AI Developer

AI Developer Ready to shape the future of work? At Genpact, we don’t 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 Developmen tDesign and build AI agents capable of reasoning, planning, and executing tasks autonomousl yDevelop modular agent components (planners, executors, evaluators, orchestrators )Implement multi-step workflows combining LLMs with external tools and API sFramework & System Desig nBuild and extend agent framework s for orchestration, chaining, and decision-makin gDevelop memory system s (short-term and long-term) to improve agent context retentio nImplement tool-use capabilitie s, enabling agents to interact with databases, APIs, and enterprise system sRAG & Knowledge System sDesign and implement Retrieval-Augmented Generation (RAG ) pipeline sWork with embeddings and vector database s to enable semantic search and contextual reasonin gOptimize document ingestion, chunking, indexing, and retrieval strategie sCollaboration & Integratio nCollaborate with prompt engineer s to refine prompts, evaluation strategies, and agent behavior sWork with cloud and platform teams to deploy scalable AI service sIntegrate AI solutions into enterprise workflows and application s Qualifications we seek in y ou!Minimum Qualificati onsTechnical Ski llsStrong programming expertise in Pyt honHands-on experience wi th LLMs and agentic framewo rks (e.g., LangChain, Semantic Kernel, or simil ar)Solid understanding of:Embeddings and vector databa ses (e.g., Pinecone, FAISS, Azure AI Sear ch)RAG architectures and pipeli nesPrompt engineering and evaluation techniq uesCloud & Infrastruct ureGood understanding of t he Azure cloud ecosys tem, includi ng:Azure OpenAI Serv iceAzure Functions / App Servi cesAzure AI Search or equivalent servi cesExperience deploying scalable AI/ML solutions in cloud environme ntsSystem Think ingAbility to desi gn modular, scalable, and reusable AI compone ntsUnderstanding of state management, memory architectures, and agent orchestrat ionStrong problem-solving and analytical think ingAbility to work in a cross-functional, fast-paced environm entClear communication skills to collaborate with both technical and non-technical stakehold ers Preferred Qualifications/ Sk illsExperience build ing multi-agent sys temsFamiliarity w ith evaluation frameworks for LLMs (hallucination detection, response quality, e tc.)Exposure to MLOps / LLMOps pract icesKnowledge of API integrations and microservices architec tureExperience in enterprise AI deployments (banking, risk, or financial services prefer red)Contributions to open-source AI/LLM proj ectsFamiliarity with agent evaluation benchmarks and guardr ails Why join Gen p act? Be a transformation l eader – Work at the cutting edge of AI, automation, and digital innova tion Make an i mpact – Drive change for global enterprises and solve business challenges that ma tter Accelerate your c areer – Get hands-on experience, mentorship, and continuous learning opportuni ties Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven cu lture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel prog ress 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 toget her. The approximate annual base compensation range for this position is [$120,000 to $135,000]. The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant’s experience, knowledge, skills, and abilities; geographic location; and internal equity 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 innov ation. 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. 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