11 hours ago
Bengaluru, IndiaSenior

Responsibilities

  • Design and build AI-powered applications using large language models, agentic AI workflows, and retrieval-augmented generation solutions.
  • Integrate AI services with business applications and external systems while evaluating, optimizing, and monitoring application performance and quality.
  • Build responsive frontend applications and scalable backend services and APIs using reusable, maintainable code.
  • Deploy and manage applications on AWS and other cloud platforms, including CI/CD pipelines, Docker containers, and Kubernetes workloads.
  • Design and manage SQL, NoSQL, and vector databases and ensure secure, compliant data handling.
  • Collaborate with product teams to translate business requirements into technical solutions and implement monitoring, logging, and observability.
  • Drive features independently from design through deployment and build reusable solutions for multiple business teams.

Requirements

  • 6–8 years of software engineering experience.
  • At least 1–2 years of practical Generative AI experience.
  • Strong Python, React, and cloud experience with proven production deployments.
  • Ability to work independently across the full technology stack.
  • Strong understanding of LLMs, prompt engineering, RAG, and agentic AI concepts.
  • Hands-on experience with LangGraph, LangChain, or LlamaIndex.
  • Experience integrating AI models through OpenAI, Anthropic, Amazon Bedrock, Azure OpenAI, or equivalent services.
  • Working knowledge of vector databases and semantic search.
  • Experience building APIs with FastAPI, Flask, or similar frameworks and understanding of microservices architecture and API design.
  • Practical experience with React and TypeScript for modern responsive user interfaces.
  • Hands-on experience with AWS, Docker, Kubernetes, and CI/CD tools such as GitHub Actions, Jenkins, or GitLab.
  • Knowledge of relational databases such as PostgreSQL, MySQL, or SQL Server; NoSQL and vector database experience is preferred.
  • Preferred experience includes enterprise AI copilots or intelligent assistants, Model Context Protocol, AI tool integrations, Microsoft Teams, Jira, ServiceNow, and AI observability, evaluation, or monitoring frameworks.

Benefits

  • The role offers 0%–10% travel.
  • The position does not support sponsorship.

Tech Stack

AWSDockerFastAPIFlaskGitHub ActionsJenkinsKubernetesMicrosoft SQL ServerMySQLPostgreSQLPythonReactTypeScript
Eli Lilly and Company

About Eli Lilly and Company

10,000+ employees

Eli Lilly and Company researches, develops, manufactures, and markets prescription medicines and biologics for patients, sold through healthcare providers, pharmacies, and payers. Core therapeutic areas include diabetes, oncology, immunology, neuroscience, and obesity. Founded in 1876 and headquartered in Indianapolis, it is a public company (NYSE: LLY) with global operations and is building a new advanced manufacturing site for gene therapy and other modalities in Lebanon, Indiana.

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