More jobs:
Full Stack Engineer
Job in
Phoenix, Maricopa County, Arizona, 85003, USA
Listed on 2026-02-14
Listing for:
Harnham
Full Time
position Listed on 2026-02-14
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Overview
FULL STACK SOFTWARE ENGINEER (AI-Enabled Applications)
GREATER PHOENIX AREA - HYBRID
$115,000 – $140,000 BASE + BONUS + BENEFITS
The Opportunity
We’re partnering with a fast-growing technology organization modernizing core business applications by embedding Generative AI directly into real production workflows. This is not a research role — you’ll be building AI-powered software products used by internal teams and customers.
The team is flexible on seniority and is open to mid-level through senior engineers who are strong builders, product-minded, and excited to work hands-on across the stack.
What You’ll Be Working On- Building and maintaining full-stack applications that integrate LLMs into real business processes
- Designing and developing backend APIs and services (primarily Python or Node.js/Type Script)
- Integrating GenAI capabilities such as RAG pipelines, embeddings, semantic search, and AI-driven workflows
- Working within a modern cloud environment (AWS) to ship secure, scalable, production-grade systems
- Collaborating closely with product, platform, and data teams to translate business needs into technical solutions
- Contributing to the modernization of legacy systems and adoption of new internal platforms and tools
- Strong experience as a software engineer building backend services and full-stack applications
- Proficiency in Python and/or Node.js/Type Script
- Experience designing and consuming APIs, working with SQL and No
SQL databases - Hands-on exposure to GenAI / LLMs, with a solid understanding of concepts like RAG, embeddings, and AI integration patterns
- Comfort picking up new tools, platforms, and technologies quickly
- Experience working in cloud environments, ideally AWS
- Experience with AI orchestration tools or internal AI platforms
- Exposure to ontology-based systems or enterprise data platforms (e.g., Palantir or similar)
- Infrastructure-as-code (Terraform) and CI/CD experience
- Prior work in fast-moving, ambiguous environments where ownership matters
- Broad scope and real ownership — you’re building things that ship
- Flexibility on seniority and background
- Competitive compensation with room for senior-level impact
- Opportunity to work at the intersection of software engineering and applied AI, without research overhead
- A team that values pragmatic engineering and business outcomes
If you’re excited to build real, production-ready AI software (not demos) and want meaningful ownership on a growing platform, APPLY.
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