Ml​/ai developer

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• At least 3 years of experience building and maintaining production-level AI applications powered by LLMs
• At least 3 years of practical experience in Agentic Engineering, from solution design and implementation to integration, deployment, and ongoing support of AI agents
• At Least 1 year of experience developing Tool Calling Loops and connecting APIs, backend services, and enterprise software
• At Least 1 year hands-on experience integrating LLM-driven components with deterministic logic, Context Engineering, and Harness Engineering Solid practical knowledge of MCP and enterprise-level AI integrations
• Experience with RAG-based solutions and LLM application development
• Ability to manage the complete AI development cycle, including architecture, implementation, testing, deployment, and production operations
• Excellent communication skills when collaborating with engineering teams and business stakeholders
• At least 2 relevant project references showcasing stakeholder communication

• knowledge of AI governance, security, compliance, and data protection practices
• familiarity with AI monitoring, observability, and evaluation solutions such as Langfuse or Arize
• experience with enterprise AI ecosystems, AI gateways, prompt lifecycle management, and model governance
• understanding of multi-agent system design and agent orchestration
• 2+ years of practical RAG experience
• 2+ years of building, designing, or maintaining MCP servers
• familiarity with AWS and AWS Kiro
• experience implementing AI guardrails and security controls
• knowledge of CI/CD pipelines and automated testing practices

Contract through December 31, 2029, with a possibility of extension

Start date:

As soon as possible