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Senior Ai Engineer

  • Senior Ai Engineer job type Posted on: Oct 20, 2026
  • Senior Ai Engineer experience level Stellent IT LLC
  • Senior Ai Engineer employment type Fort Worth, Texas
  • Senior Ai Engineer employment type Onsite
  • Senior Ai Engineer salary Full-time

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Job Title :

Senior Ai Engineer

Job Type :

Full-Time

Job Location :

Fort Worth Texas United States

Remote :

No

Jobcon Logo Job Description :

Required to work onsite hybrid 3 days/week (Tues/Wed/Thurs usually).
Interview process: MS Teams Interview
Senior Dev:
Must-haves: 6 8 years software engineering; 3+ years shipping production Gen AI agents, workflows, or apps (eval, failure handling, human review loop); hands-on AWS, Python, React, GitHub Actions, and Terraform - they have operated what they built, not only consumed a platform someone else ran; has shipped both the service and the interface a business user touches.
Preferred: ML, fine-tuning, graph databases.
Nice to have: PydanticAI, agent observability, AI Ops / LLMOps.

Hands-on experience building and operating production workloads on AWS required. Cloud certification without production ownership is not sufficient.
Hands-on experience with Python, React, GitHub Actions, and Terraform required, including ownership of CI/CD and infrastructure rather than editing templates.
Experience embedding with business users or a vendor delivery team to co-develop, rather than receiving a completed specification, preferred.
Experience in insurance, claims, healthcare, or another heavily regulated operational domain preferred.
Skills & Knowledge
  • Strong full-stack engineering skills in Python and React, with solid working knowledge of SQL, REST APIs, and service design
  • Hands-on AWS: has built, deployed, and operated production services, including networking, identity, and operational concerns sufficient for a regulated environment
  • Hands-on GitHub Actions and Terraform: owns pipelines and infrastructure as code, including review, drift, and recovery
  • Production command of Generative AI agents, workflows, and applications - tool use, orchestration, evaluation, and human-in-the-loop patterns - sufficient to ship and run, not only prototype
  • Ability to implement services in alignment with enterprise architecture, governance, PHI handling, and compliance requirements
  • Ability to sit with examiners or operations staff and leave with scoped work; comfortable as the only engineer in that room
  • Ability to work collaboratively in a fast-paced Transformation Office, including pairing with vendor engineers when required
  • Strong mentoring, collaboration, and technical communication skills
  • Experience with machine learning, model fine-tuning, and/or graph databases (e.g. Neo4j) preferred
  • Experience with PydanticAI (or equivalent agent framework), agent observability, and AI Ops / LLMOps a plus
  • Ability to meet or exceed Performance Competencies

Jobcon Logo Position Details

Posted:

Oct 20, 2026

Reference Number:

52182-6911

Employment:

Full-time

City:

Fort Worth

Job Origin:

CIEPAL_ORGANIC_FEED

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Required to work onsite hybrid 3 days/week (Tues/Wed/Thurs usually).
Interview process: MS Teams Interview
Senior Dev:
Must-haves: 6 8 years software engineering; 3+ years shipping production Gen AI agents, workflows, or apps (eval, failure handling, human review loop); hands-on AWS, Python, React, GitHub Actions, and Terraform - they have operated what they built, not only consumed a platform someone else ran; has shipped both the service and the interface a business user touches.
Preferred: ML, fine-tuning, graph databases.
Nice to have: PydanticAI, agent observability, AI Ops / LLMOps.

Hands-on experience building and operating production workloads on AWS required. Cloud certification without production ownership is not sufficient.
Hands-on experience with Python, React, GitHub Actions, and Terraform required, including ownership of CI/CD and infrastructure rather than editing templates.
Experience embedding with business users or a vendor delivery team to co-develop, rather than receiving a completed specification, preferred.
Experience in insurance, claims, healthcare, or another heavily regulated operational domain preferred.
Skills & Knowledge
  • Strong full-stack engineering skills in Python and React, with solid working knowledge of SQL, REST APIs, and service design
  • Hands-on AWS: has built, deployed, and operated production services, including networking, identity, and operational concerns sufficient for a regulated environment
  • Hands-on GitHub Actions and Terraform: owns pipelines and infrastructure as code, including review, drift, and recovery
  • Production command of Generative AI agents, workflows, and applications - tool use, orchestration, evaluation, and human-in-the-loop patterns - sufficient to ship and run, not only prototype
  • Ability to implement services in alignment with enterprise architecture, governance, PHI handling, and compliance requirements
  • Ability to sit with examiners or operations staff and leave with scoped work; comfortable as the only engineer in that room
  • Ability to work collaboratively in a fast-paced Transformation Office, including pairing with vendor engineers when required
  • Strong mentoring, collaboration, and technical communication skills
  • Experience with machine learning, model fine-tuning, and/or graph databases (e.g. Neo4j) preferred
  • Experience with PydanticAI (or equivalent agent framework), agent observability, and AI Ops / LLMOps a plus
  • Ability to meet or exceed Performance Competencies

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