AI Platform Engineer Jobs in Massachusetts
AI Platform Engineer jobs in Massachusetts are among the most active in the country, concentrated in life sciences technology, financial services, and enterprise software, with openings from junior MLOps roles through principal-level platform architects. The deepest hiring activity is in Greater Boston, Cambridge, and the Route 128 corridor, where employers like MathWorks, Biogen, and Fidelity Investments maintain large engineering organizations that depend on scalable AI infrastructure. The most in-demand specialties are LLM deployment pipelines, cloud-native ML platform development, and AI observability tooling. Find a role that fits below and apply directly.
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About Us
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About The Role:
We’re looking to add a frontend engineer to develop and enhance new features on LangSmith, working on our enterprise platform product for LLM application observability, testing, and debugging.
- This role can be based in our San Francisco, New York, or Boston office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. >1hr each way), may be eligible for hybrid arrangements depending on location and role requirements.
What You Will Do:
Develop new user-facing features using React & Typescript
Build reusable components and front-end libraries for future use
Translate designs and wireframes into high-quality code
Optimize components for maximum performance across a vast array of web-capable devices and browsers
Collaborate with fullstack and backend developers and UX/UI designers, to enhance usability
What You Will Bring:
2+ years of Front-end engineering experience with strong proficiency in React, JavaScript and TypeScript
Hands-on experience with front-end development tools like Babel, Vite, Webpack, NPM, and Yarn
Familiarity with REST APIs and experience working closely with fullstack and backend engineers
Knowledge of modern authorization mechanisms, such as JWTs
A passion for user experience, design and building clean, engaging, and intuitive interfaces
Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders
The DNA to thrive in a start-up, fast-paced environment. Views unstructured environments as an opportunity to figure out the most impactful work and help define the future success of the company
An ownership mind-set. You are self-driven and look for opportunities to make an impact.
Strong computer science fundamentals, ideally with a degree in computer science or related field
Compensation
Annual salary range: $160,000-$195,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
See All 29 AI Platform Engineer Jobs in Massachusetts
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Find AI Platform Engineer JobsAI Platform Engineer Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
AI Platform Engineer Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
- Insurance
- Healthcare & Medical Services
- Retail
What Massachusetts Employers Look For
The qualifications that appear most often in AI platform engineer jobs across Massachusetts.
- Bachelor's or master's degree in computer science, engineering, or a related technical field
- Hands-on experience building and operating ML platforms using Kubernetes, Kubeflow, or MLflow
- Proficiency in Python and infrastructure-as-code tools such as Terraform or Pulumi
- Experience deploying and monitoring models on AWS, Azure, or Google Cloud at production scale
- Familiarity with data pipeline orchestration tools including Apache Airflow or Prefect
- Strong collaboration skills working across data science, platform engineering, and product teams
AI Platform Engineer Jobs in Massachusetts: Frequently Asked Questions
How do you become a ai platform engineer in Massachusetts?
There is no state-issued license required to work as an ai platform engineer in Massachusetts. The standard path is a bachelor's degree in computer science, software engineering, or a related field, followed by hands-on experience with ML infrastructure and cloud platforms. Many Massachusetts employers, particularly in the biotech and fintech sectors, also value advanced degrees or industry certifications in cloud architecture. Building a portfolio of deployed ML systems strengthens candidacy considerably.
How much do AI platform engineers make in Massachusetts?
AI platform engineers in Massachusetts earn a median of about $109,590 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $55,740 for the lowest 10% to over $183,460 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai platform engineers in Massachusetts?
Employers hiring ai platform engineers in Massachusetts right now include Moderna, LangChain, and MassMutual, based on current listings on Migrate Mate as of August 2026. Massachusetts's density of biotech, fintech, and enterprise software companies means demand is sustained across both large established organizations and well-funded growth-stage firms headquartered in the Greater Boston area.
Which Massachusetts cities have the most ai platform engineer jobs?
Boston, Cambridge, and Waltham have the most ai platform engineer openings in Massachusetts. Boston and Cambridge anchor the market due to their concentration of biotech companies, financial services firms, and major research universities, while suburban nodes along the Route 128 corridor such as Waltham and Burlington draw significant hiring from enterprise software and defense technology employers operating large engineering campuses there.
Are there remote ai platform engineer jobs in Massachusetts?
Yes, and more than most fields. About 73% of ai platform engineer openings tied to Massachusetts are remote or hybrid as of August 2026, reflecting how naturally the work translates to distributed environments. The portions of the role focused on pipeline development, model deployment automation, and infrastructure configuration are most commonly performed fully remotely, while on-call platform reliability work often requires some on-site presence.
How can I get hired as a ai platform engineer in Massachusetts with little or no experience?
The most realistic entry path is through a junior MLOps or platform engineering associate role, often reached from adjacent positions like data engineer, backend software engineer, or DevOps engineer at Massachusetts employers. Large organizations such as Fidelity Investments and MathWorks have new-graduate hiring programs that open into platform-adjacent infrastructure teams. Building and publicly sharing a portfolio of cloud-based ML deployment projects, and earning an entry-level cloud certification, gives candidates a concrete edge in Massachusetts interviews.
Where can I find and apply to ai platform engineer jobs in Massachusetts?
You can find and apply to ai platform engineer jobs in Massachusetts on Migrate Mate, which lists current Massachusetts openings. Find roles that fit your experience and apply directly from the listing.
See All 29 AI Platform Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find AI Platform Engineer Jobs