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 GitLab. Optimize prompts, memory systems, context handling, and agent decision-making. Research and prototype emerging agentic AI techniques and frameworks. Requirements 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 LangChain. 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 GitLab. 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. #J-18808-Ljbffr Jobtailor