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About the Role

We’re seeking a hands-on Engineering Manager - Agentic AI to lead and grow the team building our next-generation AI-powered business platforms. This is a high-impact role for a leader who is technically deep, driving the technical strategy for applying Large Language Models (LLMs) and Deep Learning to real-world business problems. You will lead a team of engineers in leveraging AI technologies to architect secure, production-grade solutions and ensure our underlying AI infrastructure remains scalable, robust, and cost-optimized.

Responsibilities

Mentor and grow a cross-functional team of AI and software engineers, fostering a culture of technical excellence, psychological safety, and rapid experimentation.
Architect and build AI-native services, moving from prototype to production, including designing advanced RAG pipelines and orchestrating agents for multilingual support and product distribution.
Establish best practices for GenAI and MLOps, including prompt management, model deployment, cost management, and responsible AI.
Actively participate in code reviews, design docs, and architectural discussions, capable of diving into the codebase to unblock the team or fix critical issues.
Serve as the bridge between Product and Engineering, clearly communicating the capabilities and limitations of current deep learning models and GenAI technologies.

Requirements

7+ years software engineering experience with Python backends, including 2+ years leading engineers as a manager that growing people while shipping.
Experience taking LLM-powered products from prototype to production, including managing evals, guardrails, cost and latency budgets, incident response, and iterating on user feedback.
Hands-on depth in agentic systems, tool use, multi-step orchestration, RAG, and memory.
Experience building data and insights products: turning messy operational data into analytics, decision support, or natural-language interfaces.
Fluency across the modern AI stack (agent frameworks, vector stores, model APIs and open-weight models, Kubernetes).
Strong grasp of LLM fundamentals — transformers, embeddings, fine-tuning trade-offs.
Experience managing SLAs, uptime, and incident response for critical production services.
Ability to analyze business problems and frame it for AI, critically evaluating model outputs, questioning assumptions and identifying potential biases.
Embodies CG values—bold experimentation, purposeful innovation and authentic collaboration across diverse, global teams.

Skills

Python
Large Language Models (LLMs)
Deep Learning
AI
GenAI
MLOps
RAG (Retrieval-Augmented Generation)
Agentic systems
Tool use
Multi-step orchestration
Memory
Data and insights products
Modern AI stack
Agent frameworks
Vector stores
Model APIs
Open-weight models
Kubernetes
LLM fundamentals
Transformers
Embeddings
Fine-tuning
SLAs
Uptime
Incident response

Location

Hybrid

Work Type

Hybrid
Full-time

Experience Level

7+ years software engineering experience
2+ years leading engineers as a manager

Benefits

Flexible Work Environment
Wellness day a month
Employee Stock Options
CG Gives programs

About the Company

Cover Genius is a Series E insurtech that protects the global customers of the world’s largest digital companies including Booking Holdings, Intuit, Uber, Hopper, Ryanair, Turkish Airlines, Descartes ShipRush, Zip and SeatGeek.
Partners integrate with XCover, our award-winning insurance distribution platform, to embed protection for millions of customers worldwide each year.
Our team and products have been recognized with dozens of awards, including by the Financial Times which ranked Cover Genius as the #1 fastest-growing company in APAC in 2020.
Our diverse team across 20+ countries and many language groups commit itself to diverse cultural programs, in particular “CG Gives” which makes social entrepreneurs out of us all and funds development initiatives in global communities.
Our People are Bold, Authentic, Purposeful and Inspired.
Our People are not Perfect, Traditional, Complacent or Cautious.

Equal Opportunity

Cover Genius promotes diversity and inclusivity. We don't tolerate discrimination, demeaning treatment of anyone, or harassment due to race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.