Senior Agentic AI Engineer (W2-Requirement) - Need 10+ years candidates

Role: Senior Agentic AI Engineer (W2-Requirement)  (Need 10+ years of experienced candidates)

Location: Denver, CO (On-site)

Duration: Long term

Job Description:

Client is seeking a skilled and innovative Senior Agentic AI Engineer to join our AI team. In this role, you will design, build, and bring to production enterprise-grade AI solutions and autonomous multi-agent systems. You will play a key role in developing scalable generative AI products that move completely past experimental proof-of-concepts (POCs) to drive measurable business impact.

In this role, you will work closely with Technical Architects, Product Owners and data scientists to translate complex workflows into resilient, production-ready architectures. The ideal candidate combines robust software engineering foundations, a deep understanding of standard agentic communication protocols, and hands-on experience with modern orchestration frameworks to shape the next generation of digital experiences at Client.

Join us in leveraging advanced agentic AI techniques to revolutionize the entertainment industry. Be a key player in developing autonomous, production-ready solutions that will shape the future of digital entertainment experiences through the power of cutting-edge AI engineering.

Primary Responsibilities:

• Design, develop, and deploy autonomous AI services and multi-agent workflows from initial concept tofull enterprise production.
• Implement open communication protocol integrations with MCP for agent-to-tool integration and A2A for secure agent-to-agent coordination and task delegation.
• Architect hybrid control flows, state machines, and graphs to manage multi-step reasoning, balancing probabilistic LLM behavior with deterministic code paths for critical backend transactions.
• Integrate secure tool execution environments, utilizing sandboxed execution contexts and strict egress controls to ensure runtime safety.
• Collaborate with cross-functional teams to translate business requirements into technical agent specifications and scalable microservices.
• Apply SRE principles to agent behavior, establishing robust fallback mechanisms, circuit breakers, and detailed audit trails to ensure system observability and reliability.

Requirements:

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field.
• 5+ years of experience in software development or data science, with a proven track record of shipping LLM-powered systems into live production environments.
• Advanced coding skills in Python, with a deep understanding of backend frameworks (e.g., FastAPI, Flask) and distributed microservices architecture.
• Hands-on experience with cloud-based foundation model platforms, specifically AWS Bedrock (or enterprise equivalents like Azure OpenAI or Google Cloud Platform Vertex AI).
• Experience with agent interoperability and communication standards, including Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocol design.
• Familiarity with containerization, CI/CD pipelines, and cloud infra (e.g., Docker, EKS, GitLab CI/CD)