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AI-Native Fullstack Engineer - Tech Lead

1 hour, 31 minutes ago
Spain, Bulgaria, Poland, Portugal, Romania, Ukraine
Full-time
Lead
Full-stack Engineer
Software Development
AWS Azure C# CI/CD GCP JavaScript LLM Machine Learning Python TypeScript
Apply Now
Trinetix

Trinetix

Trinetix provides comprehensive software product engineering and design services to Fortune 500 companies and emerging brands, enabling them to innovate and enhance their digital operations for sustainable growth in a competitive landscape.

Internet Software & Services
251-1K
Founded 2011
View All Jobs 13

Description

  • Own the technical vision and execution for a portfolio of proof-of-concepts from initial research through working prototype.
  • Lead a small engineering team by setting direction, reviewing work, growing people, and keeping the group focused and motivated.
  • Run lightweight research to scope problems, survey the landscape, form hypotheses, and define what a successful prototype must prove.
  • Translate fuzzy ideas into concrete plans with clear milestones and execute against them.
  • Build fullstack solutions including backend services, frontends, data pipelines, and supporting integration layers.
  • Use AI tooling to accelerate development and build products that embed LLMs, agents, retrieval, and related techniques where valuable.
  • Make pragmatic build-vs-buy and scope decisions that balance speed with the parts that need to be solid.
  • Partner with product, design, and leadership to decide which prototypes should graduate into products.
  • Write the first prototype yourself while also coaching teammates through theirs.

Requirements

  • Proven technical leadership experience leading a team or owning a major workstream, setting technical direction, and shipping through others.
  • Strong fullstack engineering experience across backend and frontend in at least two of C#, Python, and JavaScript/TypeScript, with comfort picking up the third.
  • Hands-on experience building LLM-powered products, including prompting, RAG, agents, and evals.
  • Fluent with AI development tools and an AI-native way of working.
  • Self-directed and comfortable with ambiguity, able to define the problem and drive it to a result.
  • Cloud experience with AWS, Azure, or GCP.
  • Enough DevOps experience to ship prototypes, including CI/CD, containers, deployment, and observability.
  • Working understanding of ETL/ELT, data warehouses, and lakehouse concepts is valued.
  • Hands-on data engineering depth is a bonus but not required.
  • Nice to have experience taking a 0→1 product or prototype to real users or market validation.
  • A standout specialty such as distributed systems, ML/AI, frontend architecture, or data engineering is a plus.
  • Background in a startup, R&D lab, or innovation team where speed and ownership were the norm is preferred.
  • Familiarity with experiment design, rapid user testing, or other low-cost validation methods is a plus.

Benefits

  • Continuous learning and career growth opportunities.
  • Professional training and English/Spanish language classes.
  • Comprehensive medical insurance.
  • Mental health support.
  • Specialized benefits program covering fitness activities, hobbies, pet care, and more.
  • Flexible working hours.
  • Inclusive and supportive culture.

Interested in this position?

Apply directly on the company website

Apply Now

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