic AI technologies. Key Responsibilities: - Developing and implementing AI-powered applications and services, with a focus on Generative AI and Large Language Models (LLMs). - Designing and executing Agentic AI systems that consist of autonomous agents capable of planning and executing multi-step tasks. - Collaborating with various teams such as product, design, and engineering to seamlessly integrate AI capabilities into products. - Crafting clean, scalable code and establishing robust APIs and services to facilitate the deployment of AI models. - Taking charge of feature delivery from start to finish, including research, experimentation, deployment, and monitoring. - Keeping abreast of the latest AI frameworks, tools, and best practices and leveraging them in product development. - Contributing to a culture of high performance within the team and providing mentorship to junior team members when necessary. Required Skills: - A total of 6 years of software development experience, with at least 3 years dedicated to AI/ML engineering. - Proficiency in Python, along with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face). - Demonstrated expertise in working with LLMs (e.g., GPT, Claude, Mistral) and various Generative AI models (text, image, or audio). - Practical knowledge of Agentic AI frameworks such as LangChain, AutoGPT, and Semantic Kernel. - Experience in constructing and deploying ML models in production environments. - Familiarity with vector databases like Pinecone, Weaviate, FAISS, and prompt engineering concepts. - Comfortable operating in a startup-like atmosphere - self-driven, adaptable, and eager to take on responsibilities. - Sound understanding of API development, version control, and contemporary DevOps/MLOps procedures. This is a permanent position that requires in-person work.,

Senior GenAI & Agentic AI Expert (Architect) Relocation to Abu Dhabi, UAE Location: Abu Dhabi Client: Abu Dhabi Government About The Role Our client, a global consulting firm with distributed teams across the US, Canada, UAE, India, and PK, is hiring a high-caliber Senior Generative AI Expert with proven hands-on experience in building Agentic AI applications . This role is ideal for someone who has a total of 12 to 20+ years of software engineering and AI/ML experience and is now focused on autonomous AI agents, tool-using LLMs, LangChain, AutoGPT, or similar frameworks . Key Responsibilities Design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or similar) Architect and implement multi-agent systems for enterprise-grade solutions Integrate AI agents with APIs, databases, internal tools, and external SaaS products Lead and mentor a cross-functional team across global time zones Optimize performance, context retention, tool usage, and cost efficiency Build reusable pipelines and modules to support GenAI use cases at scale Ensure enterprise-grade security, privacy, and compliance standards in deployments Collaborate directly with clients and senior stakeholders Ideal Candidate Profile 10 to 15+ years of professional experience in software engineering and AI/ML 3+ years of practical experience in LLM-based application development Strong track record of delivering Agentic AI systems (not just chatbot interfaces) Hands-on experience with: LangChain, AutoGPT, CrewAI, ReAct, Semantic Kernel OpenAI, Claude, Gemini, Mistral, or Llama2 Embedding models, vector databases (FAISS, Pinecone, Weaviate, etc.) Prompt engineering, RAG, memory/context management Serverless, Python, Node.js, AWS/GCP/Azure cloud Experience leading engineering teams and working with enterprise clients Excellent communication, documentation, and stakeholder management skills Must be open to relocation to UAE Why Join Work on UAE Government project(s) Lead cutting-edge Agentic AI projects at enterprise scale Collaborate with senior teams across US, Canada, UAE, India, and PK Competitive compensation + long-term career roadmap Skills: memory/context management,apis integration,enterprise-grade security,crewai,saas products integration,aws,semantic kernel,prompt engineering,openai,node.js,multi-agent systems,azure,databases integration,gemini,cost efficiency,embedding models,rag,autogpt,performance optimization,llm frameworks,agentic ai,generative ai,langchain,gcp,python,vector databases Show more Show less

