LLM Full Stack Engineer

Project Role : LLM Full Stack Engineer

Project Role Description : Develop and integrate applications with Large Language Models (LLMs) and other enterprise services. Leverage front-end and server-side technologies to develop APIs, implement DevOps practices, and optimize Artificial Intelligence (AI) applications.

Must have skills : Large Language Models (LLMs), React.js, Prompt Engineering, Generative AI

Good to have skills : NA

Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an LLM Full Stack Engineer, a typical day involves designing and building applications that seamlessly integrate with Large Language Models and various enterprise services. The role requires balancing front-end and back-end development tasks, creating robust application programming interfaces, and ensuring smooth deployment through DevOps methodologies. The engineer collaborates with cross-functional teams to enhance the performance and scalability of artificial intelligence solutions, continuously refining systems to meet evolving business needs and technological advancements. Roles & Responsibilities:

• Expected to be an SME, collaborate and manage the team to perform.
• Responsible for team decisions.
• Engage with multiple teams and contribute on key decisions.
• Provide solutions to problems for their immediate team and across multiple teams.
• Lead the design and implementation of scalable AI-driven applications that leverage Large Language Models.
• Facilitate knowledge sharing and mentorship within the team to foster professional growth.
• Coordinate with stakeholders to align technical solutions with business objectives. Professional & Technical Skills:
• Software engineering 6+ years with Python building production services.
• Proven delivery of LLM/GenAI systems: prompts, tool/function calling, RAG pipelines, and multi-agent orchestration.
• Backend expertise: FastAPI/Django, async programming, testing (pytest), and performance profiling.
• Frontend proficiency: React/Next.js, TypeScript, state management (Redux/RTK/Zustand), and component testing (Jest/RTL/Cypress).
• Retrieval: embeddings and indexing, vector DBs, query/rerank strategies, and data governance basics.
• DevOps: CI/CD, Docker, basic Kubernetes (deployments, secrets, config), monitoring (App Insights/Prometheus/Grafana).
• Strong API design, security (OAuth2/OIDC, JWT, RBAC), and observability skills.
• Azure AI/OpenAI experience Azure AI Studio, Cognitive Search, Key Vault, Purview, Event Hubs.
• Experience with LangGraph, AutoGen, CrewAI, Semantic Kernel planners/memory/skills.
• Knowledge of document pipelines (pdf/images/OCR), rerankers, and safety tooling.
• Experience with feature stores / ML inference, or streaming (Kafka/Event Hubs).
• Performance/load testing (Locust/Gatling/JMeter) and cost governance for LLM workloads.
• Must To Have Skills:
• Proficiency in Large Language Models (LLMs), Generative AI, Prompt Engineering, React.js.
• Strong experience in developing and integrating APIs for AI applications.
• Familiarity with front-end frameworks and server-side technologies to build full stack solutions.
• Understanding of DevOps practices to automate deployment and monitoring of AI systems.
• Ability to optimize AI models and applications for performance and scalability.
• Experience working with cloud platforms and containerization technologies. Additional Information:
• The candidate should have minimum 6 years of experience in Large Language Models (LLMs).
• This position is based at our Pune office.
• A 15 years full time education is required.