AI Engineer

Job summary

Overview: About Suffolk Suffolk is a national enterprise that builds, innovates, and invests. We provide value across the entire project lifecycle through our core construction management services and complementary business lines in real estate investment, design, self-perform construction, and technology start-up investment (Suffolk Technologies).

Benefits

Qualifications

• and user stories into production-grade AI solutions using AWS Bedrock, Lambda, ECS/EKS, and Databricks.
• Implement RAG pipelines with Delta tables, Unity Catalog, and Vector Search.
• Design and deploy multi-model agents that dynamically select between LLMs (Claude, GPT, Llama, Titan, etc.) based on task context, cost, and latency.
• Implement multi-agent orchestration frameworks enabling collaboration among specialized agents (e.g., data retriever, planner, summarizer, and action executor) for complex construction workflows.
• Own full lifecycle delivery — design, development, testing, deployment, monitoring, and maintenance.
• Full-Stack & Backend Development
• Build APIs, backend services, and agentic workflows using Python, FastAPI, LangChain, and AWS SDKs.
• Create reusable connectors and orchestration layers for multi-model agents (Claude, GPT, Llama, etc.).
• Develop front-end integrations for Teams and web SPAs via REST or GraphQL endpoints.
• Data Engineering & Integration
• Partner with Data Engineering to design robust ETL/ELT pipelines from enterprise systems to the Databricks Lakehouse.
• Ensure efficient data access, caching, and vectorization for low-latency AI response.

Responsibilities

• AI Product Engineering & Deployment
• Translate product
• of this job, the employee is regularly required to sit for long periods of time; talk or hear; perform fine motor, hand and finger

Skills

Certifications

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Contract length