As an AI Engineer, you will build and deploy GenAI-enabled applications by integrating LLMs into real-world systems. You will work hands‑on across backend services, AI orchestration, APIs, and cloud deployments.
Key Responsibilities
- Build GenAI-powered applications (chatbots, copilots, AI assistants, AI-enabled workflows)
- Integrate LLMs (OpenAI / Azure OpenAI / Anthropic / OSS models) into applications
- Develop backend services using Python / FastAPI / Flask / Node.js
- Implement RAG pipelines using vector databases and embeddings
- Build prompt pipelines, tool calling, and multi-step LLM workflows
- Deploy AI services on Azure / AWS / GCP
- Monitor performance, latency, and cost of GenAI systems
- Work closely with frontend, data,
and cloud teams
Required Skills
- 5+ years overall experience in software / application development
- Strong Python (mandatory)
- Solid backend development experience (APIs, microservices)
- Strong hands-on experience in Generative AI & LLMs
- Experience with:
- LangChain / LangGraph / Similar frameworks
- Vector DBs (Pinecone, FAISS, Weaviate, pgvector)
- Understanding of REST, authentication, and app security
- Experience deploying applications on cloud