AI Developer

Responsibilities

• Design and develop autonomous AI agents capable of reasoning, planning, and executing tasks independently.
• Build and orchestrate multi-agent workflows using modern AI frameworks and tooling.
• Develop AI-enabled applications using large language models and retrieval-augmented generation (RAG) architectures.
• Integrate AI agents with APIs, databases, enterprise systems, and external services.
• Build conversational and human-in-the-loop interfaces for AI systems.
• Develop observability, tracing, and evaluation pipelines for AI workflows and agent performance.
• Containerize and deploy AI applications using Docker-based infrastructure.
• Collaborate with software engineers, cybersecurity teams, researchers, and stakeholders to deliver scalable AI capabilities.
• Maintain CI/CD pipelines and source control workflows using Git Lab.
• Optimize prompts, memory systems, context handling, and agent decision-making.
• Research and prototype emerging agentic AI techniques and frameworks.

• Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, or related field (or equivalent experience).
• 3+ years of software development experience.
• Strong Python development experience.
• Experience developing applications with large language models (LLMs).
• Experience building AI applications using Lang Chain.
• Experience with AI observability and tracing tools such as Langfuse.
• Experience developing conversational AI interfaces using Chainlit.
• Experience with containerization technologies such as Docker.
• Experience managing repositories and CI/CD workflows using Git Lab.
• Familiarity with REST APIs, vector databases, and modern backend architectures.
• Strong understanding of prompt engineering, RAG pipelines, and agent orchestration concepts.
• Strong communication and problem-solving skills.