AI Platform Engineer: Multi-Model Agents for Construction

Suffolk Construction Company, Inc.; Boston (MA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Competitive salaries

Gas cards for eligible roles

Medical and emotional health benefits

Dental and vision insurance

Commuter benefits

Job summary

Suffolk Construction Company, Inc. in Boston seeks an AI Engineer to build scalable AI agents and platforms supporting construction management.

You will collaborate with Product Managers, Site AI Engineers, and Data Engineers to translate requirements into production-grade AI solutions. You will design retrieval-augmented generation pipelines, deploy multi-model agents across LLMs like Claude, GPT, Llama, and Titan, and own end-to-end delivery from design to maintenance using Python, FastAPI,

Qualifications

• 4–6 years of professional software development on AWS with 2+ years AI/ML engineering (LLMs, RAG).
• Proficient in Python and SQL; Databricks and vector DBs experience.
• Experience deploying production AI systems on AWS (Lambda, ECS/EKS, API Gateway).
• Strong CI/CD, IaC (Terraform/CDK), GitHub Actions.

Responsibilities

• Translate product requirements into production-grade AI solutions using AWS Bedrock, Lambda, ECS/EKS.
• Implement retrieval-augmented generation pipelines with Delta tables and vector search.
• Design multi-model agents selecting among LLMs based on cost and latency.
• Build multi-agent orchestration for complex construction workflows.
• Own end-to-end delivery lifecycle including design, testing, deployment and maintenance.
• Develop APIs, backend services, and agent workflows using Python, FastAPI, LangChain.

Skills

Python proficiency

Cross-functional collaboration

Problem solving

AI/ML mindset

Education

Bachelor's degree in CS/Engineering

Master's preferred

Tools

AWS

Databricks

LangChain

FastAPI

boto3

Job description

Suffolk Construction Company, Inc. in Boston seeks an AI Engineer to build scalable AI agents and platforms supporting construction management.

You will collaborate with Product Managers, Site AI Engineers, and Data Engineers to translate requirements into production-grade AI solutions. You will design retrieval-augmented generation pipelines, deploy multi-model agents across LLMs like Claude, GPT, Llama, and Titan, and own end-to-end delivery from design to maintenance using Python, FastAPI,