Manager, Software Engineer
Engineering Manager to lead the AI Engineering team at Vestwell. Responsibilities include building/scaling the team, defining AI technical architecture, delivering production-grade AI services (RAG, agents, LLM integrations), and partnering with cross-functional leaders. Requires 8+ years software engineering experience (3+ years managing teams), strong Python/AI/ML background, and cloud-native expertise.
About the job
Responsibilities
- Lead, mentor, and grow a team of AI software engineers, fostering a culture of technical excellence, ownership, and continuous learning.
- Drive engineering execution by establishing priorities, managing delivery, and ensuring predictable, high-quality outcomes.
- Define the technical architecture and engineering direction for AI platforms, services, and enterprise applications.
- Partner with Product, Design, Data Science, Security, and business stakeholders to translate business objectives into scalable technical solutions.
- Architect, build, and oversee the delivery of production-grade AI services with a focus on reliability, scalability, observability, and operational excellence.
- Guide the implementation of modern AI capabilities, including retrieval-augmented generation (RAG), AI agents, orchestration frameworks, and integrations with leading LLM providers.
- Establish engineering best practices for software development, testing, deployment, code quality, and operational support.
- Remain technically engaged by reviewing architecture, mentoring engineers, and contributing to key technical decisions and complex implementations when appropriate.
- Recruit, coach, and develop engineering talent while helping shape the long-term growth of the AI Engineering organization.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Physics, Mathematics, or a related technical field.
- 8+ years of professional software engineering experience, including at least 3+ years leading engineering teams.
- Proven experience building, delivering, and operating production software systems at scale.
- Experience leading engineering teams responsible for AI/ML-enabled products or platforms.
- Strong hands-on experience developing production applications in Python.
- Deep understanding of modern AI and machine learning concepts, including large language models (LLMs), retrieval-augmented generation (RAG), AI agents, and model orchestration frameworks.
- Experience integrating AI services using leading LLM providers and modern AI frameworks such as LangChain, LangGraph, or similar technologies.
- Experience designing cloud-native applications using AWS, Docker, and modern deployment and CI/CD practices.
- Experience with relational databases (PostgreSQL preferred) and distributed application architectures.
- Strong understanding of software engineering best practices, including testing, observability, security, code review, and operational excellence.
- Demonstrated ability to recruit, mentor, and develop high-performing engineering teams.
- Excellent communication and collaboration skills with the ability to influence technical and non-technical stakeholders.
- Experience working in Agile development environments using tools such as GitHub, Jira, and Jenkins (or equivalent).
Nice-to-Haves
- Experience in financial technology or regulated industries.
- Startup or high-growth company experience.
- Experience building and scaling AI platforms used across multiple products or business functions.
- Experience leading engineering organizations through rapid growth or organizational change.
Skills
Python, AWS, Docker, Postgres, LLMs, RAG, LangChain, LangGraph, CI/CD, GitHub, Jira, Jenkins
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