Senior GenAI & Multi-Agent Systems Engineer

RXinsider LTD.; Wilmington (MA); On-site; USD 175,000 - 216,000; Full time

Job summary

TraceLink in Wilmington, MA is seeking an Applied Scientist to lead GenAI and ML systems design and deployment. You will build, iterate, and ship production-grade multi-agent architectures in cloud environments, focusing on LLM/SLM optimization and agent coordination.

The role emphasizes hands-on work across model fine-tuning, RAG pipelines, and tool integration, with strong collaboration across platform and product engineering. A senior, production-focused ML background is expected.

Qualifications

• Extensive experience with multi-agent system design and production ML.
• Proven ability to translate requirements into architectures and metrics.
• Experience with LLM/SLM optimization and cloud deployment.
• Experience with vector databases and retrieval pipelines.
• Hands-on inference optimization and model routing.

Responsibilities

• Own building, shipping multi-agent systems from prototype to production.
• Develop production-quality orchestration, memory design, and context management.
• Lead context engineering for coordination across agents.
• Fine-tune and deploy SLM models for production usage.
• Build end-to-end RAG pipelines including embeddings and retrieval.
• Collaborate with engineering to ensure scalable, secure cloud-native solutions.

Skills

Context engineering

Fine-tuning SLMs

Advanced RAG

Vector DB retrieval

Production Python

Cloud deployment

Education

MS/PhD in CS/ML/NLP/Stats

Tools

Python

AWS/Azure/GCP

Docker

Kubernetes

Job description

TraceLink in Wilmington, MA is seeking an Applied Scientist to lead GenAI and ML systems design and deployment. You will build, iterate, and ship production-grade multi-agent architectures in cloud environments, focusing on LLM/SLM optimization and agent coordination.

The role emphasizes hands-on work across model fine-tuning, RAG pipelines, and tool integration, with strong collaboration across platform and product engineering. A senior, production-focused ML background is expected.