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Tech Stack
Tools & technologiesAngularAWSAzureCloudEmber.jsJavaScriptNode.jsPythonReactTypeScriptVue.js
About the role
Key responsibilities & impact- Mentor, inspire, and grow a diverse team of engineers, fostering a culture of craftsmanship, curiosity, and continuous learning in applied AI.
- Manage the team through hiring, retaining, mentoring, and continuously building individual and team capabilities in modern AI engineering best practices.
- Act as an embedded engineering partner to the product organization, championing AI-first approaches to feature delivery and accelerating squads' ability to leverage AI infrastructure.
- Lead the technical direction and execution for AI initiatives, including agent workflow development, MCP tooling, and the internal AI chat assistant.
- Develop and nurture strong relationships with Product, QA, Delivery, Design, Customer Support, GTM, and other partners to deliver best-in-class AI-powered experiences.
- Own end-to-end build and delivery of AI solutions, features, and services within Optro's platform, collaborating closely with the AI Platform team for core infrastructure.
- Continuously improve all aspects of the product lifecycle, technical systems, engineering processes, and team practices, to deliver outstanding results for customers.
- Collaborate closely with Product Management to define goals, objectives, and the roadmap for AI Applications initiatives, ensuring alignment with business priorities.
- Champion agile best practices, ensuring clarity, transparency, and efficient delivery across your team and the broader organization.
Requirements
What you’ll need- 5+ years of engineering experience, with 2+ years in an engineering management role leading teams building and shipping production AI or software systems.
- Demonstrated ability to be a technical mentor and engineering role model, someone engineers look to for guidance on architecture, code quality, and engineering culture.
- Strong proficiency with Python and modern server-side development; comfort with TypeScript/Node.js is a plus.
- Experience with AWS (preferred) or Azure cloud environments and modern deployment practices.
- Track record of partnering with Product teams to drive delivery velocity and quality.
- Solid understanding of modern agent frameworks and how to apply them to build reliable, production-grade AI workflows (e.g., LangGraph, LangChain, or comparable tooling).
- Experience deploying agents in production including observability, tracing, failure handling, and performance considerations.
- Familiarity with vector databases, semantic search, or RAG-adjacent technologies at the application integration level.
- Familiarity with the Model Context Protocol (MCP) and experience building or consuming tool-based AI integrations.
- Bonus: Experience building or maintaining AI-assisted chat or conversational interfaces.
- Bonus: Experience with modern JavaScript frameworks (Ember preferred; Vue, React, or Angular also valued) for front-end collaboration.
- Bonus: Understanding of ethical AI principles and responsible AI development practices.
- Bonus: Experienced working in a highly regulated, ARC (Audit, Risk, and Compliance) environment.
- Preferred: Managed remote or distributed engineering teams.
- Preferred: Experience in an agile development environment and with modern project management tooling.
- Preferred: Strong B2B SaaS product experience.
- Preferred: Comfort operating in a fast-moving environment where the AI tooling landscape evolves rapidly.
Benefits
Comp & perks- Offers Bonus
- 15% Annual Target Bonus
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonTypeScriptNode.jsAWSAzureagent frameworksLangGraphLangChainvector databasesModel Context Protocol
Soft Skills
mentoringleadershipcollaborationcommunicationagile best practicesteam buildingrelationship managementproblem-solvingcuriositycontinuous learning