Software Engineer - Artificial Intelligence

Description

The core requirements for the job include the following :

Technical Experience :

- 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.