Fullstack AI Engineer

About the job:We're hiring a Full-Stack AI Engineer to build and ship production software and AI systems across real client and internal use cases. You'll work across frontend, backend, databases, APIs, and AI systems, with the flexibility to specialize more deeply in areas such as AI, backend, or frontend.

This is a full-time, work-from-office role in Hyderabad.

About us:We're a new age tech & business services company. We're HQ'ed in Hyderabad with clients across the world. Find out more about us at https://www.linkedin.com/company/gitforce

What You'll DoTL;DR: Build end-to-end software products using modern frontend, backend, cloud, and AI technologies.

• Build and ship full-stack product features across frontend, backend, databases, APIs, and AI systems
• Build modern frontend applications using React, Next.js, or similar
• Build backend services and APIs in Python using FastAPI, Flask, or similar
• Work with SQL and PostgreSQL databases
• Build AI-powered applications using LLM APIs such as OpenAI, Anthropic, Google, and open-source models
• Build RAG pipelines using embeddings, retrieval, reranking, and vector databases
• Develop AI agents, tool-calling workflows, and multi-step LLM systems
• Integrate applications with APIs, databases, and third-party services
• Deploy, monitor, debug, and improve applications in production
• Work closely with product, engineering, founders, and client teams to translate requirements into technical solutions

QualificationsTL;DR: Strong software engineering fundamentals, Python, full-stack development experience, and hands-on experience building AI-powered applications.

You Are:

• 2 to 5 years into your engineering career as a professional
• Strong in at least one area such as AI, backend, or frontend engineering
• Comfortable working across the stack when needed
• Someone who enjoys building complete products, not just isolated components
• Comfortable learning new frameworks and technologies quickly
• Someone who cares about building reliable production systemsMust-haves:
• Strong Python programming skills
• Experience building backend applications, services, or APIs in Python
• Experience with React, Next.js, JavaScript, or TypeScript
• Working knowledge of SQL and PostgreSQL
• Hands-on experience working with LLM APIs
• Understanding of RAG, embeddings, retrieval, and vector databases
• Experience with prompt engineering, structured outputs, and tool calling
• Good understanding of APIs, software architecture, Git, testing, and production engineering fundamentals
• Strong problem-solving and communication skillsNice-to-haves:
• Experience with LangChain, LlamaIndex, LangGraph, CrewAI, or similar
• Experience building AI agents or agentic workflows
• Experience with Pinecone, pgvector, Weaviate, Qdrant, Chroma, or similar
• Experience with LLM evaluation, observability, tracing, or monitoring
• Experience with AWS, GCP, or Azure
• Docker, CI/CD, and production deployment experience
• Experience with Redis, queues, asynchronous processing, or distributed systems