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Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsETLGoogle Cloud PlatformJavaScriptPythonTypeScript
About the role
Key responsibilities & impact- Own the technical vision and execution for a portfolio of PoCs, from initial research through working prototype.
- Lead a small engineering team — set direction, review work, grow people, and keep the group focused and motivated.
- Run lightweight research: scope a problem, survey the landscape, form a hypothesis, and define what a successful prototype must prove.
- Translate fuzzy ideas into concrete plans with clear milestones, then execute against them.
- Build fullstack — backend services, frontends, data pipelines, and the glue between them.
- Work AI-first: use AI tooling to accelerate development, and build products that embed LLMs, agents, retrieval, and related techniques where they create real value.
- Make pragmatic build-vs-buy and “good enough for a PoC” calls, balancing speed against the parts that need to be solid.
- Partner with product, design, and leadership to decide which bets graduate from prototype to product.
Requirements
What you’ll need- Proven technical leadership — has led a team or owned a major workstream, set technical direction, made the call on what to build, and shipped through others.
- Strong fullstack engineering with real AI-building depth — production experience across backend and frontend in at least two of C#, Python, and JavaScript/TypeScript (comfortable picking up the third), and a genuinely AI-native way of working: fluent with AI dev tools and hands-on experience building LLM-powered products.
- Genuinely self-directed and motivated — thrives with ambiguity, defines the problem when no one hands it to them, and drives it to a result.
- Cloud experience (AWS, Azure, or GCP) and enough DevOps to ship — CI/CD, containers, getting a prototype deployed, observable, and demo-able. PoC-grade is fine; you don’t need to be an infra specialist.
- Working understanding of ETL/ELT, data warehouses, and lakehouse concepts — enough to design a sensible pipeline and reason about how data flows through a prototype.
- Experience taking a 0→1 product or prototype to real users or market validation.
- A standout specialty (distributed systems, ML/AI, frontend architecture, or data engineering) on top of the breadth.
- Background in a startup, R&D lab, or innovation team where speed and ownership were the norm.
- Familiarity with experiment design, rapid user testing, or other cheap ways to validate an idea.
Benefits
Comp & perks- Continuous learning and career growth opportunities
- Professional training and English/Spanish language classes
- Comprehensive medical insurance
- Mental health support
- Specialized benefits program with compensation for fitness activities, hobbies, pet care, and more
- Flexible working hours
- Inclusive and supportive culture
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
fullstack engineeringC#PythonJavaScriptTypeScriptAI development toolsETLELTdata pipelinesDevOps
Soft Skills
technical leadershipself-directedmotivatedproblem definitionteam directioncommunicationcollaborationadaptabilityuser testinginnovation