Lead consultant Backend Engineer

Ready to shape the future of work
At Genpact we dont just adapt to changewe drive it. AI and digital innovation are redefining industries and were leading the charge. Genpacts AI Gigafactory our industry-first accelerator is an example of how were 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 thats 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 and on LinkedIn X YouTube and Facebook.
Inviting applications for the role of Lead consultant - Backend Engineer
We are seeking a highly skilled Python GenAI Backend Engineer to join our this role you will design develop and maintain backend microservices and APIs that integrate with generative AI platforms knowledge bases and large language models. You will collaborate with cross-functional teams to deliver robust scalable and secure backend solutions that power next-generation AI-driven applications.
Responsibilities
Design and implement RESTful and/or GraphQL APIs using Python frameworks (e.g. Django Flask FastAPI).
Develop microservices and modular backend components for scalability and maintainability.
Integrate third-party services APIs and internal systems.
Work with message queues (RabbitMQ Kafka) for asynchronous processing.
Design build and maintain backend microservices and APIs in Python using frameworks such as Django or Flask
Implement AI integration layers including embedding generation vectorization vector search and retrieval-augmented generation (RAG) pipelines
Integrate with LLM and model-hosting platforms (e.g. AWS Bedrock) and implement prompt chaining and agent orchestration
Build test and operate AI agent frameworks enabling multi-step stateful workflows and task delegation
Architect event-driven and serverless components to scale real-time inference and asynchronous jobs
Ensure services are production-ready with automated CI/CD Infrastructure-as-Code logging tracing and alerting
Collaborate with data scientists ML engineers and product owners to productionize models and implement guardrails
Optimize for cost latency and throughput in model calls embedding pipelines and vector-index maintenance
Produce clear API documentation runbooks and design documents; participate in architectural reviews

Contributing to your BU/Practice by
Delivering innovative scalable backend solutions that drive GenAI-powered business value
Enhancing the organizations AI integration capabilities and technical knowledge base
Supporting the development of best practices and standards for GenAI backend engineering
Collaborating effectively with cross-functional teams to achieve project and organizational goals

Qualifications we seek in you!
Minimum Qualifications
Bachelors degree in Computer Science Engineering or a related field
Proven experience in backend development using Python
Hands-on experience building APIs that call LLMs generate embeddings and perform vector searches
Experience implementing RAG pipelines knowledge-base connectors and vectorization workflows
Familiarity with LLM orchestration techniques such as prompt chaining and agent frameworks
Experience integrating with cloud-based LLM/model platforms (e.g. AWS Bedrock)
Strong engineering grounding in API design authentication/authorization and rate-limiting
Experience with CI/CD automated testing and monitoring in production environments
Preferred Qualifications
Masters degree in computer science Engineering or a related field
Prior experience building AI-powered chatbots virtual assistants or automated agents in production
Strong proficiency in Python and frameworks like Django Flask or FastAPI.
Experience with RESTful API design and development.
Solid understanding of relational and NoSQL databases.
Familiarity with containerization (Docker) and orchestration (Kubernetes).
Knowledge of CI/CD tools (GitHub Actions Jenkins Azure DevOps).
Understanding of cloud platforms (AWS Azure or GCP).

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 140000 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.
Lets 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.