As a Senior Software Engineer AI at Techvantage.ai, a pioneering technology and product engineering company specializing in Generative AI, Agentic AI, and autonomous intelligent systems, you will be an integral part of our innovative team. With a minimum of 3 years of hands-on experience in Artificial Intelligence/Machine Learning, you will contribute to the development of cutting-edge solutions that are designed to adapt and scale alongside the advancements in artificial intelligence. In this role, you will be immersed in a fast-paced startup environment that is product-driven and offers ample opportunities to drive real impact. Your primary focus will be on building sophisticated AI systems that are intelligent, scalable, and production-ready, with a particular emphasis on Generative AI and Agentic AI technologies. Your responsibilities will include building and deploying AI-driven applications and services, with a specific focus on Generative AI and Large Language Models (LLMs). You will design and implement Agentic AI systems, autonomous agents capable of planning and executing multi-step tasks. Collaboration with cross-functional teams, including product, design, and engineering, will be crucial as you integrate AI capabilities into various products. Additionally, you will be expected to write clean and scalable code, develop robust APIs and services to support AI model deployment, and take ownership of feature delivery from research and experimentation to deployment and monitoring. Keeping abreast of emerging AI frameworks, tools, and best practices will be essential for your role, as you apply them in product development. Moreover, contributing to a high-performing team culture and mentoring junior team members when necessary will be part of your responsibilities. To excel in this role, you should possess at least 3 years of overall software development experience, with a specific focus on AI/ML engineering. Proficiency in Python is a must, along with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face). Your experience with LLMs (e.g., GPT, Claude, Mistral) and Generative AI models (text, image, or audio) will be highly valued. Practical knowledge of Agentic AI frameworks (e.g., LangChain, AutoGPT, Semantic Kernel), as well as experience in building and deploying ML models to production environments, will be beneficial. Familiarity with vector databases (Pinecone, Weaviate, FAISS) and prompt engineering concepts, coupled with the ability to thrive in a startup-like environment, will set you up for success in this role. A solid understanding of API development, version control, and modern DevOps/MLOps practices is also essential. If you are a motivated individual who is passionate about innovation and eager to contribute to cutting-edge AI solutions, we encourage you to share your updated CV with us at amarragi@affable.in or contact us at 9048151003. This is a full-time position that offers a unique opportunity to be at the forefront of AI innovation and product development.,

Responsibility : Design, develop, and deploy AI-powered solutions using LLMs and agentic frameworks. Build and optimize prompt engineering strategies to ensure high-performance language model behavior. Create and maintain autonomous AI agents capable of executing complex multi-step task. Develop, test, and iterate on real-world AI workflows integrated into broader applications. Collaborate with product managers, designers, and engineers to translate business problems into scalable AI solutions. Monitor and fine-tune AI models in production for accuracy, performance, and cost-effectiveness. Stay current with emerging trends in generative AI, LLMs, agent-based architectures, and MLOps. Requirements 2+ years of hands-on experience in AI/ML engineering or applied NLP. Proven experience with Prompt Engineering and customizing large language model behavior. Experience developing or integrating Agentic AI frameworks (e.g., LangChain, AutoGPT, CrewAI, etc.). Strong understanding of LLMs (e.g., GPT-4, Claude, Mistral, Gemini, etc.) and how to apply them in workflow automation. Demonstrated ability to deploy working AI solutions and pipelines in production environments. Proficient in Python and relevant AI libraries (Transformers, OpenAI SDK, LangChain, etc.). Familiarity with RESTful APIs, cloud platforms (e.g., Azure, AWS, GCP), and version control tools (e.g., Git) Benefits Opportunity to work with a dynamic and fast-paced IT organization. Make a real impact on the companys success by shaping a positive and engaging work culture. Work with a talented and collaborative team. Be part of a company that is passionate about making a difference through technology.

You should have 3 to 10 years of experience in AI development and be located in Coimbatore. Immediate joiners are preferred. A minimum of 2 years of experience in core Gen AI is required. As an AI Developer, your responsibilities will include designing, developing, and fine-tuning Large Language Models (LLMs) for various in-house applications. You will implement and optimize Retrieval-Augmented Generation (RAG) techniques to enhance AI response quality. Additionally, you will develop and deploy Agentic AI systems capable of autonomous decision-making and task execution. Building and managing data pipelines for processing, transforming, and feeding structured/unstructured data into AI models will be part of your role. It is essential to ensure scalability, performance, and security of AI-driven solutions in production environments. Collaboration with cross-functional teams, including data engineers, software developers, and product managers, is expected. You will conduct experiments and evaluations to improve AI system accuracy and efficiency while staying updated with the latest advancements in AI/ML research, open-source models, and industry best practices. You should have strong experience in LLM fine-tuning using frameworks like Hugging Face, DeepSpeed, or LoRA/PEFT. Hands-on experience with RAG architectures, including vector databases such as Pinecone, ChromaDB, Weaviate, OpenSearch, and FAISS, is required. Experience in building AI agents using LangChain, LangGraph, CrewAI, AutoGPT, or similar frameworks is preferred. Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow is necessary. Experience in Python web frameworks such as FastAPI, Django, or Flask is expected. You should also have experience in designing and managing data pipelines using tools like Apache Airflow, Kafka, or Spark. Knowledge of cloud platforms (AWS/GCP/Azure) and containerization technologies (Docker, Kubernetes) is essential. Familiarity with LLM APIs (OpenAI, Anthropic, Mistral, Cohere, Llama, etc.) and their integration in applications is a plus. A strong understanding of vector search, embedding models, and hybrid retrieval techniques is required. Experience with optimizing inference and serving AI models in real-time production systems is beneficial. Experience with multi-modal AI (text, image, audio) and familiarity with privacy-preserving AI techniques and responsible AI frameworks are desirable. Understanding of MLOps best practices, including model versioning, monitoring, and deployment automation, is a plus. Skills required for this role include PyTorch, RAG architectures, OpenSearch, Weaviate, Docker, LLM fine-tuning, ChromaDB, Apache Airflow, LoRA, Python, hybrid retrieval techniques, Django, GCP, CrewAI, OpenAI, Hugging Face, Gen AI, Pinecone, FAISS, AWS, AutoGPT, embedding models, Flask, FastAPI, LLM APIs, DeepSpeed, vector search, PEFT, LangChain, Azure, Spark, Kubernetes, AI Gen, TensorFlow, real-time production systems, LangGraph, and Kafka.,

Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI, and autonomous intelligent systems. We create intelligent, user-first digital products that redefine industries through the power of AI and engineering excellence. We are looking for a Senior Software Engineer-AI with 4-6 years of hands-on experience in Artificial Intelligence/ML and a passion for innovation. This role is ideal for someone who thrives in a startup environment, fast-paced, product-driven, and full of opportunities to make a real impact. You will contribute to building intelligent, scalable, and production-grade AI systems, with a strong focus on Generative AI and Agentic AI technologies. As a Senior Software Engineer-AI at Techvantage.ai, you will be responsible for building and deploying AI-driven applications and services, focusing on Generative AI and Large Language Models (LLMs). You will design and implement Agentic AI systemsautonomous agents capable of planning and executing multi-step tasks. Collaborate with cross-functional teams including product, design, and engineering to integrate AI capabilities into products. Write clean, scalable code and build robust APIs and services to support AI model deployment. Own feature delivery end-to-endfrom research and experimentation to deployment and monitoring. Stay current with emerging AI frameworks, tools, and best practices and apply them in product development. Contribute to a high-performing team culture and mentor junior team members as needed. In order to excel in this role, we are seeking candidates with 3-6 years of overall software development experience, with at least 3 years specifically in AI/ML engineering. Strong proficiency in Python is required, along with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face). Proven experience working with LLMs (e.g., GPT, Claude, Mistral) and Generative AI models (text, image, or audio) is highly desirable. Practical knowledge of Agentic AI frameworks (e.g., LangChain, AutoGPT, Semantic Kernel) is a plus. Experience building and deploying ML models to production environments is essential. Familiarity with vector databases (Pinecone, Weaviate, FAISS) and prompt engineering concepts is beneficial. Comfortable working in a startup-like environment is crucialself-motivated, adaptable, and willing to take ownership. A solid understanding of API development, version control, and modern DevOps/MLOps practices is expected from the ideal candidate.,

