ML/AI Developer

Project: Development of production-ready AI, LLM, and agent-based solutions Start Date: As soon as possible English Level: C1 Contract: Through December 31, 2029, with a possibility of extension What We’re Looking For - Minimum 3 years of experience building and maintaining production-level AI applications powered by LLMs. - At least 3 years of practical experience in Agentic Engineering, covering the entire process from solution design and implementation to integration, deployment, and ongoing support of AI agents. - 1+ year of experience developing Tool Calling Loops and connecting APIs, backend services, and enterprise software. - Hands-on expertise in integrating LLM-driven components with deterministic logic, Context Engineering, and Harness Engineering (minimum 1 year). - Solid practical knowledge of MCP and enterprise-level AI integrations. - Background in 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 experience in stakeholder communication. Additional Experience That Would Be Beneficial - Knowledge of AI governance, security, compliance, and data protection practices. - Familiarity with AI monitoring, observability, and evaluation solutions such as Langfuse, Arize, or comparable tools. - 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. Technology Stack LLMs | Generative AI | Agentic AI | AI Agents | Multi-Agent Systems | Tool Calling | MCP | MCP Servers | RAG | Context Engineering | Harness Engineering | Langfuse | Arize | AWS | AI Gateways | Prompt Management | Model Governance | CI/CD | AI Security | Guardrails | Enterprise AI