Software Engineer/ Agentic AI / Hybrid DFW

Dallas, TX, US • Posted 21 days ago • Updated 9 hours ago
Full Time
On-site
$140000 - $180000/yr
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • Team Building
  • IaaS
  • Workflow
  • LangChain
  • Caching
  • Artificial Intelligence
  • Evaluation
  • KPI
  • Machine Learning (ML)
  • Data Science
  • Generative Artificial Intelligence (AI)
  • Python
  • SQL
  • Prompt Engineering
  • Cloud Computing
  • Amazon Web Services
  • Google Cloud Platform
  • Google Cloud
  • Microsoft Azure
  • Docker
  • Kubernetes
  • Continuous Integration
  • Continuous Delivery
  • Communication
  • Agile
  • Collaboration

Summary

Senior Agentic AI Engineer
We are looking for a Senior Software Engineer with Agentic AI to join an Agentic AI team building enterprise-grade conversational AI and autonomous agent systems. You will design, build, evaluate, and scale AI agents and workflows using modern agentic frameworks, working across front end, back end, and cloud infrastructure.
This is a remote role with periodic travel, once a month, to a U.S.-based corporate headquarters.
What You'll Do
  • Design and implement end-to-end AI agents (tasks, tools, memory, planning, guardrails)
  • Build agentic workflows using modern frameworks (e.g., LangChain, agent SDKs)
  • Develop eval-first AI systems with automated metrics for quality, safety, and performance
  • Architect scalable, secure, multi-tenant systems across APIs, queues, caching, and observability
  • Collaborate cross-functionally and clearly communicate technical decisions
  • Leverage AI coding assistants while maintaining enterprise-grade standards
  • Support releases, monitoring, and production operations
  • Develop and maintain AI evaluation frameworks, including offline and online evals, metrics, and KPIs to measure agent quality, safety, reliability, and business impact
What You Bring
  • Master's or Ph.D. in a relevant field or equivalent experience
  • 5+ years in ML Engineering/Data Science, including 2+ years in Generative AI and LLMs
  • Strong Python and SQL skills with production experience
  • Experience with prompt engineering, RAG, vector embeddings, and agentic architectures
  • Cloud expertise (AWS, Google Cloud Platform, or Azure), plus Docker, Kubernetes, and CI/CD
  • Strong communication skills and experience working in Agile teams
  • Willingness to travel periodically for in-person collaboration
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10105282
  • Position Id: 865451
  • Posted 21 days ago
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