We are looking for a GenAI/ML Engineer to design, develop, and deploy cutting-edge AI/ML models and Generative AI applications . This role involves working on large-scale enterprise use cases, implementing Large Language Models (LLMs) , building Agentic AI systems , and developing data ingestion pipelines . The ideal candidate should have hands-on experience with AI/ML development , Generative AI applications , and a strong foundation in deep learning , NLP , and MLOps practices. Key Responsibilities Design, develop , and deploy AI/ML models and Generative AI applications for various enterprise use cases. Implement and integrate Large Language Models (LLMs) using frameworks such as LangChain , LlamaIndex , and RAG pipelines . Develop Agentic AI systems capable of multi-step reasoning and autonomous decision-making . Create secure and scalable data ingestion pipelines for structured and unstructured data, enabling indexing, vector search, and advanced retrieval techniques. Collaborate with cross-functional teams (Data Engineers, Product Managers, Architects) to deploy AI solutions and enhance the AI stack. Build CI/CD pipelines for ML/GenAI workflows and support end-to-end MLOps practices. Leverage Azure and Databricks for training , serving , and monitoring AI models at scale. Required Qualifications & Skills (Mandatory) 4+ years of hands-on experience in AI/ML development , including Generative AI applications . Expertise in RAG , LLMs , and Agentic AI implementations. Strong experience with LangChain , LlamaIndex , or similar LLM orchestration frameworks. Proficiency in Python and key ML/DL libraries : TensorFlow , PyTorch , Scikit-learn . Solid foundation in Deep Learning , Natural Language Processing (NLP) , and Transformer-based architectures . Experience in building data ingestion , indexing , and retrieval pipelines for real-world enterprise use cases. Hands-on experience with Azure cloud services and Databricks . Proven track record in designing CI/CD pipelines and using MLOps tools like MLflow , DVC , or Kubeflow . Soft Skills Strong problem-solving and critical thinking ability. Excellent communication skills , with the ability to explain complex AI concepts to non-technical stakeholders. Ability to collaborate effectively in agile , cross-functional teams . A growth mindset , eager to explore and learn emerging technologies. Preferred Qualifications Familiarity with vector databases such as FAISS , Pinecone , or Weaviate . Experience with AutoGPT , CrewAI , or similar agent frameworks . Exposure to Azure OpenAI , Cognitive Search , or Databricks ML tools . Understanding of AI security , responsible AI , and model governance . Role Dimensions Design and implement innovative GenAI applications to address complex business problems. Work on large-scale, complex AI solutions in collaboration with cross-functional teams. Take ownership of the end-to-end AI pipeline , from model development to deployment and monitoring. Success Measures (KPIs) Successful deployment of AI and Generative AI applications . Optimization of data pipelines and model performance at scale. Contribution to the successful adoption of AI-driven solutions within enterprise use cases. Effective collaboration with cross-functional teams, ensuring smooth deployment of AI workflows. Competency Alignment AI/ML Development : Expertise in building and deploying scalable and efficient AI models. Generative AI : Strong hands-on experience in Generative AI , LLMs , and RAG frameworks. MLOps : Proficiency in designing and maintaining CI/CD pipelines and implementing MLOps practices . Cloud Platforms : Experience with Azure and Databricks for AI model training and serving.

As an Agentic AI Research Engineer at Pranathi Software Services Pvt. Ltd., you will be part of a leading software product development company that specializes in cutting-edge technologies like AI, Machine Learning, and advanced automation. Our focus is on building next-generation intelligent systems powered by Agentic AI, and we are seeking passionate individuals to join our AI R&D team in Hyderabad. To be successful in this role, you should have a postgraduate degree (M.Tech/M.E./Ph.D.) in Computer Science, AI, Machine Learning, or a related field. You should also have strong experience with LLM-based agents, multi-agent systems, or reinforcement learning. Proficiency in Python and deep learning libraries such as PyTorch, TensorFlow, or JAX is essential. Hands-on experience with frameworks like LangChain, OpenAI APIs, AutoGPT, or Hugging Face Transformers will be beneficial. Additionally, a solid understanding of prompt engineering, agent reasoning strategies, and knowledge graphs is required. This is a full-time position based in Hyderabad, India, with opportunities for on-site or hybrid work arrangements. If you are excited about working on innovative AI projects and meet the qualifications mentioned above, we encourage you to share your resume with us at giribabu@pranathiss.com.,

As an AI Architect, you will be responsible for designing and deploying scalable, autonomous AI systems that seamlessly integrate with cloud platforms and enterprise workflows. Your role will involve leading AI strategy, evaluating emerging frameworks, and optimizing AI models for real-world applications, all while driving innovation in agentic AI. You will be tasked with architecting scalable, autonomous AI/ML systems, including APIs, agents, and pipelines for dynamic decision-making. Additionally, you will provide technical leadership by guiding AI engineers and data scientists in implementing advanced architectures such as LLMs and multi-agent frameworks. Deployment of AI solutions on cloud platforms like AWS SageMaker, Azure ML, or Vertex AI, and utilizing tools like LangChain, AutoGPT, or Autogen will also be part of your responsibilities. Your role will also involve fine-tuning LLMs and AI models for domain-specific tasks such as real-time analytics and adaptive automation. You will prototype emerging AI architectures like neuro-symbolic systems and self-improving agents for production viability, and ensure system robustness through stress testing, bias mitigation, and compliance with ethical AI standards. Collaborating with stakeholders to align AI initiatives with business goals and advocate for AI-driven innovation will also be crucial. To excel in this role, you should have a minimum of 6 years of hands-on experience in AI architecture, cloud platforms (AWS/Azure/GCP), and LLM frameworks. Proficiency in Python, TensorFlow/PyTorch, and AI deployment tools like SageMaker and Vertex AI is essential. A strong background in autonomous agents, multi-agent systems, and AI optimization is required. Experience with frameworks like LangChain, AutoGPT, or similar is a plus. You should also possess the ability to translate research into production-ready architectures, along with excellent communication and leadership skills. Join us at CoinFantasy, a revolutionary Play to Invest platform that offers a risk-free sandbox environment for exploring the end-to-end investment journey. As part of our innovative team, you will be pioneering a groundbreaking decentralized protocol set to redefine the AI landscape. Shape the future of finance and technology with us! Benefits of joining us include a competitive salary, performance incentives, being part of the Core Team in a fast-growing company, fulfilling and challenging work with real impact on the product, and unlimited growth opportunities both professionally and personally.,

