Urgent Hiring_AI developer_LLM_RAG

Job description

Ready to shape the future of work? At Genpact, we dont just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, 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 genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Manager, AI Developer- Agentic Systems and LLM Engineering! In this role, we are seeking a highly skilled AI Developer to design and build next-generation agentic AI systems that can reason, plan, and act autonomously. This role sits at the intersection of LLM engineering, system design, and applied AI, with a strong focus on building scalable, production-grade intelligent agents. You will work closely with prompt engineers, data scientists, and platform teams to develop AI components that leverage retrieval-augmented generation (RAG), memory systems, and tool integration frameworks. Responsibilities: Agentic AI Development • Design and build AI agents capable of reasoning, planning, and executing tasks autonomously • Develop modular agent components (planners, executors, evaluators, orchestrators) • Implement multi-step workflows combining LLMs with external tools and APIs Framework & System Design • Build and extend agent frameworks for orchestration, chaining, and decision-making • Develop memory systems (short-term and long-term) to improve agent context retention • Implement tool-use capabilities, enabling agents to interact with databases, APIs, and enterprise systems RAG & Knowledge Systems • Design and implement Retrieval-Augmented Generation (RAG) pipelines • Work with embeddings and vector databases to enable semantic search and contextual reasoning • Optimize document ingestion, chunking, indexing, and retrieval strategies Collaboration & Integration • Collaborate with prompt engineers to refine prompts, evaluation strategies, and agent behaviors • Work with cloud and platform teams to deploy scalable AI services • Integrate AI solutions into enterprise workflows and applications Qualifications we seek in you! Minimum Qualifications Technical Skills • Strong programming expertise in Python • Hands-on experience with LLMs and agentic frameworks (e.g., LangChain, Semantic Kernel, or similar) • Solid understanding of: o Embeddings and vector databases (e.g., Pinecone, FAISS, Azure AI Search) o RAG architectures and pipelines o Prompt engineering and evaluation techniques Cloud & Infrastructure • Good understanding of the Azure cloud ecosystem, including: o Azure OpenAI Service o Azure Functions / App Services o Azure AI Search or equivalent services • Experience deploying scalable AI/ML solutions in cloud environments System Thinking • Ability to design modular, scalable, and reusable AI components • Understanding of state management, memory architectures, and agent orchestration • Strong problem-solving and analytical thinking • Ability to work in a cross-functional, fast-paced environment • Clear communication skills to collaborate with both technical and non-technical stakeholders Preferred Qualifications/ Skills • Experience building multi-agent systems • Familiarity with evaluation frameworks for LLMs (hallucination detection, response quality, etc.) • Exposure to MLOps / LLMOps practices • Knowledge of API integrations and microservices architecture • Experience in enterprise AI deployments (banking, risk, or financial services preferred) • Contributions to open-source AI/LLM projects • Familiarity with agent evaluation benchmarks and guardrails Why join Genpact? • Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation • Make an impact – Drive change for global enterprises and solve business challenges that matter • Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities • Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day • 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 tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, colour, 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 'starter kit,' paying to apply, or purchasing equipment or training. Share your resume at **neha.singh@genpcat.com**