Job Description

We are looking for an experienced Python Developer to join our AI engineering team. This role focuses on building and maintaining applications leveraging the Model Context Protocol (MCP), LangChain, and other AI frameworks to develop intelligent, context-aware systems.

The ideal candidate has a solid foundation in Python backend development, with at least five years of experience in software engineering and two or more years in AI-related development, particularly in large language model (LLM) integration, context engineering, and AI system orchestration.

Job Requirements

Key Responsibilities

• Design, develop, and maintain Python-based applications built on FastMCP, LangChain, and similar AI frameworks.
• Develop and maintain RESTful or GraphQL APIs for AI and data-driven systems.
• Build and optimize context engineering pipelines, managing structured and unstructured data for AI reasoning.
• Integrate and orchestrate large language models (LLMs) and context retrieval systems.
• Design context orchestration layers that connect data sources, user states, and knowledge repositories.
• Collaborate with AI researchers and data engineers on context schema design, caching, and retrieval-augmented generation (RAG).
• Ensure software quality through code reviews, testing, and CI/CD integration.
• Deploy and maintain production systems in containerized and cloud environments (Docker, Kubernetes, AWS, Azure).

Required Skills and Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• 5+ years of professional experience in Python development.
• 2+ years of experience in AI, LLM, or LangChain-based development.
• Strong proficiency with Python Web frameworks (e.g., FastAPI, Flask, Django).
• Hands-on experience with LangChain, FastMCP, or equivalent orchestration frameworks.
• Solid understanding of Model Context Protocol (MCP) and context engineering principles.
• Experience working with vector databases (e.g., FAISS, Chroma, Pinecone) and RAG pipelines.
• Proficiency in relational databases, particularly Microsoft SQL Server (MSSQL) and PostgreSQL.
• Strong knowledge of asynchronous programming, API integration, and data serialization (JSON, Protobuf).
• Experience with Docker, Git, and cloud platforms (AWS, Azure, or GCP).

Preferred / Bonus Skills

• Hands-on experience in AI model architecture, fine-tuning, or embedding model optimization.
• Understanding of LangGraph, OpenAI function calling, or agentic framework design.
• Familiarity with MLOps, data pipeline automation, or AI deployment workflows.
• Knowledge of semantic search, context compression, or knowledge graph construction.
• Contributions to open-source AI, LangChain, or MCP-related projects.

What We Offer

• Competitive salary with performance-based bonuses.
• Opportunities to work on cutting-edge AI and context-driven applications.
• A collaborative, innovation-focused working environment.
• Continuous growth and training opportunities in AI systems and context engineering.

Skills