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Tech Stack
Tools & technologiesAngularCloudGoogle Cloud PlatformJavaJavaScriptKubernetesPythonReactTypeScriptVue.js
About the role
Key responsibilities & impact- Implement Sophisticated AI Agents: Design, build, and deploy complex AI agents using LangChain and LangGraph
- Master Prompt & Context Engineering: Design, test, and refine complex prompts and contextual data frameworks to ensure our AI agents perform with maximum accuracy, efficiency, and reliability
- Lead AI Research & Innovation: Stay at the bleeding edge of AI
- Build for Production Scale on GCP: Engineer and operate our AI systems in a scalable, reliable production environment on Google Cloud Platform
- Champion MLOps for Agentic Systems: Establish and lead best practices for the reliability, versioning, monitoring, and observability of our AI agents
- Collaborate to Deliver Impact: Partner closely with product leaders, data scientists, and other engineers to translate business needs into technical reality
- Champion modern software development practices by actively using AI code-assist tools to accelerate development cycles
- Build, manage, and mentor a cross-functional team of software, quality, and reliability engineers, fostering a culture of technical excellence and continuous improvement
- Define and report on key engineering metrics (SLA, SLO, SLI) and ensure compliance with security, quality, and financial operations best practices
- Collaborate with product managers, architects, SREs and business partners to define technical strategy and create software roadmaps
- Lead troubleshooting efforts to resolve production and customer issues
Requirements
What you’ll need- Bachelor's degree or equivalent experience
- 7+ years in software engineering, with a strong track record of technical leadership and shipping complex, scalable systems
- Experience in a dedicated AI/ML role, with hands-on experience in model integration, MLOps, and applying AI to solve business problems
- Direct experience architecting and building solutions with LangChain, LangGraph, or similar agentic AI frameworks
- In-depth experience with Google Cloud Platform (GCP) , specifically its AI/ML services (Vertex AI, etc.)
- 3+ years of proven experience leveraging Kubernetes workloads
- Proficiency in Python, JavaScript/TypeScript and/or Java and working knowledge of a modern front-end framework (Angular, React, or Vue) to collaborate effectively with UI teams
- Hands-on experience with LLM observability tools like Langfuse for monitoring and debugging agentic workflows
Benefits
Comp & perks- Comprehensive compensation and healthcare packages
- 401k matching
- Paid time off
- Organizational growth potential through our online learning platform with guided career tracks
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
AI agentsLangChainLangGraphMLOpsGoogle Cloud PlatformKubernetesPythonJavaScriptTypeScriptJava
Soft Skills
technical leadershipcollaborationmentoringproblem-solvingcontinuous improvement
Certifications
Bachelor's degree