The company you will be joining, TechGlobal, is a renowned global leader in strategy, technology consulting, and digital services, operating in over 100 countries. TechGlobal is dedicated to assisting businesses in embracing cutting-edge solutions for their digital transformation, aiming to make them digital-first and digital-ready. With a workforce of over 600,000 employees globally, including 200,000 in India, the company has a strong presence in the country with development centers in more than 10 locations across Tier 1 and Tier 2 cities. TechGlobal is known for its people-centric and employee-friendly policies, offering hybrid work options and flexible location choices due to its extensive Pan India presence. Your role at TechGlobal will involve developing applications and systems that leverage AI tools and Cloud AI services, ensuring the creation of cloud or on-prem application pipelines with production-ready quality. You will be expected to integrate GenAI models into the solutions, exploring areas such as deep learning, neural networks, chatbots, and image processing. Key Responsibilities: - Lead research and development in agentic architectures, autonomous agents, human-agent collaboration, and model/agent drift detection. - Design and prototype autonomous agents for practical applications like enterprise automation, digital assistants, and healthcare autonomous agents. - Collaborate with solutioning, delivery, and engineering teams to incorporate agentic capabilities into scalable systems for various industries. - Work with the Responsible AI team to embed policies in the solutions, collaborate with consulting teams to provide technical expertise in AI, and engage with academia and industry partners for advancing research boundaries. - Share innovative research findings in top AI forums and conferences. - Develop a strong AI talent pool and promote a culture of continuous learning within the organization, while mentoring a team of researchers and engineers. - Provide consulting and solutioning support for complex client issues by leveraging niche AI skills and utilizing advanced frameworks and accelerators. Skills Required: - A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics, or Statistics from prestigious institutions like IITs, IISc, IIIT, or ISI. - A total of 12-20 years of experience with at least 5 years of relevant experience post-PhD. - Profound expertise in reinforcement learning, autonomous agents, and multi-agent systems. - In-depth understanding of LLMs and their application in agentic workflows. - Hands-on experience with frameworks such as LangChain, AutoGPT, or similar tools. - Demonstrated history of innovation and publications. Qualifications & Experience: - A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics, or Statistics from esteemed institutions like IITs, IISc, IIIT, or ISI. - 12 to 20 years of overall experience in relevant fields.,

The ideal candidate for this position in Ahmedabad should be a graduate with at least 3 years of experience. At Bytes Technolab, we strive to create a cutting-edge workplace infrastructure that empowers our employees and clients. Our focus on utilizing the latest technologies enables our development team to deliver high-quality software solutions for a variety of businesses. You will be responsible for leveraging your 3+ years of experience in Machine Learning and Artificial Intelligence to contribute to our projects. Proficiency in Python programming and relevant libraries such as NumPy, Pandas, and scikit-learn is essential. Hands-on experience with frameworks like PyTorch, TensorFlow, Keras, Facenet, and OpenCV will be key in your role. Your role will involve working with GPU acceleration for deep learning model development using CUDA, cuDNN. A strong understanding of neural networks, computer vision, and other AI technologies will be crucial. Experience with Large Language Models (LLMs) like GPT, BERT, LLaMA, and familiarity with frameworks such as LangChain, AutoGPT, and BabyAGI are preferred. You should be able to translate business requirements into ML/AI solutions and deploy models on cloud platforms like AWS SageMaker, Azure ML, and Google AI Platform. Proficiency in ETL pipelines, data preprocessing, and feature engineering is required, along with experience in MLOps tools like MLflow, Kubeflow, or TensorFlow Extended (TFX). Expertise in optimizing ML/AI models for performance and scalability across different hardware architectures is necessary. Knowledge of Natural Language Processing (NLP), Reinforcement Learning, and data versioning tools like DVC or Delta Lake is a plus. Skills in containerization tools like Docker and orchestration tools like Kubernetes will be beneficial for scalable deployments. You should have experience in model evaluation, A/B testing, and establishing continuous training pipelines. Working in Agile/Scrum environments with cross-functional teams, understanding ethical AI principles, model fairness, and bias mitigation techniques are important. Familiarity with CI/CD pipelines for machine learning workflows and the ability to communicate complex concepts to technical and non-technical stakeholders will be valuable.,

