Software Engineering Manager

What you'll do

• Architect and design scalable, secure, production-ready GenAI applications using LLMs and RAG pipelines.
• Build and orchestrate multi-agent AI systems and tool-calling frameworks like LangChain and LangGraph.
• Lead a team of engineers by conducting code reviews, establishing best practices, and mentoring junior staff.
• Rapidly develop Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) to test emerging AI models.
• Implement LLMOps including monitoring, caching, prompt versioning, cost tracking, and evaluation guardrails.
• Fine-tune and deploy open-source models to meet specific business requirements and security protocols.
• Partner with product managers and data scientists to align technical deliverables with organizational goals.

What we're looking for

• 7+ years of relevant experience or an equivalent combination of education and experience.
• Bachelor’s Degree in a relevant field or equivalent.
• Software engineering experience.
• 5+ years of machine learning engineering experience.
• 2+ years of hands-on experience building and deploying GenAI/LLM enterprise applications.
• Advanced proficiency in Python and cloud-native development (AWS, Azure, or Google Cloud).
• Deep practical knowledge of RAG architectures, vector search, prompt engineering, and orchestration libraries like LangChain or LlamaIndex.
• Experience fine-tuning open-weight foundation models.