Role Summary
We are seeking a Full-Stack AI Engineer with strong hands-on experience in Generative AI, agentic AI systems, and modern web / backend development . This role is perfect for someone who loves to blend AI capabilities with full-stack engineering , building end-to-end GenAI-powered applications that run in production. You’ll work with Azure AI ecosystem (Azure OpenAI, Azure ML, Cognitive Services) and agentic frameworks (LangChain, LlamaIndex, Hugging Face) while also designing scalable APIs, UIs, and integration layers.
You should think like a builder —comfortable with both coding products and orchestrating AI agents , not just tweaking ML models.
Key Responsibilities
1. AI Applications & Agentic Systems
- Design and develop GenAI-powered applications using Azure OpenAI, Azure Cognitive Services, and LangChain / LlamaIndex.
- Build multi-agent architectures for autonomous reasoning, workflow automation, and integrations with enterprise systems.
- Implement RAG pipelines with embeddings, vector databases (Azure AI Search, Pinecone, Weaviate), and APIs.
2. Full-Stack Development
Build backend services and APIs (Python FastAPI / Node.js / Express) to integrate GenAI features into applications.Develop frontend components (React / Next.js, TypeScript) to deliver user-facing AI-powered experiences.Apply best practices in scalable backend systems, event-driven design, and API-first development .3. Azure Deployment
Deploy and manage AI services on Azure AI Foundry, Azure Functions, Kubernetes .Set up CI / CD pipelines , model / service versioning, and monitoring.Ensure production systems are secure, performant, and cost-optimized .4. Collaboration & Impact
Work closely with Product & Engineering teams to translate business use cases into AI-driven features.Provide mentorship to junior engineers on full-stack + GenAI integration.Stay updated on LLM frameworks, orchestration tools, and multi-agent systems .Qualifications & Skills
Experience :
4–7 years in software engineering, with at least 2 years in Generative AI / LLM applications .Proven track record in full-stack development (React / Next.js, Node.js, Python).Hands-on experience with Azure AI (OpenAI, Cognitive Search, Azure ML) .Technical Skills :
Frontend : React / Next.js, TypeScript, Tailwind (or similar).Backend : Python (FastAPI, Flask), Node.js / Express.GenAI : Prompt engineering, embeddings, vector DBs, RAG pipelines, agentic design.Cloud & Infra : Azure services, Docker, Kubernetes, CI / CD pipelines.Soft Skills :
Strong problem-solving with a product-builder mindset .Ability to explain GenAI solutions clearly to both technical and business stakeholders.Comfortable in a startup culture (fast-moving, ownership-driven).Why Join Us?
Work on cutting-edge agentic AI applications with real-world impact in fintech & enterprise ops.Be part of a fast-growing AI startup where you own features end-to-end.Learn and build at the intersection of GenAI + full-stack development .