Lead / Principal Genai Engineer

Devsu; Argentina; Remote; ARS 3,000,000 - 5,500,000; Full time

Benefits offered by this job

Private health insurance

Remote culture

Ongoing training and mentoring

Free AI training resources

Flexible PTO and holidays

Challenging, world-class projects

Collaborative, diverse environment

Job summary

Devsu is seeking a senior software professional with deep experience shipping production AI/ML systems. You will design LLM workflows, retrieval systems, and agentic applications against enterprise data and infrastructure.

You will define secure, scalable architectures across cloud services, establish evaluation and observability standards, and guide handoff to portfolio company teams while promoting best practices in data and governance.

Qualifications

• 8+ years in software development with full-stack expertise.
• Hands-on production AI/ML systems experience, including generative or agentic AI.
• Experience with modern GenAI patterns and toolchains.
• Familiarity with cloud AI platforms and data ecosystems.

Responsibilities

• Assess AI feasibility during diligence and shape technical direction for data products and workflows.
• Design and build LLM workflows, retrieval systems, and agentic apps against enterprise data.
• Define secure, scalable reference architectures across cloud services.
• Establish evaluation, observability, tracing, and cost monitoring standards.
• Incorporate human-in-the-loop controls and secure data practices by default.
• Develop prototypes and transfer knowledge to portfolio company teams.
• Evaluate emerging models and tools and provide practical adoption guidance.

Skills

Full-stack

AI/ML systems

Agentic tooling

GenAI patterns

Python

LangChain

LangGraph

LlamaIndex

Cloud AI platforms

CI/CD

Tools

LangChain

LangGraph

LlamaIndex

Python

Job description

Requirements

What You\'ll Do

• Assess AI feasibility during diligence, and set technical direction for the systems that follow: data products, retrieval pipelines, model orchestration, agentic workflows, evaluation, deployment, and monitoring.
• Design and build LLM workflows, retrieval systems, and agentic applications directly against a portco\'s real enterprise data and infrastructure.
• Define secure, scalable reference architectures appropriate to each portco\'s environment, across major cloud and AI platform services as needed.
• Establish evaluation and observability standards for what you build, test sets, automated evals, tracing, quality scoring, latency/cost monitoring, and regression testing, so handoff teams can trust and maintain it.
• Build in human-in-the-loop controls and sound data/security practices by default, even where a formal governance function doesn\'t yet exist at the portco.
• Develop working prototypes that can evolve into production systems, and transfer that knowledge directly to portfolio company technical teams to support handoff and their own hiring.
• Evaluate emerging models, frameworks, and tools, and bring back a practical point of view on what\'s worth adopting versus what\'s prototype-only.

What You\'ll Bring

• 8+ years of professional software development experience with a deep understanding of full-stack architectures.
• Meaningful, hands‑on experience shipping production AI/ML systems, not just prototypes, including generative AI or agentic AI.
• Deep fluency in agentic tooling (e.g., Claude Code, Cursor, Codex, GitHub Copilot) and in agentic architecture patterns: single- and multi-agent workflows, supervisor/worker patterns, state and memory management, orchestration, and safe action execution.
• Strong grasp of modern GenAI patterns: advanced RAG, embeddings, vector/hybrid search, re‑ranking, tool/function calling, structured outputs, and context engineering.
• Proficiency with modern AI engineering frameworks, LangChain, LangGraph, LlamaIndex, or comparable, and strong Python skills.
• Working knowledge of cloud AI/ML platforms (e.g., Bedrock, Azure AI Foundry, Vertex AI) and enterprise data ecosystems (e.g., Snowflake, Databricks, vector databases) sufficient to work inside whatever stack a given portco already runs.
• Comfort setting LLMOps/MLOps standards on the fly, versioning, CI/CD, containerisation, cost and performance optimisation, in environments that may have none of this today.
• Ability to structure codebases and specifications to produce reliable, context‑efficient AI output.
• Sound judgement on architecture tradeoffs, model selection, retrieval strategy, latency, cost, security, vendor lock‑in, and the ability to explain those tradeoffs plainly to both technical and non‑technical stakeholders.
• Comfortable engaging with both executives and frontline users.
• Forensic attention to detail, extreme ownership, and a positive, can‑do mindset.
• Experience on Agile/Scrum teams and on large, complex systems.

At Devsu, we believe in creating an environment where you can thrive both personally and professionally. By joining our team, you\'ll enjoy:

• A stable, long‑term contract with opportunities for professional growth
• Private health insurance
• A remote culture that promotes work‑life balance
• Ongoing training, mentoring, and learning programs to keep you at the forefront of the industry
• Free access to AI training resources and cutting‑edge AI tools to enhance your daily work
• A flexible paid time off (PTO) policy and paid holidays
• Challenging, world‑class software projects for clients in the U.S. and Latin America
• Collaboration with some of the most talented software engineers in Latin America and the U.S., in a diverse work environment

Join Devsu and discover a workplace that values your growth, supports your well‑being, and empowers you to make a global impact.