Generative AI Engineer

Position: Generative AI Engineer / Forward Deployed Engineer

Location: Fully Remote (working core EST)

Duration: 6-12 month contract, potential to go perm

Project: Building Generative and Agentic Solutions

Compensation: $60-85/hour

Desired Experience

• 3+ years of experience within Data Science and more recent experience with GenAI - ability to create multi-agent orchestration using AutoGen, LangGraph, CrewAI, OpenAI Agents SDK, and orchestration platforms like Azure AI Foundry Agent Service or AWS Bedrock AgentCore
• Soft skills: adaptable, creative, determined, pragmatic, curious, external passion, entrepreneurial, scrappy, non-traditional thinker, positive temperament, comfortable wearing multiple hats, dreamer, emotional intelligence.
• Ability to:
  • Rapidly prototype and build agentic solutions
  • Co-develop code with client engineering teams
  • Translate abstract requirements into functional software
  • Integrate AI models into business workflows
  • Refine solutions based on real-time feedback
  • Rapid delivery of functional AI MVPs
  • High-value, scalable intellectual property assets
  • Validated technical feasibility of AI concepts
  • Client readiness for operational ownership

Day-to-Day Responsibilities

An AI solutions and consulting firm is seeking a Gen AI Innovation Engineer / Gen AI Forward Deployed Engineer for greenfield product development. This firm is one of the most reputable AI consultancies in the country. They are disrupting the AI industry not only by building native AI solutions for their clients, but also by bringing together some of the most creative, outside the box thinkers and passionate forward deployed engineers into their internal "Incubator." Think of an incubator filled with the most elite, AI first builders in the game. They take immense pride in who they hire because their culture is truly special and unique---and being part of it is something people work hard to earn. In this role, you will build industry specific AI solutions (Healthcare, BFSI) from scratch. The goal is to create reusable frameworks that the company can co invest in with pilot customers. This team is effectively building a "startup" within the organization to serve as the GenAI brain trust for the entire company.