GenAI Engineer
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+6 more
Job description
We are looking for a GenAI Engineer to build and deploy AI-powered applications that enhance customer and employee experiences. This is a software engineering role focused on delivering production-grade AI solutions, not machine learning research or data science., Design, build, and maintain full-stack GenAI applications. Integrate AI capabilities into customer-facing and employee-facing products. Develop scalable backend services, APIs, and modern web experiences. Implement security, governance, observability, and monitoring for AI-enabled solutions. Collaborate with business and technology teams to deliver production-ready solutions.
Requirements
Key Skills: Agent Development, Agentic AI, LLM, RAG, Python, Data Pipeline, API, Bachelor’s degree in computer science, Software Engineering, or a related field. Strong full-stack development experience. Experience building and deploying GenAI applications using LLMs, RAG, AI agents, and related technologies. Experience developing APIs, microservices, and cloud-native applications. Proficiency with AI-assisted and AI-native software development practices, including tools such as GitHub Copilot and Cognition Devin. Strong understanding of CI/CD, testing, security, and software engineering best practices.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.indeed.comGood distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
What is Agentic Programming and Why Should Developers Care?
Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud
The State of WebDev AI 2025 Results: What Can We Learn?
What is Software Engineering in the Age of AI?