Agentic AI FDE | USA | FTE Only

Posted 2 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
66K-231K Annually
Senior level
Agency • Information Technology
The Role
Hands-on technical lead to design and implement production-ready AI/ML solutions (50-70% coding). Responsibilities include end-to-end ML workflows, data preparation, model integration, scalable API/microservice architectures, cloud-native deployment (Azure/AWS), data engineering with Pandas/NumPy, use of Scikit-Learn/TensorFlow/PyTorch, and production DevOps practices. Individual contributor role with extensive client travel.
Summary Generated by Built In

Job Title: Agentic AI FDE - Technical Lead

Location: USA  

Experience: 6+Years to 12+ years   

Employment Type: Full-time  

Travel requirements: 80% travel required, travel to PHTN.ai client offices  

Job Summary:  

  • Minimum 6+ years (not more than 15+ years overall) of experience in designing and development of AI/ML applications.
  • Strong hands‑on programming experience (Python required) with the ability to design and implement production‑ready solutions (experience in JS/NodeJS or .NET/C# is a plus)
  • Architecture and system‑design experience, with a proven track record of translating designs into working code (must still code 50–70% of the time)
  • Practical experience implementing AI/ML solutions end‑to‑end, including data preparation, model usage, and integration into applications (using frameworks like Scikit‑Learn, TensorFlow, or PyTorch)
  • Experience designing and building scalable ML/AI systems using APIs, microservices, and event‑driven patterns — with direct hands‑on implementation responsibility
  • Strong data handling skills, including Pandas/NumPy and working with structured and unstructured data in real systems
  • Cloud‑native experience (Azure/AWS) with hands‑on deployment, debugging, and performance tuning of AI workloads
  • Solid software engineering and DevOps practices, including Git, CI/CD pipelines, logging, monitoring, and production readiness
  • Individual contributor role — no people management; must personally design, code, debug, and support solutions


Compensation, Benefits and Duration

Minimum Compensation: USD 66,000
Maximum Compensation: USD 231,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post.

Skills Required

  • 6+ years experience designing and developing AI/ML applications (not more than 15 years overall)
  • Hands-on programming experience in Python
  • Experience in JS/NodeJS or .NET/C#
  • Architecture and system-design experience with ability to translate designs into working code
  • Must code 50-70% of the time (individual contributor)
  • Practical end-to-end AI/ML implementation experience using Scikit-Learn, TensorFlow, or PyTorch
  • Experience building scalable ML/AI systems using APIs, microservices, and event-driven patterns
  • Strong data handling skills including Pandas and NumPy; experience with structured and unstructured data
  • Cloud-native deployment, debugging, and performance tuning for AI workloads (Azure or AWS)
  • Solid software engineering and DevOps practices (Git, CI/CD, logging, monitoring, production readiness)
  • Willingness to travel approximately 80% to client offices
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The Company
HQ: London
5,017 Employees
Year Founded: 2007

What We Do

Photon.com has emerged as one of the world’s largest and fastest-growing Digital Agencies. We work with 40% of the Fortune 100 on their Digital initiatives and are known for our ability to integrate Strategy Consulting, Creative Design, and Technology at scale. Please visit www.photon.com to learn more about us, how we work, and our customer case studies. Digital Transformation Starts Here.

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