AI Resume Builder
JOIN NOW Post Job
Openkyber
AI

Identity AI / ML Engineer

Openkyber · GA, US

Actively hiring Posted 5 months ago

Job Description: As a Generative AI Engineer, you'll be a core member of this pod, building and integrating agentic systems powered by cutting-edge LLM and GenAI technologies. You'll work closely with Tech Leads and Full Stack Engineers to turn AI capabilities into production-ready enterprise solutions.

Core Skills & Experience Must Haves:

  • 8 years of software engineering experience with at least 2-3 years in AI/ML or GenAI systems in production
  • Hands-on experience with Python only for AI/ML model integration.
  • Experience with LLM frameworks (LangChain, LlamaIndex is a must)
  • Exposure to agentic frameworks (Langgraph, Google ADK, is a must)
  • Understanding of Git, CI/CD, DevOps, and production-grade GenAI deployment practices.
  • Familiarity with Google Cloud Platform (Google Cloud Platform) - e.g. Vertex AI, Cloud Run, and GKE.

Good-to-Have:

  • Experience building AI APIs, embeddings, vector search, and integrating them into applications.
  • Experience fine-tuning open-source models (LLaMA, Mistral, etc.) or working with OpenAI APIs.
  • Exposure to multi-modal AI systems (text, image, or voice).

For applications and inquiries, contact: [email protected]

Tags & focus areas

Used for matching and alerts on DevFound
Remote Ai Ai Engineer Machine Learning 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.

Still have questions?

Contact Support