" Inviting applications for the role of AI Developer (LLM & Intelligent Systems Engineering) We are seeking an experienced AI Developer to design and build intelligent, AI-powered systems leveraging large language models (LLMs), semantic search, and modern orchestration frameworks. This role focuses on building scalable AI applications that integrate structured and unstructured data, implement advanced prompt and context engineering strategies, and enable semantic, lexical, and graph-based search capabilities in a cloud-native environment. The ideal candidate combines hands‑on LLM application development expertise with strong Python engineering and data integration capabilities. Responsibilities AI Application Development & Orchestration Design and develop LLM-powered applications using frameworks such as LangChain / LangGraph Build intelligent orchestration workflows integrating AI services with enterprise systems Develop modular AI agents using reasoning frameworks (e.g., React, Chain-of-Thought) Integrate AI workflows with cloud-based orchestration tools Implement scalable and maintainable AI pipelines Prompt & Context Engineering Design advanced prompts for reasoning, retrieval, summarization, and decision workflows Implement memory strategies (short-term and long-term memory management) Optimize context window management for performance and accuracy Build retrieval-augmented generation (RAG) architectures Continuously evaluate and refine prompt effectiveness Semantic, Lexical & Graph-Based Search Implement semantic search using embeddings and vector stores Enable lexical and hybrid search strategies Integrate graph databases for relationship-based querying and reasoning Design indexing strategies for unstructured content (PDFs, images, documents) Build intelligent knowledge retrieval systems Develop pipelines to ingest and transform structured and unstructured data Work with modern data platforms (e.g., Snowflake, NoSQL databases, GraphDBs) Enable data transformation into optimized formats (columnar, vectorized, graph-based) Ensure data quality, governance, and traceability within AI workflows Collaborate with data engineering teams on scalable architecture design Build AI solutions within cloud ecosystems (Azure/AWS/GCP) Integrate AI services with enterprise databases and APIs Implement secure, scalable, and observable AI systems Ensure performance optimization and cost-efficient architecture Minimum Qualifications Experience working with Snowflake or other cloud data warehouses Experience with NoSQL databases (e.g., MongoDB) Exposure to workflow orchestration tools (e.g., Camunda or similar) Knowledge of multimodal AI (text, documents, images, formula parsing) Experience building production-grade AI systems in regulated or enterprise environments Preferred Qualifications / Skills Strong programming expertise in Python Hands‑on experience with LLM orchestration frameworks (e.g., LangChain, LangGraph) Experience with prompt engineering and reasoning frameworks (ReAct, Chain‑of‑Thought) Experience implementing RAG architectures Familiarity with vector databases and embedding models Experience working with Graph Databases (e.g., Neo4j or similar) 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 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. " #J-18808-Ljbffr