Senior Software Engineer - AI Agentic Engineer (534)

Ready to take the next step in your international career? We can support you!

Ubiminds is a GPTW-certified, people-first company that partners with American software product companies to scale their global teams. We connect top LATAM talent with international product companies while providing full employer-of-record support and long-term career development.

In this opportunity, you will join an innovative engineering organization focused on building AI-powered products and agentic workflows. The team is investing heavily in AI capabilities and seeks senior technical leaders who can help shape the future of AI adoption, architecture, and engineering culture.

We are looking for a Senior/Staff-level AI Agentic Engineer who can combine deep software engineering expertise with practical AI experience to build production-grade AI systems.

This role goes beyond experimentation. You will design and deliver AI-powered products, own initiatives end-to-end, and help establish best practices for AI development across the organization.

You will operate with a high degree of autonomy, collaborate closely with Product teams, and influence the technical direction and AI culture of the company.

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  Build agentic workflows and AI-powered products.

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  Design and deliver production-grade AI solutions from concept to deployment.

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  Collaborate closely with Product and Engineering teams to deliver high-quality software.

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  Take ownership of ambiguous problems and drive initiatives end-to-end.

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  Mentor engineers and help elevate the team's AI capabilities.

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  Contribute to the evolution of AI standards, patterns, and engineering practices.

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  Develop scalable and maintainable solutions in a polyglot environment.

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  Promote strong collaboration and transparent communication across teams.

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  Influence the technical direction and AI culture of the organization.

• 8+ years of experience in Software Engineering, Machine Learning, or AI-related roles.

• Strong proficiency in TypeScript.

• Experience with LangGraph, LangSmith, and MCP Servers.

• Proven track record building and deploying production AI/ML systems.

• Experience across the full ML lifecycle, including data preparation, modeling, evaluation, deployment, and monitoring.

• Hands-on experience with LLMs, Retrieval-Augmented Generation (RAG), and modern AI approaches.

• Strong proficiency with Python or another major AI/ML language.

• Ability to work effectively in polyglot environments.

• Experience building products from 0→1 with high autonomy.

• Strong communication skills and collaborative mindset.

• Advanced English communication skills.

• Strong experience with Python.

• Experience with Ruby or Django for integrations.

• Experience designing feature stores, embedding systems, or ML observability platforms.

• Familiarity with large-scale APIs and high-throughput backend systems.

• Experience with infrastructure supporting ML workloads.

• Background with orchestration, monitoring, and experiment tracking tools.

• Experience mentoring engineers and driving AI adoption.

• Passion for API-driven products and engineering excellence.

• Experience with incident response, monitoring, and CI/CD improvements.

• Background in distributed systems or infrastructure-heavy products.

• Highly autonomous engineering culture.

• Strong collaboration between Engineering and Product teams.

• Opportunity to influence AI strategy and technical direction.

• Fast-paced environment focused on innovation and experimentation.

• High-impact role with visibility across the organization.

• Culture centered around mentorship, ownership, and continuous improvement.

People First. We are all about people!

Challenge yourself. There’s always room for improvement and continuous improvement is in our essence.

Make it happen. Be ready to take challenges as they come. It’s all about attitude and commitment.

We’re in this together. We work as a team, thrive as a team, and evolve as a team.

Averaging on awesome. We work hard to deliver high-quality services and look forward to exceeding expectations.

Keep it real. We promise you honesty, transparency, and openness, regardless of the situation.

1. Interview with Tech Recruiter (chat about the role and your experience)

2. Client process (may vary)

3. Offer 🎉

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.