Senior AI Engineer

Our client a leading enterprise enterprise is seeking a Senior AI Engineer specializing in Agentic Workflows and LLM Integration. This specialized engineering role sits at the cutting edge of AI innovation commanding an organization-wide mandate to design deploy and own multi-step autonomous agent systems. The successful candidate will build robust backend infrastructures orchestrate tool-calling logic and manage advanced retrieval architectures to deliver resilient production-grade AI applications within an enterprise framework.

• Agent Execution Patterns: Design build and test highly complex multi-step agent workflows utilizing established advanced architectural design patterns such as ReAct planner-executor and complex tool-chaining.
• LLM Core Integration: Integrate flagship Large Language Models (including Anthropic Claude and OpenAI) with legacy enterprise APIs and internal microservices engineering robust fault tolerance for retries edge cases and degraded ecosystem states.
• Orchestration & Failure Resilience: Implement programmatic tool calling function orchestration pipelines and automated compensating actions to guarantee agent workflows remain stable under catastrophic or unexpected third-party failure conditions.
• Human-in-the-Loop Controls: Architect and deploy conditional human-in-the-loop validation frameworks including automated executive approvals smart escalations and exception-handling logic mandated by business governance or risk considerations.

• Context & Memory Architecture: Build and manage advanced agent memory retention layers and data retrieval mechanisms utilizing vector databases and Retrieval-Augmented Generation (RAG) tuning indexing schemas to ensure relevant context.
• Prompt Management: Develop maintain optimize and version-control complex prompt logic semantic routing rules and supporting technical documentation in accordance with strict enterprise engineering standards.

• Cloud Operations: Deploy mission-critical AI services into production cloud environments actively monitoring logs distributed traces and telemetry metrics to rapidly isolate and patch behavioral anomalies.
• Enterprise Governance: Ensure all deployed solutions strictly mirror enterprise-grade security controls identity management requirements and rigorous data governance protocols.
• Reliability Engineering: Partner with QA and Core Operations teams to continually upgrade automated test coverage build out operational runbooks establish incident response protocols and drive system performance optimizations.

• Technical Tenure: Minimum of 4 years of hands-on experience developing backend or service-based software architectures using C# and/or Python.
• AI Specialization: At least 1 year of production-level experience working directly with large language models structured prompt engineering frameworks or agentic AI-enabled systems.
• Analytical Reasoning: Elite debugging skills with a proven capacity to reason across distributed APIs asynchronous data flows and non-deterministic AI system behaviors.

• Programming Ecosystems: Production-grade fluency in C# and/or Python including async workflow patterns service building and automated test frameworks.
• Cloud Platform: Microsoft Azure (encompassing compute scalable storage IAM identity models and automated deployment pipelines).
• LLM Integration & Tooling: Direct integration with Claude and/or OpenAI APIs (handling tool calling prompt tokenization rate limit mitigation and state error handling).
• Agent Orchestration Frameworks: Experience using Azure AI Foundry or Microsoft Agent Framework. Hands-on knowledge of LangGraph or LangChain is highly valued.
• Vector Architectures: Experience with Pinecone or equivalent vector databases (handling structural indexing query retrieval and semantic relevance tuning).
• APIs & Identity: RESTful API design enterprise-grade service authentication and secure service-to-service integrations.
• Observability Suites: Distributed application logging performance metrics tracking and transaction tracing in production scales.

• Containerization deployments utilizing Docker and Azure Container Services (AKS/ACA).
• Experience architecting relational databases (SQL Server) and NoSQL document stores (Azure Cosmos DB).
• Prior experience operating within highly regulated compliance-driven or audit-heavy corporate environments.
• Foundational understanding of emerging AI Governance and AI Security (OWASP Top 10 for LLMs) paradigms.