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Assistant Llm Developer Jobs in Massachusetts (NOW HIRING)

Agoda

Technical Product Manager, LLM/ML Domain

Boston, MA · On-site

$181K - $209K/yr

... engineering to level up Agoda's platforms to be more compatible with AI coding assistants and ... with ML Ops and/or LLM Ops concepts (model lifecycle, evaluation, monitoring, versioning ...

Lorvenk Technologies LLC

AI Engineer

Boston, MA · On-site

Design, build, and deploy scalable LLM-powered applications, solutions, and digital products for ... Build MCP servers, multi-connectivity enabled and multi-modal Agentic platforms, and AI assistants ...

aPriori Technologies Inc

Senior AI Engineer

Concord, MA · On-site

$114K - $157K/yr

Leverage LLM tooling/APIs such as LangChain and MCP connectors to implement retrieval-augmented ... assistants and agentic workflows. * Partner with Product Management and product teams to translate ...

aPriori Technologies Inc

Senior AI Engineer

Concord, MA · On-site

$114K - $157K/yr

Leverage LLM tooling/APIs such as LangChain and MCP connectors to implement retrieval-augmented ... assistants and agentic workflows. * Partner with Product Management and product teams to translate ...

Deloitte

AI Engineer Consultant

Boston, MA · Hybrid

Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

Brown Brothers Harriman & Co.

Senior AI Engineer

Boston, MA · On-site

$175K - $215K/yr

You'll build and iterate on LLM pipelines, RAG systems, and agentic workflows using Agno; optimize ... Active user of AI coding assistants in daily workflow Nice to Have * Financial services or data ...

Socket.dev

AI Engineer

Mansfield, MA · On-site

$190 - $210/hr

Design, prototype, develop, and test LLM-powered applications, agentic workflows, and predictive ... Consult with and assist our software development and biometrics teams to consume the results of ...

Brown Brothers Harriman & Co.

Senior AI Engineer

Boston, MA · On-site

$175K - $215K/yr

You'll build and iterate on LLM pipelines, RAG systems, and agentic workflows using Agno; optimize ... Active user of AI coding assistants in daily workflow Nice to Have * Financial services or data ...

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Assistant Llm Developer information

What is the difference between Assistant Llm Developer vs Machine Learning Engineer?

AspectAssistant Llm DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; familiarity with NLP and LLMsBachelor's or higher in CS, Data Science, or related; strong ML background
Work EnvironmentTech companies, AI startups, research labsTech firms, AI companies, research institutions
Employer & Industry UsageFocus on developing and fine-tuning language modelsDesigning, building, deploying ML models across domains

Assistant Llm Developers typically focus on developing and fine-tuning language models, often working closely with NLP teams. Machine Learning Engineers have a broader scope, designing and deploying various ML models across industries. Both roles require strong technical skills, but Assistant Llm Developers specialize more in language-specific AI applications.

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The most popular types of Llm Developer jobs in Massachusetts are:

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Assistant Llm Developer jobs near you

Technical Product Manager, LLM/ML Domain

Agoda

Boston, MA • On-site

$181K - $209K/yr

Full-time

Re-posted 2 days ago

Job description

Job Summary:
Agoda is a travel technology company that is part of Booking Holdings, aiming to enhance travel experiences through innovation. They are seeking a Technical Product Manager to lead the development of their ML & LLM Ops platforms, facilitating the production and scaling of machine learning applications while ensuring seamless integration with AI-assisted development workflows.
Responsibilities:
• Define and evolve the product vision and roadmap for Agoda’s ML & LLM Ops platforms
• Shape how teams productionize ML models and LLM-powered applications
• Identify platform gaps, scalability constraints, and optimization opportunities
• Drive the evolution of our platform to support AI-native development workflows and coding agents
• Gather requirements from ML engineers, data scientists, backend engineers, and AI application teams
• Translate complex technical needs into clear product requirements and prioritization frameworks
• Proactively identify opportunities to reduce friction, improve reliability, and increase deployment velocity
• Balance experimentation flexibility with governance, safety, and cost efficiency
• Own features end-to-end: concept, specification, prioritization, implementation, and post-launch analysis
• Partner closely with engineering to balance platform scalability, performance, and technical debt
• Ensure platform capabilities support monitoring, evaluation, retraining, versioning, and observability of ML/LLM systems
• Drive adoption through documentation, training, and internal evangelism
• Collaborate with engineering to level up Agoda’s platforms to be more compatible with AI coding assistants and autonomous agents
• Ensure platform APIs, tooling, and abstractions enable meaningful AI-generated code contributions
• Help define guardrails and workflows that allow safe, reliable AI-assisted development
Qualifications:
Required:
• 5+ years of experience in ML engineering, data science, platform engineering, or a related technical domain
• 2+ years of technical product or program management experience in fast-paced, high-scale environments
• Experience working with ML Ops and/or LLM Ops concepts (model lifecycle, evaluation, monitoring, versioning, deployment pipelines)
• Strong understanding of ML systems and model lifecycle management
• Familiarity with LLM application patterns (RAG, fine-tuning, prompt management, evaluation frameworks, etc.)
• Comfortable discussing architecture, APIs, infrastructure trade-offs, and scalability concerns with senior engineers
• Strong analytical mindset with the ability to reason about system design, performance, and cost trade-offs
• Strong cross-functional leadership skills and ability to influence without authority
• Comfortable operating in ambiguity and rapidly evolving technological landscapes
• Excellent communication skills — able to translate between business, platform engineering, and AI application teams
• Proactive, structured thinker with a strong problem-solving mindset
• High ownership and bias for impact
Company:
Agoda is a digital travel platform that provides access to hotels and holiday properties including flights. It is a sub-organization of Booking Holdings. Founded in 2005, the company is headquartered in Singapore, SGP, with a team of 5001-10000 employees. The company is currently Late Stage.

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