AI Engineer Manager
Summary
Lead an AI engineering team to design, build, and deploy LLM-powered systems, RAG pipelines, and agentic frameworks while optimizing performance and reliability.
- Apply prompt engineering
- Automate MLOps LLMOps lifecycle
- Build agentic frameworks
- Build scalable inference infrastructure
- Create AI evaluation frameworks
- Design APIs microservices and orchestration
- Design and build RAG systems
- Design feasibility assessments
- Develop LLM-powered solutions
- Develop solution proposals
- Identify model failures
- Implement CI CD pipelines for AI and ML
- Lead AI project delivery end to end
- Mentor engineers
- Optimize latency cost reliability scalability
- Run structured experiments
Perks/Benefits:
- All the equipment needed
- Anniversary gifts
- Birthday gifts
- English lessons
- Flexible working options
- Learning opportunities
- Lunchevery day
- Mentoring and development opportunities
- Snacks and beverages
- Study plans courses and certifications