AI Software Engineer

Hybrid in Austin, TX, US • Posted 1 hour ago • Updated 1 hour ago
Full Time
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • RAG
  • LLM
  • API
  • Java
  • Python
  • MLOps
  • AI

Summary

Position: AI Software Engineer

Work Model: Dallas, TX | Austin, TX | San Francisco, CA (Onsite/Hybrid Preferred )

Duration: Long Term

We are seeking an experienced AI Software Engineer to join a team building next-generation AI-powered applications and platforms. This role is ideal for engineers who combine strong software engineering fundamentals with hands-on experience developing and deploying Generative AI solutions in production environments.

What You'll Do

  • Design, build, and deploy scalable AI-powered applications and services
  • Develop and optimize Retrieval-Augmented Generation (RAG) systems
  • Build AI agents, workflow automation solutions, and intelligent assistants
  • Integrate LLMs such as OpenAI, Claude, Gemini, and open-source models into production systems
  • Design APIs, microservices, and cloud-native architectures
  • Implement vector database solutions and knowledge retrieval pipelines
  • Establish monitoring, evaluation, guardrails, and observability for AI systems
  • Collaborate with cross-functional teams to deliver secure, reliable, and scalable solutions

Required Qualifications

  • Strong software engineering background with Python, Java, Go, or TypeScript
  • Experience building production-grade AI/GenAI applications
  • Hands-on experience with:
    • OpenAI, Claude, Gemini, Llama, or similar LLMs
    • LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or related frameworks
    • RAG architectures and vector databases (Pinecone, Weaviate, Qdrant, Chroma, Milvus)
  • Experience with cloud platforms (AWS, Azure, or Google Cloud Platform)
  • Knowledge of APIs, distributed systems, microservices, and scalable architecture
  • Strong debugging, testing, and code review skills

Preferred Qualifications

  • AI Agent development and orchestration
  • Prompt engineering and evaluation frameworks
  • LLM observability and monitoring tools
  • MLOps, Kubernetes, Docker, CI/CD, and Infrastructure as Code
  • Experience with enterprise AI deployments and governance
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: 91128181
  • Position Id: 9044171
  • Posted 1 hour ago
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JJ

Joseph Jones

Recruiter @ Purview Services
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