Senior ML Engineer: Production Multi-Agent Systems

Transcarent; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

Transcarent is seeking a Senior ML Engineer to design, build, and evaluate production-grade multi-agentic systems guiding high-stakes conversations.

You will own context engineering, tool-calling interfaces, and retrieval pipelines, balancing quality, latency, and cost across providers while ensuring safety and rigorous evaluation.

Collaborating with cross-functional teams, you’ll document designs and drive measurable improvements in model reliability and user safety.

Qualifications

• Bachelor's or master's degree in data science, ML engineering, or related field, or equivalent practical experience.
• 5+ years of professional Data Science/ML engineering experience.
• Strong applied experience building LLM-powered agents in production—multi-turn agentic systems.
• Hands-on experience with agent orchestration frameworks—stateful graphs, tool use, and conditional routing.
• Deep understanding of context engineering and tool/calling design for reliable agent behavior.
• Practical RAG experience—embeddings, vector search, and retrieval-quality tuning.
• Fluency with LLM model selection and tuning across providers.
• Experience designing LLM evaluation— offline eval, graders, test sets, metrics, and quality gates.
• Comfort with agent observability and tracing.
• Strong Python skills as applied to ML/agent work.

Responsibilities

• Design and orchestrate multi-agentic workflows.
• Own context engineering for production agents, including system design, safety rules, context injection, and clarifying question strategies.
• Design tools and function-calling interfaces, so agents take reliable, well-structured actions.
• Build and tune retrieval (RAG) pipelines— embeddings, vector search, filtering, query rewriting, and relevance tuning.
• Select and optimize models across providers, balance quality, latency, determinism, and cost.
• Design agent memory and context management for coherent multi-turn behavior.
• Build safety and guardrail layers for input filtering, scope and safety checks, and graceful handling of edge cases.
• Own LLM evaluation, offline eval suites, graders/LLM-as-judge, test sets and personas, metrics, and quality gates.
• Collaborate with cross-functional stakeholders on requirements, project execution and status tracking.
• Meta technical responsibility: Document high-fidelity technical designs, establish alignment on solutions within broader engineering team.

Skills

Python

LLM engineering

Agent orchestration

Context engineering

Tool calling design

RAG pipelines

Model selection

LLM evaluation

Observability

Cross-functional collaboration

Education

Bachelor's or master's in data science / ML engineering

Tools

LangChain

Job description

Transcarent is seeking a Senior ML Engineer to design, build, and evaluate production-grade multi-agentic systems guiding high-stakes conversations.

You will own context engineering, tool-calling interfaces, and retrieval pipelines, balancing quality, latency, and cost across providers while ensuring safety and rigorous evaluation.

Collaborating with cross-functional teams, you’ll document designs and drive measurable improvements in model reliability and user safety.