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Llm Developer Jobs in Boston, MA (NOW HIRING)

Slalom Consulting

General Information

Boston, MA · On-site

Description and Requirements LLM Engineer Location: Remote Position Type: Full-Time, Project Based Consultant Start Date: 7/6/2026 Duration : 6 months About Us Slalom is a purpose-led, global ...

Agoda

Technical Product Manager, LLM/ML Domain

Boston, MA · On-site

$181K - $209K/yr

Required : • 5+ years of experience in ML engineering, data science, platform engineering, or a ... with ML Ops and/or LLM Ops concepts (model lifecycle, evaluation, monitoring, versioning ...

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How much do llm developer jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for llm developer in Boston, MA is $54.50, according to ZipRecruiter salary data. Most workers in this role earn between $42.84 and $66.06 per hour, depending on experience, location, and employer.

What is the salary of LLM developer?

The salary of an LLM developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and the complexity of projects. Skilled developers with expertise in machine learning, natural language processing, and relevant tools like Python and TensorFlow tend to earn higher salaries.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI researchers or machine learning executives, often involving advanced skills in deep learning, large language models, and extensive experience. These positions may include leadership responsibilities, require specialized certifications, and offer compensation packages that include salary, bonuses, and stock options. Such roles are usually found in top tech companies or AI-focused organizations and demand a strong track record of innovation and technical expertise.

What does an LLM Developer do?

An LLM Developer designs, fine-tunes, and implements large language models (LLMs) for various applications, such as chatbots, content generation, and AI-driven tools. They work with machine learning frameworks, optimize model performance, and ensure efficient deployment. This role requires expertise in natural language processing (NLP), deep learning, and programming languages like Python.

What are the key skills and qualifications needed to thrive in the Llm Developer position, and why are they important?

To excel as an LLM Developer, you need strong expertise in natural language processing (NLP), deep learning frameworks, and programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with machine learning libraries (like TensorFlow or PyTorch), cloud computing platforms, and experience with prompt engineering or fine-tuning large language models is crucial. Excellent problem-solving abilities, collaboration, and effective communication skills help you design solutions and work efficiently within multidisciplinary teams. These qualifications are essential for successfully building, deploying, and optimizing large language models that drive impactful AI applications.

What engineers make $500,000?

Senior machine learning engineers, including those developing large language models (LLMs), can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning, and work at top tech companies. High compensation often includes base salary, bonuses, and stock options, particularly in competitive markets or leadership roles.

What are the typical daily tasks and responsibilities of an LLM Developer?

As an LLM Developer, your daily responsibilities often include designing, fine-tuning, and evaluating large language models to meet specific application needs. You may work on tasks such as data preprocessing, model training, performance benchmarking, and error analysis, frequently collaborating with data scientists, research engineers, and product managers. Keeping up to date with the latest advancements in NLP and integrating new techniques into production models is also a key part of the role. These tasks are usually performed in a team-oriented environment where clear communication and iterative experimentation are highly valued.

What are LLM developers?

LLM developers are software engineers who design, build, and optimize large language models used in artificial intelligence applications. They typically work with machine learning frameworks, programming languages like Python, and tools such as TensorFlow or PyTorch to develop models for tasks like natural language processing and understanding.
What are popular job titles related to Llm Developer jobs in Boston, MA? For Llm Developer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Llm Developer jobs in Boston, MA look for? The top searched job categories for Llm Developer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Llm Developer jobs? Cities near Boston, MA with the most Llm Developer job openings:
Llm Developer jobs near you

General Information

Slalom Consulting

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 6 days ago

Job description

Description and Requirements
Job Description
LLM Engineer
Location: Remote
Position Type: Full-Time, Project Based Consultant
Start Date: 7/6/2026
Duration: 6 months
About Us
Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six+ countries and 43+ markets, we deeply understand our customers-and their customers-to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 10,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We're honored to be consistently recognized as a great place to work, including being one of Fortune's 100 Best Companies to Work For seven years running. Learn more at Slalom.com.
Overview
The LLM Engineer will join an existing development team to build and ship LLM-powered features in a complex, production application used at scale. This is a hands-on, full-stack role spanning backend services, APIs, and the LLM systems (retrieval, agents, evaluation) that power them. You are expected to work as an agentic engineer-using AI coding tools and autonomous agents to write code, automate workflows, and optimize how the team delivers. You will collaborate with global teams across multiple time zones and own features end to end.
What You'll Do
  • Bring senior-level Python and LLM engineering expertise to the team.
  • Execute both planning and hands-on technical work independently.
  • Collaborate effectively with Product Owners and other stakeholders to solve complex problems.
  • Work cross-functionally to deliver impactful solutions across teams.
  • Continuously develop your technical expertise and stay current with new technologies.
  • Bring curiosity and drive to expand your skills and knowledge.
  • Use a data-driven approach to solve technical challenges and make informed decisions.
  • Apply systems-level thinking that integrates data science and engineering principles.
  • Take full ownership of the features and projects you work on, delivering high-quality solutions independently.

What You'll Bring
  • Hands-on, daily use of AI-assisted and agentic coding tools (e.g., Claude Code, Cursor, GitHub Copilot, autonomous coding agents) to write and refactor code, automate workflows, and optimize engineering processes.
  • Strong experience with Python, particularly in building REST APIs using frameworks like FastAPI.
  • Grounding in NLP and machine learning as they relate to building LLM systems
  • Strong experience working with key LLM models APIs (e.g. OpenAI, Anthropic)
  • Experience building, deploying, and securing MCP servers at scale.
  • Understanding of multi-agent systems and their applications in complex problem-solving scenarios.
  • Designing and implementing RAG systems end to end: vector databases, semantic search, retrieval quality, and chunking strategy.
  • Experience with prompt writing for various use cases
  • Experience with generative solutions released to prod, at scale, beyond POCs
  • Proficiency with server-side events, event-driven architectures, and messaging systems.
  • Strong critical thinking and systems thinking skills, with experience debugging, optimizing, and making sound engineering decisions across complex backend systems, not just solving isolated problems.
  • Solid understanding of security best practices for backend systems, including authentication and data protection.

Nice to Have
  • Strong critical thinking and systems thinking skills, with experience debugging, optimizing, and making sound engineering decisions across complex backend systems, not just solving isolated problems.
  • Solid understanding of security best practices for backend systems, including authentication and data protection.
  • Experience with LLM guardrails
  • Experience with LLM Frameworks (e.g. LangChain, LlamaIndex)
  • Experience with LLM monitoring and observability
  • Experience developing AI/ML technologies within large and business critical applications
  • Building evaluation into LLM systems: eval harnesses, regression suites, LLM-as-judge, and offline/online quality metrics.

Compensation and Benefits
Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses.
Slalom is committed to fair and equitable compensation practices. For this position, the base salary pay range is 85-110/hr. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
EEO and Accommodations
Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration
for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements.
Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the
selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

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