DevJobs

AI Engineer

Overview
Skills
  • Git Git
  • CI/CD CI/CD
  • AWS AWS
  • Azure Azure
  • GCP GCP
  • LLM frameworks ꞏ 1y
  • AI models deployment
  • GenAI technologies
  • CUDA
  • DevOps principles
  • GPU acceleration tools
  • Hugging Face
  • OpenAI APIs
  • prompt engineering
  • RAG
  • TensorRT
  • vector databases

Why Join Us?


Be the AI champion driving innovation across our platform and company culture. Build cutting-edge LLM frameworks, shape AI strategy, and mentor teams while working with the latest generative AI technologies.




Key Responsibilities


* Develop and implement cutting-edge AI solutions with a focus on LLMs and real-world applications

* Design, build, and optimize agentic LLM frameworks for domain-specific customer use cases

* Collaborate cross-functionally with engineering, product, and data teams to integrate AI capabilities into the platform

* Build scalable and production-ready pipelines for AI/LLM workloads, ensuring performance, observability, and reliability

* Research, evaluate, and experiment with emerging tools in the GenAI space to stay ahead of the curve

* Promote AI usage across the company, mentoring team members and driving AI adoption in internal tools and customer experiences




Requirements


* 2+ years of experience in Data Science or Software Engineering

* Hands-on experience with LLM frameworks (e.g. OpenAI APIs, Hugging Face) – minimum 1 year

* Solid understanding of cloud environments (AWS, GCP, or Azure)

* Familiarity with modern DevOps principles, Git, CI/CD workflows

* Experience in deploying AI models and maintaining production pipelines

* Proficiency with GenAI technologies such as RAG, prompt engineering, vector databases

* Strong analytical mindset, fast learner, and highly motivated to explore new tools and AI techniques

* Bonus: Exposure to GPU acceleration tools (e.g. CUDA, TensorRT)

Jeen.ai