AI Engineer with machine learning expertise

Must have: - Proven experience in developing agentic AI solutions, specifically LLM tool integration and function execution in multi-step workflows. • Strong background in data handling across structured and unstructured formats, including data modeling and collaboration with analytics teams. • Demonstrated proficiency in implementing retrieval-augmented generation (RAG) in production or nearly production scenarios, covering all aspects from ingestion to grounding. • Solid foundation in backend engineering principles, including API development, service design, and reliability mechanisms. • Proficient in Python or another backend programming language such as Java, Go, or TypeScript, with strong software engineering practices like testing and continuous integration/deployment.

: - Develop AI agents that can plan and carry out business workflows involving multiple actions, including understanding inquiries, retrieving relevant context, executing tasks, confirming results, and documenting outcomes. • Convert vague business challenges into consistent agent workflows utilizing tool functions, orchestration logic, and structured outputs. • Design and implement RAG pipelines that effectively manage both structured and unstructured data, prioritizing quality retrieval and regulatory adherence. • Establish database lookup strategies using AI that comprise semantic searches, metadata filters, and corporate rules. • Connect agents to backend services through APIs and microservices, ensuring secure and reliable endpoints with auditing features. • Collaborate closely with data and platform teams to facilitate scalable and regulated access to data, considering aspects like caching, access controls, and performance logging. • Evaluate and suggest agent and RAG toolsets, executing implementations in production-grade architectures. • Set up observability measures that encompass tracing, evaluation frameworks, and drift monitoring for enhancing quality and performance. • Implement safety measures against prompt injection, output validation, and handling of personal identifiable information in line with responsible AI standards. • Define quality thresholds and fallback mechanisms to ensure agents operate safely and reliably. Company: We are looking for a talented AI-focused engineer to join our remote team, dedicated to building advanced backend services and AI agents that streamline end-to-end business workflows. Our organization offers an attractive