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Senior Lead Machine Learning Engineer, Agentic AI
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AI Infrastructure
About the Role
Upwork (Nasdaq: UPWK) is establishing its first international operational hub in Lisbon, Portugal, with the new office expected to be fully operational by Q4 2026. They are seeking a Senior Lead Machine Learning Engineer to architect, ship, and scale the next generation of agentic intelligence.
Key Responsibilities:
- Agentic Intelligence Development - Design multi-agent systems with planning, tool-use, memory, and reflection capabilities; implement protocol-aware agents compatible with frameworks like MCP
- LLM Training & Evaluation - Lead data curation and model adaptation (SFT, DPO, RLHF); build evaluation frameworks measuring success rates, latency, and hallucination metrics
- Platform Infrastructure - Architect low-latency services for inference and orchestration; ship production APIs/SDKs with strong SLOs and cost optimization; optimize through quantization and model routing
- Technical Leadership - Mentor senior engineers, influence roadmaps, publish guidance and reference architectures; define KPIs and drive cross-functional collaboration
Requirements:
- 8-12+ years applied ML/ML systems; 4+ years building LLM products with production agentic workflows
- Hands-on mastery of LLM adaptation (prompting, tool/function calling), data curation, and safety/guardrails
- Strong distributed systems fundamentals and microservices experience
- Python fluency; Go/Java/JavaScript proficiency a plus
- Experience designing evaluation suites with task-based and rubric-based metrics
- Cross-functional leadership and mentoring track record
- Expertise in agent frameworks (e.g., MCP protocol)
Employment Note: Initially contracted through a partner pending Lisbon hub establishment (Q4 2026), with potential direct employment transition afterward.
Published: February 3, 2026.
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