Software Engineer - Full Stack + AI

Experience : 3 - 5 Years Location : Hyderabad 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. 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 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. Experience : 3 - 5 Years Location : Hyderabad 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. 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 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.