Artificial Intelligence Engineer

This is a hands-on role with real ownership. You will help define how AI is built, deployed, and operated across the company, and will play a key role in establishing strong AI and AI operations foundations.

Key Responsibilities

• Design, build, and iterate on autonomous AI agents
• Improve current agentic systems and build new ones from prototype to production
• Architect agentic workflows involving planning, tool usage, memory, and feedback loops
• Select, train, fine-tune, and evaluate models for real-world constraints such as latency, cost, and robustness
• Implement AI systems using modern agent frameworks and orchestration tools
• Partner with Data Engineers to define, curate, and maintain high-quality training and evaluation datasets
• Work closely with product and engineering teams to translate user problems into AI-driven solutions
• Establish best practices for AI security, data privacy, and responsible deployment
• Contribute to building AI operations foundations including deployment pipelines, monitoring, and model governance

Required Experience and Skills

• 3+ years of hands-on experience in applied AI
• Strong hands-on experience building and operating AI agents including planning agents, tool-using agents, and learning agents
• Experience with modern agent frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or equivalent
• Solid understanding of agent architectures including memory management, planning loops, tool invocation, and feedback-driven learning
• Experience designing multi-agent workflows and coordination patterns is a strong plus.
• Experience in model selection, training, fine-tuning, optimization, evaluation, and testing
• Strong understanding of data security, application security, and AI-specific risk considerations
• Ability to collaborate closely with engineering, product, and data teams

Strong Plus Qualifications

• Experience deploying and operating AI systems at scale using MLOps or AI Ops practices
• Familiarity with observability, monitoring, and evaluation of agent behavior in production
• Experience optimizing AI systems for cost, latency, and reliability
• Exposure to multi-agent systems or complex workflow orchestration
• Experience working in early-stage or fast-moving product environments