We are seeking a Senior Software Engineer to join our Platform Engineering team in Hyderabad. This is a senior full-stack individual contributor role responsible for designing, building, and delivering scalable services, features, and user experiences across our platform. The role requires hands-on development using Python, C#, Angular, AWS cloud services, and modern AI technologies. As a senior engineer, you will own technical design decisions, evaluate trade-offs, mentor engineers, and contribute to AI Governance capabilities across explainability, observability, and prevention domains.
- Design and build production services in Python, C#, and related service technologies.
- Develop corresponding front-end functionality using Angular
- Build and integrate features using AWS services such as Bedrock, SageMaker, Lambda, and EKS.
- Integrate LLM-backed capabilities using the Anthropic Claude API, Model Context Protocol, and related platform services
- Contribute to AI Governance capabilities across explain, observe, and prevent areas, moving between whichever capability the initiative needs at a given stage
- Own the design of features and components within the assigned area, proposing implementation approach, alternatives, and trade-offs
- Mentor Engineers, review their code and designs, and help raise overall engineering quality.
- Participate in effort estimation and challenge estimates, scope, dependencies, or technical direction where warranted
- Strong, demonstrated engineering experience shipping production software
- Proficiency in Python, with hands-on experience or working proficiency in C#, and PostgreSQL.
- Full-stack proficiency, including Angular
- Hands-on experience using an AI coding tool in daily development work, such as Claude Code, AWS Kiro, OpenAI Codex, or a comparable AI-assisted coding tool
- Working knowledge of AWS services, including Bedrock, SageMaker, Lambda, and EKS
- Demonstrable exposure to LangChain, LangGraph, or a comparable agentic framework, with evidence of having built with one
- Comfort designing a solution from a problem statement, not only implementing a fully specified design
- Baseline AI literacy, including understanding how AI works, where it can go wrong, where it is useful, and how to direct it effectively
- Ability to evaluate AI-generated outputs before relying on them and use AI-assisted tools responsibly within team standards and review processes
- Direct experience with the Anthropic Claude API and Model Context Protocol
- Prior work on systems with explainability, observability, or guardrail requirements
- Experience designing and delivering LLM-backed products, APIs, or AI-enabled production services
- Experience guiding engineering trade-offs, reviewing technical designs, and mentoring engineers in full-stack product delivery.