Title: AI Developer w/Strong Python
Location: Sacramento, CA (Hybrid)
Duration: 6-month Contract-to-Hire (C2H)
Position Summary:
We are seeking a hands-on AI Developer with strong Python expertise and proven foundational AI experience to support a large-scale enterprise AI transformation.
This is not an entry-level or “learn AI on the job” role—we are looking for developers who already have real exposure to AI/ML concepts and LLM-based solutions and want to accelerate into advanced AI engineering.
You will play a key role in a Microsoft 365 Copilot and agent-driven transformation, helping transition existing ChatGPT-based solutions into scalable, enterprise-grade AI platforms. This role blends application development, AI agent design, and workflow automation across core business functions.
We value individuals with a strong engineering mindset, accountability, and a growth-oriented attitude who are ready to contribute immediately while continuing to level up.
Key Responsibilities:
- AI Solution & Agent Development
- Design, develop, test, deploy, and support AI-powered applications, copilots, and intelligent agents
- Build and configure AI agents, custom GPTs, and copilots using:
- Azure OpenAI / Azure AI Foundry
- Microsoft Copilot Studio & Microsoft 365 Copilot
- ChatGPT Enterprise (SKAI), Claude, and other approved platforms
- Develop APIs, integrations, and services connecting AI to enterprise systems and workflows
- Configure prompts, guardrails, workflows, and tool integrations to optimize performance and outcomes
- Support full lifecycle: design → deployment → monitoring → optimization
- AI Enablement & Enterprise Integration
- Develop and support RAG (Retrieval-Augmented Generation) and enterprise knowledge solutions
- Integrate AI capabilities with platforms including:
- Microsoft 365
- ERP, MES, LIMS, CRM, ServiceNow
- Enterprise data platforms (Databricks, etc.)
- Partner with business stakeholders to identify and deliver high-impact AI use cases
- Help transition legacy solutions from ChatGPT to Copilot + agent-based architecture
- Support user adoption, onboarding, and feedback loops
- Operations & Continuous Improvement
- Monitor AI systems for performance, reliability, security, and cost efficiency
- Troubleshoot and resolve issues across applications, agents, and integrations
- Evaluate AI output quality and improve accuracy through testing and feedback
- Support production deployments, release management, and documentation
- Collaborate with internal teams and external partners to scale solutions
Required Qualifications:
- Strong Python development experience (non-negotiable)
- 6–12 months of hands-on AI/ML or LLM experience (practical, not theoretical)
- Experience building or working with AI-enabled applications, automation, or APIs
- Understanding of LLMs, prompt engineering, or AI workflows
- Solid foundation in software engineering, integrations, and problem-solving
Preferred Qualifications:
- Experience with Azure AI, OpenAI, or Microsoft Copilot ecosystem
- Exposure to agent-based AI, copilots, or workflow automation platforms
- Familiarity with enterprise system integrations (M365, ERP, CRM, etc.)
- Experience with Databricks or enterprise data environments
What We’re Looking For:
- Developers with real AI exposure—not zero-to-one learners
- Strong Python engineers who can quickly adapt to AI-first development
- Individuals with ownership mindset, strong culture fit, and positive attitude
- Candidates motivated to grow into senior AI engineering roles
Why Join:
- Work on a large-scale enterprise AI (365/Copilot) transformation
- Build real-world AI agents, copilots, and automation at scale
- Partner with top-tier external AI vendors and platforms
- Opportunity to upskill rapidly in enterprise AI
- Clear path to full-time conversion after 6 months
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