2 days ago
Jaipur, IndiaStaff+
Responsibilities
- Build and maintain agents within the Microsoft Agent Framework multi-agent pipeline, including visual workflow design, prompt engineering, tool registration, and agent-to-agent handoffs.
- Develop Python and FastAPI backend services using asynchronous patterns, Azure SDK for Python, and RESTful API design.
- Integrate Azure OpenAI, Azure AI Foundry, Azure AI Content Understanding, Azure AI Translator, and Azure AI Search into the platform.
- Implement insurance workflow rules for policy search, duplicate detection, mid-term binding, and carrier-portal submission.
- Develop human-in-the-loop components such as exception queues, reviewer edit flows, and escalation paths.
- Write clean, version-controlled, well-tested Python code with unit and integration tests for deterministic and non-deterministic LLM outputs.
- Integrate with AIM API, ImageRight, carrier portals, and Cora Sequence using OAuth2, API keys, and managed identities.
- Contribute to Azure DevOps or GitHub Actions CI/CD pipelines and DevSecOps practices.
- Participate in code reviews, sprint ceremonies, technical documentation, production debugging, and root-cause analysis.
- Lead code reviews for 4C developers and contribute to low-level design and integration decisions.
Requirements
- Relevant hands-on Python-first software development experience and practical AI or agentic development experience.
- Strong Python skills with FastAPI, async/await, Pydantic, Azure SDK for Python, REST APIs, and production-quality coding practices.
- Hands-on Microsoft Agent Framework experience; Semantic Kernel experience is also eligible during the platform migration.
- Experience with Azure OpenAI, including LLM invocation, prompt construction, token budgeting, retry and fallback strategies, and structured output parsing.
- Working knowledge of Azure Key Vault, managed identities, Microsoft Entra ID, Azure Storage, Azure Monitor, and Application Insights.
- Experience consuming external REST APIs with OAuth2, API keys, managed identities, JSON, and OpenAPI or Swagger contracts.
- Experience with Git, branching, code review workflows, CI/CD, unit testing, integration testing, and pytest or equivalent.
- Ability to own features from design through production deployment with light oversight.
- Experience with Azure AI Foundry model deployment, versioning, and guardrails configuration is required at the 4D band.
- Understanding of multi-agent orchestration, tool registration, context-window management, and prompt-chaining strategies.
- Bachelor's degree in Computer Engineering, Computer Science, or Information Technology, or a master's degree in Software Engineering.
- Preferred experience with Azure AI Content Understanding, Azure AI Search, Azure AI Translator, insurance broking integrations, Azure Service Bus, Kafka, RabbitMQ, Java, Spring Boot, Docker, Kubernetes, and MLOps.
- English proficiency at an advanced C1 level is required.
Benefits
- Hybrid work arrangement with flex-time scheduling in India.
- Regular employment with hands-on AI development, mentorship, learning opportunities, and career growth.
- Opportunity to work on AI-powered transformation projects for global enterprises.
- Values-driven workplace emphasizing integrity, inclusion, collaboration, and innovation.
Tech Stack
Categories
About Genpact
Genpact is a global professional services and technology firm that runs and transforms mission-critical operations for large enterprises through consulting, managed services, and AI- and analytics-driven platforms. It serves industries such as banking, insurance, healthcare, and manufacturing/supply chain, modernizing finance, risk, customer service, and back-office processes. Headquartered in New York and listed on the NYSE (G), Genpact originated within GE before becoming an independent public company.