What You'll Do

• Own AI solutions end-to-end, from concept to production and ongoing optimization
• Architect LLM-powered applications, multi-agent workflows, and autonomous systems
• Orchestrate LLMs through advanced prompt engineering and fine-tuning
• Deploy and monitor AI services in production, tracking quality, hallucination rates, and decision accuracy
• Build scalable, cost-effective infrastructure with automated evaluation and fallback mechanisms
• Ensure security, compliance, and rapid iteration based on user feedback

What You'll Bring

• 5+ years in AI/ML engineering or software development, with production AI deployment experience
• Degree in Computer Science (or equivalent) with strong AI/ML/NLP foundations
• Strong Python skills, familiarity with Java/Kotlin, and solid API design experience
• Hands-on experience with LangChain, LangGraph, and LLM APIs (OpenAI, Anthropic, etc.)
• Skilled in prompt engineering and orchestrating AI agents/chatbots
• Familiarity with cloud AI services (Azure preferred), Docker/Kubernetes, CI/CD, and monitoring
• Strong debugging, collaboration, and continuous-learning mindset