Senior Software Engineering Lead - Python Fullstack, FastAPI, GenAI, AI ML
Optum (company site, opens in a new tab)9+ yrsHyderabadOn-siteDirect career pageEst. 30–48 LPA
Posted on 9 Sept
Reach people at Optum
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Optum you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Architect and deliver scalable, cloud-native AI platforms with focus on Python fullstack and Generative AI solutions.
- Lead end-to-end AI service lifecycle including design, development, deployment, performance tuning, and production support.
- Define and enforce AI engineering standards, perform deep performance optimization, and mentor engineering teams.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science or equivalent.
- 9+ years of experience in Python development.
- Proven experience with FastAPI, cloud platforms (GCP, Azure, or AWS), and deploying mission-critical AI workloads.
- Expertise with vector databases, Docker, Kubernetes, GenAI operationalization, and advanced AI concepts like LLMs and multi-agent frameworks.
Ideal Candidate Profile
- Experienced technical leader capable of owning complex AI platform architecture and guiding engineering teams through design and operational challenges.
- Deep expertise in cloud-native technologies with a strong focus on reliability, scalability, and production performance of AI systems.
- Practitioner with hands-on experience in advanced AI/ML systems including multi-agent AI architectures, vector DBs, and prompt engineering.