AI Engineer (LLM & Data Applications)

• Develop LLM-based solutions (RAG, copilots, AI agents) using LangChain/LangGraph/ADK • Build and deploy ML/NLP models integrated into enterprise systems • Design AI agents & workflows (n8n, DataIKU, Copilot Studio) with automation capabilities • Develop APIs/microservices and integrate with platforms (webMethods, React apps) • Implement vector databases, embeddings, and data pipelines • Deploy solutions on on-premise and cloud (Azure) using Docker & Kubernetes • Apply MLOps & secure SDLC practices with monitoring and continuous improvement • Ensure compliance, data privacy, and governance standards • Collaborate with EA, data, security, and business teams • Required Skills • Python, TensorFlow/PyTorch/scikit-learn • LLM frameworks (LangChain, LangGraph), prompt engineering, RAG • Databases: PostgreSQL, MSSQL, Redis, S3 • APIs, microservices, integration platforms • Cloud AI services + containerization (Docker/K8s) • • Data preprocessing & model optimization