Artificial Intelligence Engineer

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 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

* Data Engineering & Integration

* 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

* Cloud & Platform Engineering

* 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

Qualifications we seek in you!

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)

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, 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 'starter kit,' paying to apply, or purchasing equipment or training.