Compunnel, Inc.
We are seeking a highly skilled AI Engineer with strong full-stack Python development experience and a deep understanding of large language models (LLMs), agent orchestration, and cloud infrastructure. The ideal candidate will be responsible for designing and deploying intelligent systems that leverage modern AI frameworks and tools to deliver scalable, context-aware solutions.
Key Responsibilities
Develop full-stack applications using Python frameworks such as FastAPI, Flask, or Django.
Integrate and optimize LLMs (OpenAI, Anthropic, open-source models) with prompt engineering and context-aware strategies.
Design agent workflows using LangGraph and MCP for orchestration and automation.
Implement vector search and Retrieval-Augmented Generation (RAG) pipelines.
Manage session and context strategies for scalable AI interactions.
Deploy AI agents into production systems using cloud platforms (AWS, GCP, Azure).
Utilize Docker for containerization and CI/CD pipelines for continuous deployment.
Collaborate with cross-functional teams to ensure robust and scalable system architecture.
Maintain high standards of code quality, documentation, and performance monitoring.
Required Qualifications
Strong experience in full-stack Python development (FastAPI, Flask, Django). Proficiency in SQL and NoSQL databases. Proven expertise in prompt engineering and LLM integration. Hands-on experience with LangGraph and MCP for agent orchestration. Familiarity with vector search, RAG pipelines, and session/context management. Experience deploying solutions on cloud platforms (AWS, GCP, Azure). Proficiency in Docker, CI/CD pipelines, and distributed systems. Excellent problem-solving, communication, and collaboration skills. Preferred Qualifications
Background in information retrieval, knowledge graphs, or search systems. Experience with front-end development and data visualization tools. Contributions to open-source AI, agent, or LLM frameworks. Familiarity with advanced ML model serving and orchestration platforms.
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Strong experience in full-stack Python development (FastAPI, Flask, Django). Proficiency in SQL and NoSQL databases. Proven expertise in prompt engineering and LLM integration. Hands-on experience with LangGraph and MCP for agent orchestration. Familiarity with vector search, RAG pipelines, and session/context management. Experience deploying solutions on cloud platforms (AWS, GCP, Azure). Proficiency in Docker, CI/CD pipelines, and distributed systems. Excellent problem-solving, communication, and collaboration skills. Preferred Qualifications
Background in information retrieval, knowledge graphs, or search systems. Experience with front-end development and data visualization tools. Contributions to open-source AI, agent, or LLM frameworks. Familiarity with advanced ML model serving and orchestration platforms.
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