We are seeking an AI Engineer - Lead to contribute to our next level of growth and expansion.
What is this position about?
We are looking an AI Engineer to drive the design, architecture, and production deployment of advanced Generative AI solutions. This role will be responsible for leading the technical direction of LLM-based systems, agentic workflows, and applied AI initiatives, while collaborating closely with Engineering, Product, and ML Ops teams. The role requires strong hands-on expertise combined with technical leadership capabilities.
Job Description
Architect and lead the implementation of production-grade AI solutions leveraging LLMs, transformer-based models, RAG pipelines, and agentic systems.
Design, develop, and optimize multi-step AI agents capable of tool/API invocation, reasoning chains, and state management.
Oversee the deployment of AI-powered applications across cloud environments (AWS, Azure, or GCP) ensuring scalability, reliability, and cost-efficiency.
Establish best practices for prompt engineering, evaluation frameworks, and model performance monitoring (latency, grounding, factuality, cost).
Implement guardrails and Responsible AI practices, including prompt injection mitigation, content moderation, bias reduction, and safety controls.
Collaborate cross-functionally with Data Scientists, Software Engineers, and Product stakeholders to take AI solutions from prototype to full production ownership.
Mentor and guide junior and mid-level engineers, ensuring high-quality, modular, and maintainable Python code standards.
Drive experimentation strategies, define KPIs, and promote data-driven decision-making across AI initiatives.
