Senior Software Engineer

Caring. Connecting. Growing Together

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale.

Primary Responsibilities

• Generative AI & Multi-Agent Systems
• Develop and integrate agentic AI systems using frameworks like ReAct, Human-In-the-Loop, and multi-agent orchestration tools
• Collaborate with AI researchers to implement Google ADK, Anthropic MCP, and other cutting-edge agentic AI solutions
• Apply prompt engineering, evaluation frameworks, and observability tools to monitor and improve model performance
• Backend Development & API Design
• Design, develop, and maintain scalable backend systems using Python and FastAPI, with a focus on asynchronous programming for high-performance AI applications
• Implement RESTful APIs and MCP servers to support AI-driven services and multi-agent frameworks
• Cloud Infrastructure & Deployment
• Architect and deploy AI solutions on GCP, Azure, or AWS, ensuring reliability, scalability, and cost-efficiency
• Manage cloud resources, including compute, storage, and networking, tailored for generative AI workloads
• Database Management
• Integrate and optimize vector databases (e.g., Redis, ChromaDB) for semantic search and embedding storage
• Work with SQL and NoSQL databases to support metadata, logging, and auxiliary data needs
• Containerization & Orchestration
• Build applications using Docker
• Deploy and orchestrate services using Kubernetes, ensuring high availability and fault tolerance
• Performance Optimization
• Conduct load testing, profiling, and performance tuning of backend systems to meet latency and throughput requirements
• Implement caching, batching, and parallel processing strategies for efficient AI inference
• DevOps & CI/CD
• Maintain CI/CD pipelines for automated testing, deployment, and rollback
• Ensure smooth integration of new features and models into production environments
• Monitoring & Logging
• Use Splunk and other observability tools to monitor system health, diagnose issues, and ensure uptime
• Implement structured logging and tracing for debugging and analytics
• AI Governance & Ethics
• Ensure compliance with ethical AI practices, including bias mitigation, transparency, and data privacy
• Contribute to the development and enforcement of AI governance frameworks
• Collaboration & Problem Solving
• Work closely with cross-functional teams including data scientists, ML engineers, and product managers
• Tackle complex technical challenges in cloud deployment, backend optimization, and AI integration
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications

• BE/BTECH/MTECH
• Extensive Experience Generative AI in - Agentic AI, LLMs, Google ADK, Anthropic MCP, multi-agent frameworks. Prompt engineering, Evaluation frameworks, Observability
• Extensive experience with Python programming and FastAPI (asynchronous implementation)
• Hands-on experience with Cloud platforms, GCP, Azure, or AWS for deploying AI applications
• Solid proficiency in databases: Knowledge of vector databases (e.g., Redis, ChromaDB) and traditional SQL & NoSQL databases
• Solid understanding of API design principles and experience in integrating third-party APIs
• Proficient in Performance Optimization: Skilled in conducting performance testing and enhancing backend systems for improved efficiency
• Proven solid problem-solving skills and ability to work effectively in a fast-paced, collaborative environment
• Proven excellent communication and interpersonal skills, with the ability to effectively convey technical concepts to both technical and non-technical stakeholders
• Proven ability to work independently and as part of a team, managing multiple priorities and delivering results within deadlines

Preferred Qualifications

• Experience with containerization and orchestration tools like Docker and Kubernetes
• Hands-on experience with DevOps practices, including CI/CD, version control (e.g., Git), and deployment automation
• Experience in Classical ML & Deep learning
• Knowledge of ReAct, Human-in-the-loop etc. frameworks for multi-agent AI systems
• Understanding of ethical AI practices and governance frameworks
• Proficiency in Splunk for logging and diagnostics