Software Engineer AI &

- Full Stack Required Qualifications - 35 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.

Preferred Skills - 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.

Success

Metrics - Features shipped on time with production-quality code and no critical regressions.

- Measurable improvement in intern code quality over time fewer bugs, cleaner commits, better structure.
- LLM integrations perform reliably reliable costs, correct token usage, consistent API behaviour.
- Git workflows followed consistently across the team.




- Zero critical data handling incidents.

You Will Thrive Here If

You - Have owned features from blank file to production not just contributed to someone else's codebase.

- Have used LLMs in production and understand where they break.
- See mentoring interns as part of the job, not a distraction from it.
- Prefer high-trust small teams where your decisions are visible.

This Role Is Not For You

If - You need established processes and clearly scoped tickets to do your best work.

- You want to step back from hands-on building.
- You are more comfortable reviewing architecture decisions than making them.

Responsibilities AI &

- Product Development - 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. Mentorship &
- Team Quality - Review intern code catching bugs and anti-patterns and turning every review into a learning prospect.
- 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. Top of Form Bottom of Form .

📌 AI Software Developer (Hyderabad Onsite) (Immediate Joiners)
🏢 Navsan
📍 Hyderabad