AI Resume Builder
JOIN NOW Post Job
Openkyber
AI

Senior AI Engineer

Openkyber · AK, US

Actively hiring Posted about 1 month ago

Job Title: Senior AI Engineer (GenAI / Agentic AI)

Location: Charlotte, NC (Open to relocation / possible remote)

Employment Type: W2

Job Summary:

We are looking for a Senior AI Engineer with strong experience in Generative AI and Agentic AI to design, build, and deploy end-to-end AI applications. The role involves working on advanced AI workflows, RAG pipelines, and scalable cloud-based solutions.

Key Responsibilities:

  • Design and build agentic AI workflows using LangChain and LangGraph
  • Develop and optimize RAG (Retrieval-Augmented Generation) pipelines
  • Build and deploy AI services on Google Vertex AI
  • Develop backend services using Python (FastAPI) or Node.js
  • Create user-facing applications using React / Next.js
  • Implement observability (logging, tracing, monitoring)
  • Manage data pipelines (chunking, embeddings, vector databases)
  • Ensure data security, governance, and AI safety (guardrails, prompt security)
  • Optimize performance, latency, and cost
  • Collaborate with cross-functional teams and mentor junior engineers

Required Skills:

  • 7+ years of software engineering experience
  • 3+ years of hands-on GenAI / ML experience
  • Strong experience with LangChain and LangGraph
  • Solid understanding of RAG pipelines and vector databases
  • Experience with Google Vertex AI (or AWS/Azure AI services)
  • Backend development (Python / Node.js) and frontend (React)
  • Experience with Docker, Kubernetes, and CI/CD
  • Knowledge of AI evaluation, monitoring, and prompt engineering
  • Good understanding of data security and governance.

Nice to Have Experience:

  • Experience with LlamaIndex or knowledge graphs
  • Familiarity with advanced agent frameworks and LLM orchestration
  • Experience with structured RAG (SQL/Graph-based retrieval)

Regards, OpenKyber

For applications and inquiries, contact: [email protected]

Tags & focus areas

Used for matching and alerts on DevFound
Remote 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.

Still have questions?

Contact Support