This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Full Stack Engineer in Portugal, Spain, Brazil, Mexico, and New York (USA).

This role offers the opportunity to design, build, and scale innovative AI-powered products that directly impact consumer brands’ marketing operations. You will work across front-end and back-end systems, ensuring seamless integration between APIs, databases, UIs, and machine learning services. The position provides ownership over feature development, architecture decisions, and mentoring peers, in a fast-paced environment where priorities evolve rapidly. Ideal candidates are hands-on engineers with a strong product mindset, technical versatility, and experience in integrating AI/ML models into production systems. This role also offers equity participation, exposure to high-growth consumer brands, and the chance to shape engineering culture from the ground up.

Accountabilities:

Architect, develop, and maintain full-stack features, including database schemas, APIs, and React components.
Build and optimize RESTful and GraphQL APIs, data pipelines, and distributed services.
Integrate, prompt, and debug LLMs and generative AI tools; manage retrieval-augmented generation (RAG) or fine-tuning pipelines.
Ensure front-end and back-end systems interoperate efficiently, minimizing friction and optimizing data flow.
Collaborate with product, research, design, and infrastructure teams to define requirements, iterate rapidly, and deliver production-grade code.
Monitor application performance, reliability, and security; troubleshoot issues as they arise.
Mentor junior engineers through code reviews, architecture reviews, and sharing best practices.

Requirements

5+ years of professional experience in full-stack software engineering with end-to-end ownership.
Deep expertise in Python, Node.js, React/TypeScript, and PostgreSQL.
Hands-on experience with cloud platforms (preferably GCP), containerization (Docker/Kubernetes), and high-traffic system design.
Proven ability to integrate AI/ML models (LLMs, NLP, RAG) into production applications.
Strong problem-solving skills with a product mindset, balancing technical details and end-user experience.
Familiarity with or strong interest in MCP servers and AI/ML infrastructure workflows.

Nice to Haves:

Experience with multi-step or agentic AI workflows.
Background in AI infrastructure or tooling companies.
Contributions to open-source AI/ML projects.

Benefits

Competitive salary and equity package with potential growth as the company scales.
Top-tier health, vision, and dental insurance (for US-based candidates).
Remote work flexibility across multiple international locations.
Regular team off-sites and hack weeks.
Opportunity to work directly with fast-growing consumer brands and influence product and technical strategy.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly:
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps, including interviews or additional assessments, are then made by their internal hiring team.

Thank you for your interest!

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