Agentic AI Software Engineer

Job description

**Role & responsibilities** a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } AI Engineer (Python) **Key Responsibilities** - Design, develop, and deploy AI-powered applications using Python. - Build scalable APIs and microservices using FastAPI. - Develop Agentic AI solutions and Multi-Agent workflows using frameworks such as LangGraph. - Implement tool calling, agent orchestration, and external system integrations. - Design and optimize prompts for LLM-based applications. - Perform LLM evaluation, benchmarking, and performance monitoring. - Develop workflow automation solutions leveraging AI capabilities. - Design and integrate REST APIs and enterprise services. - Deploy and manage AI solutions on AWS cloud platforms. - Utilize Terraform for infrastructure provisioning and management. - Collaborate with cross-functional teams to define and implement AI solution architectures. - Follow best practices for security, scalability, observability, and maintainability. **Required Skills** - Strong proficiency in Python. - Experience with FastAPI and REST API development. - Knowledge of Agentic AI and Multi-Agent frameworks (LangGraph). - Hands-on experience with Tool Calling and AI Agent Integration. - Prompt Engineering for Generative AI applications. - LLM Evaluation and Benchmarking techniques. - AWS Cloud Services. - Terraform (Infrastructure as Code). - AI Solution Architecture. - Workflow Automation and System Integration. **Preferred Skills** - LangChain - RAG (Retrieval-Augmented Generation) - Vector Databases (FAISS, Chroma, Pinecone) - Docker and Kubernetes - CI/CD Pipelines - Git/GitHub - AI Observability and Monitoring - MCP (Model Context Protocol) **Preferred candidate profile**