Senior Software Engineer II

Nextens; Oklahoma City (OK); On-site; USD 95,000 - 159,000; Full time

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

About The Role:

This position performs complex research, design, and software development assignments in the design and delivery of production AI systems, including agentic workflows, LLM-powered pipelines, retrieval-augmented generation (RAG), and structured extraction services. The position provides direct input to project plans, schedules, and methodology for cross-functional AI products; performs system design, typically across multiple systems and data sources; mentors more-junior members of the team; and works directly with business users and stakeholders to translate ambiguous, unstructured problems into measurable AI solutions.

Requirements:

• 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), including prompt design, tool/function calling, structured outputs, and model selection tradeoffs
• Experience building RAG pipelines: chunking, embedding, hybrid retrieval, reranking, and grounding/citation
• Strong understanding of schema-driven structured extraction from unstructured data (Zod, Pydantic, JSON Schema) and validation strategies
• Experience with evaluation frameworks for AI systems: golden datasets, LLM-as-judge, precision/recall on extraction tasks, regression testing of prompts and agents
• Strong SQL proficiency and understanding of relational and vector data storage (SQL Server, PostgreSQL, Elasticsearch/vector stores)
• Working experience with both AWS and Azure, including compute, storage, networking, IAM, and managed AI services; containerized deployment (Docker, Kubernetes or equivalent), secrets management, and observability (token usage, latency, cost attribution)
• Strong knowledge of software development best practices, test-driven development, and code review

Responsibilities:

• Design, build, and deploy production AI systems including agentic workflows, RAG services, and extraction pipelines across multiple business units
• Interface with business stakeholders and technical team members 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 environments
• Operate in Agile development environments while collaborating with key stakeholders across engineering, product, and business functions
• Mentor less-senior engineers on AI system design, evaluation methodology, and production readiness

Working for you:

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

• Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
• Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
• Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
• Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
• Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
• Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
• In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
  U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.

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