Full-Stack Developer (AI-Augmented Engineering)
Forcepoint (company site, opens in a new tab)4+ yrsThaneOn-siteDirect career pageEst. 12–20 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain production web applications across frontend, backend, and data layers with AI-native development practices.
- Integrate and extend AI/LLM-powered features and agent frameworks (e.g., LangChain, CrewAI) into product workflows for real user and operational value.
- Own code quality fully by critically reviewing, debugging, refactoring AI-generated and manual code, and collaborating on API and feature scoping under deadlines.
Minimum Requirements
- 4+ years professional full-stack development experience including React frontend and backend languages like Python, Go, or Rust.
- Hands-on experience with at least one agent framework (LangChain, CrewAI, AutoGen) and daily use of AI coding assistants (Claude Code, Cursor, GitHub Copilot).
- Working understanding of LLM concepts including tokens, context windows, embeddings, prompting, and practical model limitations.
- Comfortable with REST APIs, JSON, relational databases, version control (Git), and basic prompt engineering for LLM API usage.
Ideal Candidate Profile
- Experienced in AI-native software development lifecycle, leveraging AI tools throughout planning, coding, testing, and code review.
- Proven ability to critically evaluate AI outputs and fully own the technical correctness and maintenance of AI-augmented code.
- Familiarity or experience shipping LLM-powered features or products, with practical knowledge of integrating agent frameworks into production apps.