PG
AI Engineer (LLM / Agentic Systems)
Perfict Global, Inc.
Location not stated
3 months ago
- AI
- AI/ML
- System Design
- Python
- AWS
- GCP
- Azure
3 months ago
Location : Fremont, CA
Type : Long Term
Roles & Responsibilities
Design and build end-to-end AI/ML pipelines (data ingestion ? model ? evaluation ? deployment)
- Develop and optimize LLM-based solutions and agentic workflows
- Implement model evaluation frameworks (accuracy, performance, reliability, and business impact)
- Ensure high-quality data flow and decision-making logic across the AI lifecycle
- Architect scalable, production-grade AI systems
- Design solutions that go beyond local use cases and handle real-world scale, edge cases, and performance constraints
- Build systems that support orchestration, automation, and decision-making
- Write clean, efficient, and maintainable code (Go preferred or similar backend languages)
- Solve complex problems using strong data structure and algorithm fundamentals
- Participate in live coding and technical problem-solving environments
- Work closely with product, data, and engineering teams to define AI-driven solutions
- Translate business problems into scalable AI systems with measurable impact
AI / ML Expertise
• Hands-on experience building AI/ML or LLM-based systems in production environments
• Strong understanding of model evaluation approaches and performance metrics
• Ability to clearly explain AI workflows, model behavior, and decision points
• Experience with end-to-end pipelines (data ? model ? output)
Engineering Foundation
• Strong software engineering background (backend systems, APIs, distributed systems)
• Proficiency in Go, Python, or similar languages
• Solid understanding of data structures and algorithms
System Thinking
• Proven ability to design scalable systems (not just prototypes or local solutions)
• Experience handling edge cases, system trade-offs, and production constraints
Preferred Qualifications
• Experience with agentic AI / autonomous workflows
• Hands-on work with LLM frameworks and orchestration tools
• Experience building systems that make decisions or coordinate tasks autonomously
• Familiarity with cloud platforms (AWS, GCP, or Azure)
• Experience deploying and monitoring AI systems in production
Must have Qualification
• Engineers who have built real AI systems, not just integrated APIs
• Strong depth in AI/ML concepts combined with practical implementation
• Ability to think critically, explain reasoning, and work through problems live
• Focus on impact, scale, and real-world applications over theoretical knowledge
What Success Looks Like
• Builds scalable AI systems that operate reliably in production
• Demonstrates deep understanding of model behavior and system design
• Contributes to high-impact, real-world AI solutions
• Performs effectively under pressure and can clearly communicate technical thinking
AI Engineer (LLM / Agentic Systems) · Perfict Global, Inc.