AI Engineer
Boston, MA, United States
USD 133K-186K (estimate) Senior-level Full Time
Tasks
- Automate infrastructure and deployments
- Build ETL ELT pipelines to Databricks Lakehouse
- Build backend services and APIs
- Collaborate with product and data teams in Agile sprints
- Create reusable connectors and orchestration layers
- Deliver end to end AI lifecycle
- Design and deploy multi-model AI agents
- Develop agentic workflows with Python
- Enforce security governance and access standards
- Implement LLMOps cost monitoring and latency optimization
- Implement rag pipelines
- Integrate web and Teams front ends
- Monitor data quality latency and observability
- Optimize data access caching and vectorization
- Orchestrate multi-agent workflows
- Translate product requirements into AI solutions
Perks/Benefits
- 401k match
- Backup daycare
- Commuter benefits
- Dental insurance
- Health insurance
- Life insurance
- Long-term disability
- Paid time off
- Short-term disability
- Vision insurance
Skills/Tech-stack
API Gateway | AWS Bedrock | AWS CDK | AWS KMS | AWS Lambda | AWS Step Functions | Agent systems | Airflow | Amazon S3 | Boto3 | CI/CD | Claude | CloudFront | Databricks | Databricks Workflows | Delta Lake | ECS | EKS | ELT | ETL | FastAPI | GPT | GitHub Actions | GraphQL | LLM orchestration | Lambda functions | Langchain | Llama | Multi-Agent | Multi-Agent Systems | Python | REST | Retrieval-Augmented Generation | SQL | Step Functions | Terraform | Titan | Unity Catalog | Vector Database | Vector Search
Education
Roles
Regions
Countries
States
Cities
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