Artificial Intelligence Engineer

senior technology leader who builds AI-based products and guides teams on how to use AI effectively in large software applications.

Think of it as a mix of:

• AI Expert

• Software Architect

• Technical Team Lead

• Innovation Strategist

What will this person do?

Build AI-powered applications using technologies like ChatGPT, OpenAI, Anthropic, etc.

Design systems where AI can search company data, understand questions, and provide accurate answers (RAG - Retrieval Augmented Generation).

Develop AI agents that can perform multiple tasks and make decisions step-by-step.

Integrate AI models into products used by customers in legal, tax, risk, and compliance domains.

Decide the overall technical architecture and guide engineering teams on best practices.

Lead proof-of-concepts (POCs) and evaluate new AI technologies.

Ensure AI systems are secure, ethical, compliant, and perform well at scale.

Mentor engineers and influence product direction.

Work closely with Product Managers, Researchers, Architects, and Leadership teams.

What kind of candidate are they looking for?

Experience

• 8+ years in software engineering.
• 4+ years leading AI/ML projects or teams.
• Experience building AI products used in production by customers.

Technical Skills

Strong expertise in:

• Python
• Machine Learning
• LLMs (Large Language Models)
• OpenAI / Anthropic APIs
• RAG systems
• AI Agents
• Vector Databases
• Embeddings & Semantic Search
• MLOps / LLMOps

Cloud & Infrastructure

Experience with:

• AWS / Azure / GCP
• Docker
• Kubernetes
• Terraform
• Microservices

Leadership Skills

• Technical mentoring
• Architecture decisions
• Stakeholder management
• Driving innovation and strategy

Target Companies

Good profiles may come from:

• Microsoft
• Google
• Amazon
• Thomson Reuters
• Salesforce
• ServiceNow
• Oracle
• SAP
• IBM
• Nvidia
• Adobe
• Intuit
• Cohere
• OpenAI ecosystem partners
• AI startups building GenAI products

Simple One-Line Summary

Looking for a senior AI engineering leader who has built and scaled GenAI/LLM-based products (RAG, Agents, OpenAI integrations) on cloud platforms and can drive both technical architecture and team leadership.