Related skills
aws python gcp mlops llms📋 Description
- Design and build apps using foundation models and GenAI techniques (RAG, agents)
- Develop autonomous or semi-autonomous agent frameworks to solve complex business problems
- Contribute to full-stack AI solutions, including backend services and APIs
- Deploy and scale AI/ML solutions in cloud environments (AWS, Azure, or GCP)
- Apply MLOps/LLMOps best practices for model lifecycle, testing, and monitoring
- Collaborate with cross-functional teams to translate business needs into AI solutions
🎯 Requirements
- Bachelors or Masters degree in CS, AI, ML, or related field
- 5+ years of software engineering with AI/ML exposure
- Hands-on experience with LLMs or generative AI
- Experience with Python and building scalable backend systems
- GenAI concepts such as embeddings, vector databases, or agent-based systems
- Experience deploying applications in AWS, Azure, or GCP
🎁 Benefits
- Medical, dental, and vision coverage
- 401(k) retirement plan
- Tuition reimbursement
- Collaborative, innovative culture with growth opportunities
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!