AI Software Developer (Hyderabad Onsite) (Immediate Joiners)

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 stable 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 .