Responsibilities

• Lead and mentor a team of AI/ML engineers and software developers.
  

• Drive design and architecture decisions for AI-native platforms and agent-based systems.
  

• Establish coding, review, and engineering quality standards across the team.
  

• Own end-to-end delivery of AI initiatives from design to production.
  

Hands-On Development

• Build and scale production-grade AI agents and multi-agent workflows.
  

• Design and implement systems using frameworks such as LangGraph, LangChain, or equivalent orchestration frameworks.
  

• Develop robust Retrieval Augmented Generation (RAG) pipelines and knowledge grounding strategies.
  

• Implement prompt engineering strategies, evaluation mechanisms, and optimization workflows.
  

• Contribute to fine-tuning and model adaptation strategies where applicable.
  

Engineering Excellence

• Conduct design reviews, code reviews, and technical mentoring.
  

• Ensure solutions are reliable, scalable, cost-efficient, and auditable.
  

• Establish best practices for observability, evaluation, and guardrails in AI applications.
  

• Drive adoption of modern AI development tooling and workflows.
  

Collaboration & Strategy

• Partner with product teams and business stakeholders to translate use cases into technical solutions.
  

• Collaborate with customer-facing teams to support solution design and technical discovery.
  

• Contribute to long-term AI engineering roadmap and platform strategy.
  

Requirements

Leadership & Engineering

• 8+ years of software engineering experience with at least 2+ years in technical leadership roles.
  

• Proven experience leading and mentoring engineering teams.
  

• Strong hands-on coding experience and ability to review and guide production code.
  

AI & GenAI Expertise

• Strong experience building AI agents or agent-based workflows.
  

• Hands-on experience with frameworks such as:
  

• LangGraph
  

• LangChain
  

• Or similar AI orchestration frameworks
  

• Strong understanding of prompt engineering techniques and optimization strategies.
  

• Experience building and scaling RAG pipelines.
  

• Familiarity with fine-tuning and model customization approaches.
  

AI Tooling & Developer Productivity

• Practical experience using AI coding and development tools such as:
  

• Claude Code
  

• GitHub Copilot
  

• Cursor
  

• Codex or similar tools
  

Programming & Systems

• Strong software development fundamentals and system design skills.
  

• Python is preferred; however, strong experience in any backend language is acceptable.
  

• Experience designing distributed and scalable systems is a plus.