Lead AI Engineer

Role Summary

Xitricon is seeking a proactive Lead AI Engineer to serve as a foundational member of our AI Platform Engineering team. This leadership position requires a self-starter capable of transforming ambiguous, high-stakes challenges into structured, end-to-end technical solutions. Beyond engineering, you will be instrumental in mentoring staff and establishing technical benchmarks for the organization.

Key Responsibilities

• Solution Engineering: Design and manage the full lifecycle of enterprise AI products, from initial concept to live production, including LLM orchestration and tool integration.
• System Integration: Connect AI functionalities with existing enterprise infrastructures such as ERPs, CRMs, and various APIs.
• Architecture & Governance: Partner with architects to ensure AI systems are scalable and secure, while implementing monitoring, logging, and compliance controls.
• Leadership: Elevate the technical proficiency of junior and mid-level engineers through mentorship, code reviews, and fostering a culture of experimentation.

Requirements & Qualifications

• Experience: Over 6 years of practical AI/ML engineering experience with a track record of deploying scalable, production-ready systems.
• Technical Expertise: Advanced proficiency in Python, Agentic AI frameworks, RAG architectures, and Generative AI.
• Infrastructure: Familiarity with cloud environments (AWS, Azure, or GCP), containerization, and microservices.
• Education: A Master's degree in Computer Science, Data Science, Engineering, or a related discipline is preferred.
• Soft Skills: Ability to communicate complex technical concepts to business stakeholders and work independently under minimal supervision.

How to Apply

Please monitor our LinkedIn page for updates regarding our current openings. Note that only shortlisted candidates will be contacted for further steps.