Senior AI Systems Engineer - Production LLM/RAG

Nextens

Oklahoma City (OK)

On-site

USD 95,000 - 159,000

Full time

14 days+

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Benefits offered by this job

Health benefits
401(k) with match
Wellbeing platform
Disability and life insurance
Adoption & surrogacy benefits
Commuter Spending Accounts
Paid time off + volunteer days

Job summary

Nextens is seeking a Senior AI Software Engineer to design and ship production AI systems, including agentic workflows, LLM-powered pipelines, and RAG services across multiple business units. You will translate ambiguous problems into measurable solutions, mentor junior engineers, and work with stakeholders to define requirements.

The role requires 5+ years in software engineering, 2+ years shipping LLM-based systems, strong TypeScript/Node.js or Python, and experience with AWS/Azure, Docker,

Qualifications

  • 5+ years of software engineering experience, including 2+ years building and shipping LLM-based or ML-based systems to production.
  • BS in Engineering/Computer Science or equivalent experience required.
  • Demonstrated track record of owning an AI feature or service end to end: design, evaluation, deployment, and monitoring.
  • Expert proficiency in TypeScript/Node.js and/or Python; working knowledge of C#/.NET is a plus.
  • Hands-on experience with LLM platforms and APIs (Azure OpenAI or equivalent).
  • Experience building RAG pipelines: chunking, embedding, hybrid retrieval, reranking, grounding/citation.
  • Strong understanding of schema-driven structured extraction and validation strategies.
  • Experience with evaluation frameworks for AI systems and latency/cost attribution.
  • Strong SQL proficiency and relational/vector data stores (SQL Server, PostgreSQL, Elasticsearch/vector stores).
  • Working experience with AWS and Azure, containerized deployment, secrets management, and observability.

Responsibilities

  • Design, build, and deploy production AI systems including agentic workflows, RAG services, and extraction pipelines across multiple business units.
  • Interface with business stakeholders to scope AI use cases, define success metrics, and finalize requirements.
  • Write and review detailed technical specifications and architecture documents for complex AI system components.
  • Build and maintain evaluation harnesses; establish accuracy, latency, and cost baselines and monitor them in production.
  • Implement responsible AI practices: data handling, PII controls, hallucination mitigation, auditability, and human review where required.
  • Own cost and performance of LLM workloads, including model selection, caching, and usage attribution.
  • Build and maintain CI/CD pipelines and deployment automation for AI services across AWS and Azure.
  • Operate in Agile environments and collaborate with engineering, product, and business functions.
  • Mentor less-senior engineers on AI system design, evaluation methodology, and production readiness.

Skills

LLM features/end-to-end ownership
Python
TypeScript/Node.js
SQL
AWS
Azure
ML/AI systems
Prompt design

Education

BS in Engineering/Computer Science

Tools

Azure OpenAI
Docker
Kubernetes
Git
JSON Schema

Job description

Nextens is seeking a Senior AI Software Engineer to design and ship production AI systems, including agentic workflows, LLM-powered pipelines, and RAG services across multiple business units. You will translate ambiguous problems into measurable solutions, mentor junior engineers, and work with stakeholders to define requirements.

The role requires 5+ years in software engineering, 2+ years shipping LLM-based systems, strong TypeScript/Node.js or Python, and experience with AWS/Azure, Docker,

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