Senior AI Engineer
Suffolk Construction2 years ago
Boston, MA, USASenior
Responsibilities
- Translate product requirements and user stories into production-grade AI solutions using AWS Bedrock, Lambda, ECS/EKS, and Databricks.
- Implement RAG pipelines using Delta tables, Unity Catalog, and Vector Search.
- Design and deploy multi-model and multi-agent systems that select and orchestrate LLMs for complex construction workflows.
- Build APIs, backend services, agentic workflows, reusable connectors, and orchestration layers using Python, FastAPI, LangChain, and AWS SDKs.
- Develop Microsoft Teams and web SPA integrations through REST and GraphQL endpoints.
- Design ETL/ELT pipelines and integrations between enterprise systems, the Databricks Lakehouse, and AI agents.
- Improve data access, caching, vectorization, data quality, latency, and observability.
- Automate infrastructure and deployments using Terraform, AWS CDK, and GitHub Actions.
- Implement LLMOps practices including cost monitoring, latency optimization, usage analytics, and model versioning.
- Enforce security, governance, and access standards and collaborate with product managers, site AI engineers, data scientists, and Data Engineering.
Requirements
- At least 5 years of professional software development experience on AWS, including at least 2 years focused on AI/ML engineering involving LLMs, RAG, Bedrock, or similar technologies.
- Strong Python proficiency with LangChain, FastAPI, and boto3, plus solid experience with SQL, Databricks, and vector databases.
- Experience designing and deploying production systems with AWS Lambda, ECS/EKS, API Gateway, Step Functions, S3, CloudFront, and KMS.
- Strong foundation in CI/CD, infrastructure as code using Terraform or AWS CDK, and GitHub Actions.
- Bachelor’s degree in Computer Science, Engineering, Physics, or a related field.
- Experience with ETL/ELT design, Airflow or Databricks Workflows, and REST or GraphQL API development.
- Experience training, retraining, and transfer learning on machine learning models is desirable.
- A master’s degree is preferred.
- Prior hands-on experience in construction or heavy process industries such as manufacturing, oil and gas, or chemicals is a significant plus.
- Strong collaboration and communication skills, including the ability to work cross-functionally and communicate with non-technical stakeholders.
Benefits
- Comprehensive benefits package including medical, emotional and mental health, dental, vision, and virtual care options.
- Generous paid time off, 401(k) plan with employer match, life insurance, disability coverage, tax-deferred savings accounts, and commuter benefits.
- Access to financial resources and up to 10 backup daycare days per year.
- Auto allowances and gas cards are available for certain roles.
- The role includes office work and job-site walking; the posting does not specify a remote or hybrid arrangement.