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Trinetix

Create. Innovate. Productize.

AI-Native Fullstack Engineer – Tech Lead

Full-stack EngineerSoftware EngineerFull TimeRemoteSeniorTeam 501-1,000H1B SponsorCompany SiteLinkedIn

Location

Ukraine

Posted

5 days ago

Salary

0

Seniority

Senior

Job Description

AI-Native Fullstack Engineer – Tech Lead

Trinetix

• 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.

Job Requirements

  • 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

  • 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

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