Full Stack Software Engineer
Launch Mobility, Inc.
AndroidAngularApacheAWSCloudDockerGraphQLJavaJavaScriptjQueryKubernetesMongoDB+4 more
AI Growth Lead, Staff Software Engineer
Coinbase
full-time
Posted on:
Location Type: Hybrid
Location: 🇺🇸 United States
Visit company websiteSalary
💰 $218,025 - $256,500 per year
Job Level
Senior
Tech Stack
GoMicroservicesPython
About the role
- Serve as the AI Automation DRI for assigned AI Growth Pods, driving initiatives from ideation to initial implementation and broader productionalization
- Lead AI opportunity discovery by partnering with leaders and teams to understand workflows, identify pain points, and translate business challenges into actionable AI use cases
- Design and prototype AI solutions applying GenAI techniques (LLMs, Agentic AI) and rapidly build functional prototypes (AI agents, custom copilots, intelligent workflows)
- Write high-quality, well-tested code in Python and Golang to support prototypes and solutions
- Collaborate with cross-functional teams to evolve prototypes into scalable, secure, production-grade AI solutions
- Act as an internal consultant and accelerator providing guidance on AI capabilities, responsible AI usage, and prompt engineering best practices
- Drive adoption and enablement by piloting solutions, gathering feedback, iterating on prototypes, and supporting roll-out to functional teams
- Partner with central AI Platform and DevX teams to leverage infrastructure and ensure scalability and security
- Work with Security, Legal, and Compliance to ensure AI solutions adhere to security, privacy, and ethical guidelines
- Define success metrics, track ROI, and communicate impact to stakeholders
- Continuously research and experiment with emerging AI models, tools, and industry best practices
Requirements
- 8+ years of experience in software engineering or a highly analytical, operational, or technical role
- At least 1+ years focused on applied AI, Generative AI, or intelligent automation
- Strong understanding of LLM capabilities, limitations, and architectures (e.g., RAG, agents, fine-tuning concepts)
- Hands-on experience with AI tools and platforms (e.g., enterprise LLMs like Gemini/Claude, no-code/low-code automation platforms, agent frameworks LangChain/LangGraph, Python)
- Proven ability to rapidly prototype and demonstrate working solutions
- Background in AI/LLM infrastructure is a plus
- Proven expertise in designing, building, scaling, and maintaining production services, with a strong understanding of microservices architecture
- Ability to write high-quality, well-tested code in Python and Golang
- Strong technical skills in system design, coding, and debugging complex technical issues
- Demonstrated ability to understand complex business processes and translate them into technical requirements and AI opportunities
- Strong ROI-driven mindset with experience quantifying business value from technology initiatives
- Outstanding written and verbal communication skills and proven track record of influencing stakeholders in a matrixed organization
- Highly analytical and structured problem-solver, comfortable with ambiguity and rapid iteration
- Experience working cross-functionally with legal, security, compliance, and engineering teams
- Strong understanding of data privacy, security, and ethical considerations related to AI
- Nice to haves: Experience in BizOps, Data Science, Data Engineering, or Product Engineering with a strong focus on automation; prior experience building or implementing AI agents or advanced workflow automation solutions; active participation in the broader AI community
Benefits
- target bonus
- target equity
- benefits (including medical, dental, vision and 401(k))
- Team and company-wide offsites held multiple times annually (attendance expected and fully supported)
- Reasonable accommodations for individuals with disabilities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonGolangGenerative AILLM capabilitiesmicroservices architecturesystem designdebuggingprototypingAI automationagent frameworks
Soft skills
communicationproblem-solvinganalytical thinkingstakeholder influencecollaborationadaptabilitystructured thinkingfeedback gatheringiterationconsulting
