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 Design and build AI agents capable of reasoning, planning, and executing tasks autonomously. Develop modular agent components such as planners, executors, evaluators, and orchestrators. Implement multi‑step workflows combining LLMs with external tools and APIs. Build and extend agent frameworks for orchestration, chaining, and decision making. Develop memory systems (short‑term and long‑term) to improve agent context retention. Enable tool‑use capabilities, allowing agents to interact with databases, APIs, and enterprise 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. Collaborate with prompt engineers to refine prompts, evaluation strategies, and agent behavior. Work with cloud and platform teams to deploy scalable AI services. Integrate AI solutions into enterprise workflows and applications. Qualifications Strong programming expertise in Python. Hands‑on experience with LLMs and agentic frameworks (e.g., LangChain, Semantic Kernel). Solid understanding of embeddings and vector databases such as Pinecone, FAISS, and Azure AI Search. Experience with RAG architectures and pipelines. Strong prompt‑engineering and evaluation techniques. Good understanding of the Azure cloud ecosystem, including Azure OpenAI Service, Azure Functions, App Service, and Azure AI Search. Experience deploying scalable AI/ML solutions in cloud environments. Ability to design modular, scalable, and reusable AI components. Understanding of state management, memory architectures, and agent orchestration. Strong problem‑solving and analytical thinking skills. Ability to work in a cross‑functional, fast‑paced environment. Clear communication skills to collaborate with both technical and non‑technical stakeholders. Preferred Qualifications 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. Benefits 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. Accelerate your career – Gain 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 integrity fuel progress. 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 factors such as experience, skills, geographic location, and internal equity. 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. No fees will be charged to process job applications, and applicants are not required to pay to participate in our hiring process. #J-18808-Ljbffr Genpact