Software Engineer - Full Stack + AI
Navsan
Hyderabad, Telangana, IndiaSENIOR
AI/MLFull StackLLMMulti-Agent SystemsCloud Computing
Job Description
Software Engineer — AI & Full Stack with 3–5 years of experience shipping software in small, fast-moving teams. Hands-on experience building with LLMs in production including token mechanics, context windows, prompt design, API management, and cost control.
Responsibilities
- Build and maintain LLM pipelines and multi-agent workflows using LangGraph, from architecture through to production.
- Integrate LLM provider APIs — managing prompt versioning, token budgets, rate limits, and inference costs.
- Own full stack features end-to-end: UI, API, infrastructure, and data layer.
- Work on 0-to-1 product development — features go from concept to production with minimal hand-holding.
- Manage deployments and infrastructure on Microsoft Azure and cloud edge platforms.
- Review intern code — catching bugs and anti-patterns and turning every review into a learning opportunity.
- Guide junior developers through debugging and architectural decisions without creating dependency.
- Set and enforce Git workflows and coding standards across the team.
- Contribute to architecture discussions, surface risks early, and flag compliance concerns around audio, video, and personal data.
Qualifications
- Location : Hyderabad
- Software Engineer — AI & Full Stack
- 3–5 years of experience shipping software in small, fast-moving teams — end-to-end ownership, not just feature contributions.
- Hands-on experience building with LLMs in production — token mechanics, context windows, prompt design, API management, and cost control.
- Proficiency with LangGraph for multi-agent orchestration. LangChain or equivalent is a plus.
- Full stack capability: React or Next.js frontend; Node.js and/or Python backend.
- Strong GitHub fluency — branching, code review, CI/CD, and clean commit discipline.
- Working knowledge of Microsoft Azure — deployments, storage, compute, and Azure OpenAI.
- Comfortable integrating third-party APIs and managing cloud infrastructure (object storage, queuing, database-as-a-service, edge deployment).
- Bachelor's in Computer Science or Engineering, or equivalent demonstrable experience.
- A hands-on experience on fine tuning the LLM models.
- Familiarity with RAG, vector databases, or semantic search.
- Understanding of agentic AI design patterns and multi-agent architectures.
- Exposure to GDPR or sensitive data handling in production.
- Prior experience mentoring junior developers or conducting structured code reviews.
Nice to have
- Familiarity with RAG, vector databases, or semantic search
- Understanding of agentic AI design patterns and multi-agent architectures
- Exposure to GDPR or sensitive data handling in production
- Prior experience mentoring junior developers or conducting structured code reviews