AI Software Developer Jobs in Boston, MA
AI Software Developer jobs in Boston are in high demand, concentrated in the Seaport Innovation District, Kendall Square, and the Longwood Medical Area, with strong hiring across biotech, financial services, and enterprise software. Employers actively hiring include Whoop, Klaviyo, and Amazon. Scan the live roles below and apply to whichever ones fit.
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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 AI Software Developer Jobs in Boston
Find roles in Boston that match your experience and apply in just a few clicks.
Find AI Software Developer JobsAI Software Developer Job Market in Boston
Who's Hiring
Top Industries Hiring
- Technology & Software
- Insurance
- Law & Legal Services
- Healthcare & Medical Services
AI Software Developer Jobs in Boston: Frequently Asked Questions
How do I get a ai software developer job in Boston?
Focus on Boston's three dominant hiring sectors: biotech and life sciences, financial services, and enterprise software. The Seaport District and Kendall Square carry the heaviest concentration of openings, with the Longwood Medical Area adding a strong research-driven pipeline. Candidates who combine hands-on machine learning experience with domain knowledge in healthcare or fintech stand out most in this market. A strong GitHub portfolio and familiarity with cloud platforms used in regulated industries give you a clear edge.
Which companies hire ai software developers in Boston?
Companies currently hiring ai software developers in Boston include Whoop, Klaviyo, and Amazon, per current listings on Migrate Mate as of September 2026. Boston's employer mix ranges from large financial institutions and global biotech firms to venture-backed AI startups clustered in the Seaport and Kendall Square corridors.
Are there remote ai software developer jobs in Boston?
Yes, ai software developer work is well-suited to remote and hybrid arrangements since the role is primarily desk-based and output-driven. About 40% of ai software developer openings tied to Boston are remote or hybrid as of September 2026, reflecting broad employer flexibility in this field. Model development, research, and pipeline engineering tasks are the most commonly offered remotely by Boston-area employers.
How can I get a ai software developer job in Boston with little or no experience?
The most realistic entry path in Boston is through a junior machine learning engineer or AI research assistant role at one of the city's many early-stage startups in the Seaport or Kendall Square. Boston's dense university ecosystem, including MIT, Harvard, and Northeastern, means employers are accustomed to hiring recent graduates and co-op participants. Building a portfolio with real project work in PyTorch or TensorFlow, contributing to open-source repositories, and targeting companies with active internship pipelines gives entry-level candidates the strongest footing locally.
Which industries hire the most ai software developers in Boston?
Most ai software developer openings in Boston sit in Technology & Software, Insurance, and Law & Legal Services, per current listings on Migrate Mate as of September 2026. Boston's position as a global hub for life sciences research, a regional center for asset management and fintech, and a growing destination for enterprise SaaS companies drives consistent demand for AI talent across all three sectors.
Related Jobs in Massachusetts
See All 36 AI Software Developer Jobs in Boston
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