Ready to build the future with AI At Genpact, we don&rsquot just keep up with technology&mdashwe set the pace. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquos possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Senior Manager - AI Architect We are seeking a highly skilled AI Architect to design, develop, and oversee artificial intelligence (AI) and agentic solutions. You will be responsible for creating scalable AI architectures, integrating AI models / agentic solutions into enterprise systems, and ensuring alignment with business objectives . This role requires deep technical expertise , strategic thinking, and the ability to work with cross-functional teams. Responsibilities: AI Strategy & Architecture: Design and implement AI/ML architectures that align with business goals. Define best practices for AI model lifecycle management , including training, deployment, and monitoring. Ensure A gentic solutions are scalable, secure, and efficient for enterprise deployment. AI Development & Integration: Select the right AI frameworks, tools, and platforms for business needs. Oversee the development and integration of AI models into enterprise applications. Collaborate with data scientists and engineers to optimize AI models for performance and accuracy. Governance & Compliance: Establish AI governance frameworks to ensure ethical and responsible AI usage. Ensure compliance with data privacy laws (e.g., GDPR, CCPA) and industry regulations. Implement robust AI security measures to protect against adversarial attacks. Collaboration & Leadership: Work closely with business leaders, IT teams, and data science teams to translate requirements into AI solutions. Lead and mentor AI developers Stay updated with the latest AI trends and drive innovation in AI adoption within the organization. Qualifications we seek in you! Minimum qualifications: Technical Skills: Expertise in machine learning, deep learning, and NLP (TensorFlow, PyTorch , Hugging Face, etc.). Fine-tuning and Prompt Engineering - Optimizing LLMs like GPT-4, LLaMA , Claude, and Gemini for agentic behavior. Retrieval-Augmented Generation (RAG) - Integrating LLMs with knowledge bases for real-time decision-making. Agentic Frameworks - Proficiency in LangChain , AutoGPT , BabyAGI , or CrewAI for building autonomous agents. Strong knowledge of cloud AI platforms (AWS, Azure AI, Google Vertex AI). Proficiency in programming languages (Python, Java, R, etc.). Understanding of MLOps practices for model deployment and monitoring. Experience with API development and microservices architecture. Soft Skills: Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Ability to work in a fast-paced, cross-functional environment. Preferred Qualifications: Master&rsquos in Computer Science , AI, Data Science, or related fields. Certifications in AI/ML (e.g., AWS Certified Machine Learning, Google Professional ML Engineer). Relevant years of experience in software development or equivalent Experience in AI ethics and bias mitigation (Optional) Why join Genpact Lead AI-first transformation - Build and scale AI solutions that redefine industries Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career &mdashGain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up . Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

candidates with experience in Agentic AI frameworks (e.g., LangChain, AutoGPT, Semantic Kernel), LLM who are passionate about product development and AI/ML Engineering.

3 - 5 years of experience in AI/ML development, with at least 1 year specifically working with LLMs or autonomous systems Strong programming skills in Python and familiarity with ML frameworks (PyTorch, TensorFlow) Experience with various models available and deployments on AWS, Azure, and GCP. Experience using pre-trained models and training models when required. Experienced with Azure AI platform. Experience working with modern language models (e.g., GPT-4, Claude, LLaMA, Mistral) Knowledge of prompt engineering, chain-of-thought reasoning, and LLM fine-tuning Understanding of agent frameworks such as LangChain, AutoGPT or similar. Experienced with integration platforms like UI-path, Alteryx etc. Familiarity with reinforcement learning and/or reinforcement learning through human feedback techniques Excellent understanding of REST APIs Skills: aws,modern language models , ui-path , gcp , alteryx , pytorch , ai / ml development , autogpt , ml , azure , integration platforms,prompt engineering,agent frameworks,azure ai platform,reinforcement learning,model training,llm fine-tuning,python,rest apis,pre-trained models,langchain,tensorflow