Forward Deployed Engineer Remote Texas

Kelly Services Inc.
Dallas, TX, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$140,000.0 - $210,000.0
Working hours
Regular working hours

Tech stack

LangGraph Framework Application Programming Interfaces (APIs) Artificial Intelligence Computer Programming Python (Programming Language) Model Validation Agentic-AI

Requirements

Applicants must be currently authorized to work in the US on a full-time basis now and in the future. Job Description We are building a team of Forward Deployed Engineers for a fintech organization. This is an opportunity to work near the cutting edge of AI business use-cases that are already providing value to real users & customers.

In this position you will be collaborating closely with both internal & customer teams to integrate, customize, and deploy AI solutions in customer environments. This is a high-level position that requires deep hands-on production experience with AI applications (GenAI, Agentic AI), model evaluation & testing, and Python development & APIs., * 5+ Years of Relevant Software, AI/ML, Data, or similar experience

  • At least one production-launched AI application (GenAI or Agentic AI)
  • Programming Skills (Python strongly preferred)

Desired Skills & Experience

  • Understanding/usage of LangGraph, LangChain
  • Development of MCP

Benefits & conditions

  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k)

About the company

Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.

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