AI Engineer (LLM / Agentic Systems)

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 System Design & Scalability 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 Cross‑Functional Collaboration Work closely with product, data, and engineering teams to define AI‑driven solutions Translate business problems into scalable AI systems with measurable impact Must have 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) Strong software engineering background (backend systems, APIs, distributed systems) Proficiency in Go, Python, or similar languages Solid understanding of data structures and algorithms Proven ability to design scalable systems (not just prototypes or local solutions) Experience handling edge cases, system trade‑offs, and production constraints 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 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 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 #J-18808-Ljbffr Perfict