Want to work with the latest technologies on projects that include Deep Learning, Computer Vision, NLP, LLMs, Recommender systems, Data science, and more?

🌟 What do we offer?

• Challenging projects: Lead delivery in ambiguous and evolving AI environments.

• State-of-the-art tech: Work with LLMs, RAG, AI Agents, and Foundation Models.

• Professional Growth: Opportunity to join a growing startup with multiple development opportunities.

• High-Impact Environment: Work on stuff other people only read about with talented, motivated professionals.

• Flexibility: Opportunity to work on-site and remotely.

🧑🏻‍💻 Responsibilities:

• Delivery Ownership: Take end-to-end ownership of project outcomes (scope, timelines, quality, and risks) for high-profile global clients.

• Execution Excellence: Remove non-technical blockers, adapt staffing, and ensure agreed delivery processes are followed and optimized.

• Technical Judgment: Evaluate trade-offs and challenge assumptions to guide decisions, acting as a bridge between technical teams and business value.

• Stakeholder Management: Build strong operational trust with enterprise clients, managing expectations transparently regarding risks and changing priorities.

• Team Leadership: Build and develop high-performing teams, ensuring workload balance, engagement, and alignment.

• Delivery-Led Growth: Identify opportunities for renewals and expansions based on the value delivered and client trust.

🤝 If you have:

• 5+ years of experience leading or participating in complex technology projects.

• Solid technical background: Previous experience in software engineering, AI, Data, or Product development.

• AI/ML domain knowledge: Experience with LLMs, Generative AI, RAG, AI Agents, or bringing ML models into production.

• Client-facing expertise: Experience working with high-profile international clients (US preferred).

• Strategic mindset: Critical thinking about delivery—constantly questioning the value generated and "what's next."

• Advanced English and excellent communication skills.

• Resilience: Comfort operating under pressure in iterative, fast-paced environments.

🦾 It’s a plus:

• Background as a Tech Lead or Engineering Lead who evolved into delivery.

• Experience with Python, Cloud (AWS/GCP/Azure), and Agile frameworks in data-centric projects.

• Deep understanding of the AI lifecycle (from experimentation to deployment).
  

This call is made within the framework of Law 19.691 on the Promotion of Employment for Persons with Disabilities, including individuals registered in the National Registry of Persons with Disabilities of the Ministry of Social Development.