AI Engineer

Cresteo · Argentina, Brazil, Chile, Colombia, Mexico, Peru · posted today ago

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About this role

Our Essence:

Cresteo is on a mission to be the world leader in people-first and honest nearshore tech services. We prioritize a people-centered approach in an industry that often feels distant and impersonal. Our services are led by experienced, incredibly talented professionals who are changing the system from within - while collaborating with top global clients.

Our foundation is built on:

Deep expertise
Candid transparency
Profit-sharing
Fearless innovation

Our team stands out for their deep-rooted passion for corporate change, treating software development as a human sport and art form.

When it comes to recruitment, we won't box you into rigid questionnaires; we genuinely want to get to know you. Our interactions are not transactional but human-centered, seeking genuine understanding and connection.

You'll hear about our core values and experience them with us firsthand. They define our essence.

Join Cresteo and be part of the change we're championing!

Why You Belong Here

As a Software Engineer at Cresteo, you'll be more than just a developer; you will be part of transforming the tech industry through our honest, transparent, and people-centric approach.

Your role will be diverse and dynamic. You'll be instrumental in developing and maintaining our software solutions, working with a varied technology stack, and ensuring that our products are functional, efficient, reliable, and scalable.

By joining us, you're not just choosing a job; you're aligning with a vision that values the human side of tech, where your skills and passion are recognized, nurtured, and celebrated.

What We're Looking For

Extensive experience in software development and solution architecture.
Strong backend skills in at least two of the following stacks: .NET, Java, Python, Node.js.
Hands-on experience with modern frontend frameworks such as React or Angular.
Deep understanding of architectural principles: performance, security, scalability, and maintainability.
Comfortable working across the full development lifecycle: coding, architecture, deployment, and support.
Experience with containerization, CI/CD pipelines, and modern deployment workflows.
Proven ability to quickly ramp up on unfamiliar technologies and work across different stacks as needed.
Experience building AI-native products or integrating AI agents into production environments.
Practical familiarity with agentic development and tools such as Bedrock, Vercel AI SDK, AgentCore, vector databases, semantic search, and LLM-driven solutions.
Experience designing and implementing RAG pipelines, autonomous agents, and/or multi-agent orchestration.
Ability to design, implement, and orchestrate agents end-to-end, including model evaluation, prompting, integrations, and inference flows.
Practical knowledge of ML fundamentals, embeddings, evaluations, agent training, and fine-tuning (non-academic, hands-on).
Strong ownership, autonomy, and technical judgment for architectural decision-making.
Clear and concise communication skills for documentation, reporting, and cross-team collaboration.
Advanced English level.