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Closed on September 20, 2026.
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Senior Machine Learning Engineer
Senior
Agentic Ai
Ai Agent
Ai Ml
Artificial Intelligence
Data Platform
Generative AI
Information Retrieval
Kubernetes
Llm Applications
Machine Learning Engineer
Machine Learning Infrastructure
Machine Learning Pipelines
Platform Engineering
Rag Systems
Vector Search
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Job Description
A Senior Machine Learning Engineer role in Boston (hybrid) focused on designing scalable AI platforms and production-ready autonomous, agent-based systems.
Responsibilities
- Highly hands-on engineering role driving day-to-day ML and AI development
- Create, productionize, and maintain advanced AI and ML capabilities for enterprise research applications
- Architect and improve distributed machine learning services and other scalable platform components
- Build agentic applications, semantic retrieval pipelines, and orchestration frameworks that support them
- Collaborate with software, platform, and security teams to deliver AI systems that are dependable, secure, and high-performing
Requirements
- Deep knowledge of machine learning systems and autonomous agent design
- Hands-on experience building LLM applications and retrieval-augmented generation (RAG) solutions
- Practical experience working with vector search technologies and vector data stores
- Familiarity with production ML operations, including monitoring and deployment practices
- Strong Python development skills
- Working knowledge of AWS infrastructure and Kubernetes environments
Key Technologies
- Python
- AWS
- Kubernetes
- Vector search technologies and vector data stores
- LLM applications
- Retrieval-augmented generation (RAG)
- Large language model applications
Education
- Bachelor’s degree or higher in computer science, engineering, data science, or a related discipline
Benefits
- Comprehensive medical coverage
- Dental insurance
- Vision insurance
- Paid vacation and personal time
- 401(k) retirement plan with employer match, where offered
- Performance-based bonus eligibility
Preferred Background
- Experience building software for legal technology, compliance, financial services, or another regulated domain
- At least 12 years of software engineering experience, or 8 or more years combined with a PhD
Location & Work Authorization
- Boston, MA (hybrid schedule)
- Candidates must be authorized to work full-time in the United States both now and in the future
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