Software Engineer AI Jobs in Boston, MA
Software Engineer AI jobs in Boston are in strong demand, concentrated in the Seaport District, Kendall Square, and the Back Bay across life sciences, enterprise software, and financial technology. Companies including Whoop, Klaviyo, and Amazon are actively hiring. Find a role that fits below and apply directly.
Find Software Engineer AI JobsOverview
Showing 5 of 36+ Software Engineer AI jobs
Key Responsibilities
Implementation & Configuration
- Design and implement AI Gateway infrastructure using Infrastructure as Code (IaC)
- Configure and customize according to our organizational requirements (security and standards)
- Deploy solution within our AWS environment
- Conduct comprehensive testing including functional, performance, and integration testing
- Ensure solution meets security, scalability, and reliability requirements
- Documentation & Knowledge Transfer
- Create detailed technical documentation for the implemented solution
- Develop onboarding guides and operational runbooks
- Document configuration standards and deployment procedures
- Provide architecture diagrams and system documentation
- Rollout Support
- Support initial production rollout and deployment
- Provide troubleshooting and issue resolution during launch phase
- Conduct knowledge transfer sessions with internal teams
- Assist with early adoption and usage optimization
- AWS Expertise: Strong experience with AWS services and cloud architecture
- Infrastructure as Code: Proficiency with IaC tools (Terraform, CloudFormation, CDK, or similar)
- AI Gateway Experience: Hands-on experience with LiteLLM or similar AI Gateway platforms
- Demonstrated ability to implement and configure cloud-based infrastructure solutions
- Experience with API management and gateway technologies
- Strong documentation and technical writing skills
- Security certifications or specialized security experience (AWS Security, cloud security best practices)
- Experience with AI/ML model deployment and management
- Knowledge of rate limiting, token management, and API cost optimization
- Familiarity with observability and monitoring tools (CloudWatch, Grafana)
- Experience with CI/CD pipelines and DevOps practices
Deliverables
- Production-ready AI Gateway implementation
- Complete IaC codebase with version control
- Comprehensive technical documentation
- Onboarding guides and operational procedures
- Post-implementation support through initial rollout period
Key Responsibilities
Implementation & Configuration
- Design and implement AI Gateway infrastructure using Infrastructure as Code (IaC)
- Configure and customize according to our organizational requirements (security and standards)
- Deploy solution within our AWS environment
- Conduct comprehensive testing including functional, performance, and integration testing
- Ensure solution meets security, scalability, and reliability requirements
- Documentation & Knowledge Transfer
- Create detailed technical documentation for the implemented solution
- Develop onboarding guides and operational runbooks
- Document configuration standards and deployment procedures
- Provide architecture diagrams and system documentation
- Rollout Support
- Support initial production rollout and deployment
- Provide troubleshooting and issue resolution during launch phase
- Conduct knowledge transfer sessions with internal teams
- Assist with early adoption and usage optimization
- AWS Expertise: Strong experience with AWS services and cloud architecture
- Infrastructure as Code: Proficiency with IaC tools (Terraform, CloudFormation, CDK, or similar)
- AI Gateway Experience: Hands-on experience with LiteLLM or similar AI Gateway platforms
- Demonstrated ability to implement and configure cloud-based infrastructure solutions
- Experience with API management and gateway technologies
- Strong documentation and technical writing skills
- Security certifications or specialized security experience (AWS Security, cloud security best practices)
- Experience with AI/ML model deployment and management
- Knowledge of rate limiting, token management, and API cost optimization
- Familiarity with observability and monitoring tools (CloudWatch, Grafana)
- Experience with CI/CD pipelines and DevOps practices
Deliverables
- Production-ready AI Gateway implementation
- Complete IaC codebase with version control
- Comprehensive technical documentation
- Onboarding guides and operational procedures
- Post-implementation support through initial rollout period
See All 36 Software Engineer AI Jobs in Boston
Find roles in Boston that match your experience and apply in just a few clicks.
Find Software Engineer AI JobsSoftware Engineer AI Job Market in Boston
Who's Hiring
Top Industries Hiring
- Technology & Software
- Insurance
- Law & Legal Services
- Healthcare & Medical Services
Software Engineer AI Jobs in Boston: Frequently Asked Questions
How do I get a software engineer ai job in Boston?
Focus your search on Boston's Seaport District, Kendall Square, and the Innovation District, where biotech, enterprise software, and fintech employers cluster. Candidates with hands-on experience in large language models, ML pipelines, or AI infrastructure stand out in this market. Networking through local tech meetups and university research communities also opens doors that job boards alone won't.
Which companies hire software engineer ais in Boston?
Boston software engineer ai roles are posted by Whoop, Klaviyo, and Amazon and others right now, based on current listings on Migrate Mate as of September 2026. Boston's employer mix skews toward research-driven biotechs, established financial services firms, and fast-growing software companies with strong AI investment.
Are there remote software engineer ai jobs in Boston?
Yes, though availability depends on the role. About 40% of software engineer ai openings tied to Boston are remote or hybrid as of September 2026, reflecting how much of this work involves code, modeling, and research rather than on-site hardware. Model development and data engineering work tends to be the most remote-friendly in Boston's AI hiring market.
How can I get a software engineer ai job in Boston with little or no experience?
The most realistic entry path in Boston is through a junior ML engineer or AI research associate role at one of the city's many university-affiliated research labs or early-stage startups in Kendall Square. Boston's dense academic ecosystem, including connections to MIT and Harvard, means research assistant and co-op positions regularly convert to full-time AI engineering roles for candidates who build a portfolio of applied projects.
Which industries hire the most software engineer ais in Boston?
Boston software engineer ai roles concentrate in Technology & Software, Insurance, and Law & Legal Services, based on current listings on Migrate Mate as of September 2026. Boston's position as a life sciences hub and its deep ties to academic research institutions drive unusually strong AI hiring in healthcare and biotech compared to most other U.S. cities.
Related Jobs in Massachusetts
See All 36 Software Engineer AI Jobs in Boston
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