AI/ML Engineer Multi-Agent Data Analytics Platform
Harnham
AI/ML Engineer - Multi-Agent Data Analytics Platform Harnham, the leading recruitment specialist in Data and AI, is currently partnering with a leading DTC Media Streaming firm that operates across the US.
- Role - ML/AI Engineer
- Location - Remote
- Pay - $70 - 80 per hour W2 ONLY
- Length - 6 months
- Utilization - 40 hours per week
- Benefits - 401K Match, Medical, Dentistry
- Design and implement multi-agent workflows (planner/executor patterns, tool-calling, routing, memory, and handoff between specialized agents)
- Build and maintain tools agents rely on, including SQL generation and validation, data connectors, retrieval pipelines, visualization, and result verification
- Develop evaluation frameworks such as offline test suites, golden datasets, LLM-as-judge grading, and regression tracking
- Optimize system performance across latency, cost, throughput, and failure handling
- Implement observability through tracing, logging, and monitoring for debuggability and auditability
- Collaborate with cross-functional teams to define correctness in analytics queries and encode it into the system
- Stay current with LLM and agent tooling and make pragmatic build vs. buy decisions
- 5+ years of software engineering experience, including 2+ years building ML/AI or LLM-powered production systems
- Strong Python skills and experience with modern LLM frameworks (e.g., LangGraph or OpenAI Agent SDK)
- Experience with tool/function calling, RAG, prompt design, and agent-based architectures
- Hands-on experience with evaluation frameworks and observability tools for LLM systems
- Experience with vector databases and retrieval optimization
- Experience optimizing LLM systems for cost and latency (e.g., caching, batching, model routing)
- Strong data fundamentals including SQL and experience with data warehouses/lakehouses
- Strong communication skills and ability to translate ambiguous business questions into technical solutions
Vacancy posted 3 days ago
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