SPECTRAFORCE
AI

Generative AI Engineer

SPECTRAFORCE · Columbia, South Carolina Metropolitan Area

Actively hiring Posted 5 months ago

**Only W2Only W2Only W2

*Title: Developer/ AI Agentic Engineer (Python) *Only W2

**Duration: 6 Months (Possibility of extension)

Location: Columbia, SC

Onsite Requirements:**
Partially onsite 3 days per week (Tue, Wed, Thurs) and as needed.

Standard work hours: 8:00 AM – 5:00 PM

**Credit check will be required

Job Summary:

**This is a new role to establish a core competency in agentic AI systems. This engineer will be pivotal in designing and deploying advanced AI agents and will build the foundational frameworks for future AI use cases across the organization.

*Required Experience:*Only W2Only W2Only W2

Required Software and Tools (Hands on experience required):

  • Python
  • JavaScript/TypeScript
  • AI Tools and Libraries (e.g. LangGraph, LangChain, Deep Agents, Claude Skills, etc.)
  • AI Models (e.g. Claude, OpenAI, etc.)
  • AI Concepts (e.g. Prompt Engineering, RAG, Agentic AI, etc.)
  • Distributed SDLC/DevOps (e.g. github, pipelines, VS Code, testing frameworks, etc.)
  • Platforms (Container Platforms, Cloud Platforms, Document Databases, AWS)
  • API Design

Python & AI/ML Libraries:

  • Deep hands-on experience in Python for AI/ML development.
  • Generative AI Development: Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment.
  • Infrastructure & DevOps: Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes.
  • Agentic AI Concepts: Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use).

Minimum Required Education:
Bachelor's degree-in Computer Science, Information Technology or other job related degree or 4 years relevant experience or Associates degree + 2 years relevant experience

Minimum Required Work Experience:
6years-of application development, systems testing or other job related experience.

Required Technologies:
3–6 years of hands-on experience in Artificial Intelligence, Machine Learning, or related fields.

Tags & focus areas

Used for matching and alerts on DevFound
Contract Ai Ai Engineer Generative Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.