Lead AI Engineer

Lead AI Engineer

Overview:
We are seeking a Lead AI Engineer to architect and implement advanced AI solutions that transform business operations and customer experiences. This role combines technical leadership with hands-on development, guiding the roadmap, building prototypes, and deploying production-grade AI applications. The ideal candidate will have strong engineering expertise, a product-focused mindset, and the ability to mentor teams in AI best practices.

Key Responsibilities:

• Define priorities and deliver early wins for a newly established AI-focused team.
• Develop AI-driven features across web, mobile, and enterprise platforms.
• Design and deploy LLM-powered applications, Retrieval-Augmented Generation (RAG) pipelines, and scalable APIs.
• Integrate AI capabilities into client-facing and internal systems in collaboration with product engineering teams.
• Act as a technical liaison between data engineering, software development, and product management.
• Establish AI governance, ethics, and transparency standards in partnership with security and compliance teams.
• Mentor engineers and foster AI fluency across the technology organization.
• Serve as the organization’s AI subject matter expert and advisor to business leaders.

Qualifications:

• 5+ years in software engineering or AI product development (experience in financial services or fintech is a plus).
• Proven track record delivering production-grade AI projects.
• Hands-on experience with:
  • Generative AI / LLM solutions (e.g., GPT, Claude, Llama).
  • Frameworks such as LangChain, Hugging Face, LlamaIndex.
  • RAG architectures and vector database integration.
• Strong proficiency in:
  • AWS services (Bedrock, Lambda, S3, etc.).
  • Full-stack development (React, Node.js, Python, or similar).
  • SQL / NoSQL data platforms.
  • RESTful API design and development.
• Familiarity with conversational UX, generative AI design principles, MLOps, and CI/CD pipelines.
• Understanding of responsible AI principles.
• Excellent communication skills with the ability to translate technical outcomes into business value.
• Entrepreneurial mindset and ability to thrive in a fast-paced environment.
• BS in Computer Science or related field.

Work Location:
Hybrid role requiring on-site presence 3 days per week at the designated office.