Senior Generative AI Engineer / AI Agent Developer

DeWinter Group; Boston (MA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

DeWinter Group in the Boston area is seeking a Senior Generative AI Engineer / AI Agent Developer to design, develop, and deploy cutting-edge AI agents and agentic workflows for enterprise challenges. You will work with cross-functional teams to deliver scalable, production-grade AI solutions that align with business goals.

You will deploy LLM-based systems, RAG, and orchestration frameworks, ensuring security, performance, and maintainability.

Qualifications

• Hands-on experience with enterprise AI platform development and governance.
• Proven ability to design, build, test, and deploy AI agents.
• Strong knowledge of LLMs, prompting, and AI workflow orchestration.
• Solid software engineering fundamentals and API integration.

Responsibilities

• Architect, develop, and deploy AI agents and agentic workflows.
• Leverage LLMs, RAG, and orchestration frameworks for enterprise needs.
• Collaborate with cross-functional teams to identify AI use cases.
• Ensure security, performance, scalability, and maintainability of AI solutions.
• Help establish enterprise AI standards and governance.
• Partner with stakeholders to enable AI deployment across the org.

Skills

Azure AI Foundry

Azure AI services

AI agents dev

LLMs & prompt engineering

Python

AI workflow orchestration

Tool calling

Agent architectures

API integration

Greenfield environments

Education

Bachelor’s degree in Computer Science/Engineering or related field

Tools

LangGraph

LangChain

LangSmith

AWS Bedrock

Google Cloud AI

Claude

GitHub Copilot

Cursor

Windsurf

Slingshot

Job description

Senior Generative AI Engineer / AI Agent Developer

Join a forward-thinking organization at the forefront of enterprise AI innovation as a Senior Generative AI Engineer / AI Agent Developer. This pivotal role offers the opportunity to design, develop, and deploy cutting-edge AI agents and workflows that address complex business challenges. You will be integral to building scalable, enterprise-grade AI solutions, working closely with cross-functional teams to drive AI strategy and platform capabilities, all within a dynamic, fast-paced environment.

Key Responsibilities

• Architect, develop, and deploy AI agents and agentic workflows leveraging modern Generative AI frameworks.
• Build scalable AI solutions utilizing Large Language Models (LLMs), retrieval-augmented generation (RAG), orchestration frameworks, and autonomous agents.
• Collaborate with business, product, and engineering teams to identify AI use cases and deliver production-ready solutions.
• Evaluate and incorporate emerging AI technologies, frameworks, and tools to enhance solution effectiveness.
• Ensure AI solutions adhere to enterprise standards for security, performance, scalability, and maintainability.
• Help establish enterprise AI standards, platform capabilities, tooling, and best practices in a greenfield environment.
• Partner with stakeholders across enterprise architecture and engineering to enable and govern AI deployment.

Required Skills

• Hands-on experience with Microsoft Azure AI Foundry, Azure AI services, and deploying enterprise AI solutions.
• Proven expertise in building, testing, and deploying AI agents within enterprise environments.
• Strong understanding of Large Language Models (LLMs), prompt engineering, AI workflow orchestration, tool calling, and agent architectures.
• Proficiency in Python and modern AI/ML development practices.
• Experience with AI-assisted development platforms such as Claude, GitHub Copilot, Cursor, Windsurf, or Slingshot.
• Solid software engineering fundamentals including API integration and system design.
• Ability to operate effectively in a greenfield environment and establish enterprise AI standards.

Nice to Have Skills

• Experience with cloud-native AI architectures and MLOps best practices.
• Familiarity with agent orchestration and observability frameworks such as LangGraph, LangChain, or LangSmith.
• Experience with AWS Bedrock, Google Cloud AI, or comparable enterprise AI platforms.
• Experience integrating AI solutions with enterprise data platforms and business applications.

Preferred Education & Experience

• Bachelor’s or higher degree in Computer Science, Engineering, or a related field.
• Extensive hands-on experience with enterprise AI platform development, deployment, and governance.
• Proven ability to lead AI initiatives and collaborate effectively with technical and business teams.

Other Requirements

• Must be available to work on-site if within the Boston or Needham area, or open to remote arrangements.
• Ability to start quickly with demonstrated enterprise AI and agent experience.
• Strong communication and collaboration skills to align technical solutions with organizational goals.
• This role is tailored for candidates ready to make an immediate impact and help shape enterprise AI platforms for the future.