Software Engineer - AI

The core requirements for the job include the following:
Technical Experience:
Professional experience in Python development.
Strong experience with ML libraries: scikit-learn, pandas, NumPy, and matplotlib.
Proficiency in deep learning frameworks (TensorFlow, PyTorch, Keras).
Experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services.
Familiarity with version control systems (Git) and collaborative development.
Experience using CI/CD tools to build and deploy applications to environments.
Web Framework and Backend Experience:
Strong experience with FastAPI for building high-performance APIs.
Proficiency in Django for full-stack web application development.
Understanding of asynchronous programming with asyncio and async/await patterns.
Experience with API design principles, documentation (OpenAPI/Swagger), and testing.
Knowledge of web security practices and authentication mechanisms (JWT, OAuth).
Experience with containerisation technologies (Docker).
Agentic AI and Tools Experience:
Experience with Large Language Models (LLMs) and their integration into applications.
Knowledge of agent frameworks (LangGraph, LangSmith, LangChain, LlamaIndex, AutoGen, CrewAI, or similar).
Experience building AI systems that can use tools and APIs autonomously.
Understanding of prompt engineering, few-shot learning, and in-context learning.
Familiarity with function calling, tool-use patterns, and API orchestration.
Experience with agent memory systems and knowledge retrieval mechanisms.
Build and deploy Model Context Protocol (MCP) servers for tool and resource integration.

Experience
5-9 yrs