Lead / Principal GenAI Engineer

Devsu

Comisión de Fomento de Perú

Remote

ARS 196,892,000 - 287,765,000

Full time

2 days ago
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Benefits offered by this job

Private health insurance
Remote culture
Training programs
AI training resources
Flexible PTO

Job summary

Join Devsu as a forward-deployed AI engineer within a lean, expert AI team. You will partner with portfolio companies to design, build, and hand off high-impact AI solutions at pace, embedding with credibility and full access to data and infrastructure.

You’ll define secure architectures, develop production-ready AI workflows, and establish evaluation and observability standards to ensure durable, scalable results across environments in the U.S. and Latin America.

Qualifications

  • 8+ years of professional software development with full-stack focus.
  • Hands-on production AI/ML experience, including generative AI or agentic AI.
  • Deep fluency in agentic tooling and architecture patterns.
  • Strong grasp of modern GenAI patterns and tool calling.
  • Proficient Python skills and modern AI frameworks.
  • Working knowledge of cloud AI/ML platforms and data ecosystems.
  • Experience on Agile/Scrum teams and large complex systems.

Responsibilities

  • Assess AI feasibility during diligence and set technical direction.
  • Design and build LLM workflows against enterprise data.
  • Define secure, scalable reference architectures across cloud services.
  • Establish evaluation, observability standards, and regression testing.
  • Build human-in-the-loop controls and secure defaults.
  • Develop prototypes and transfer knowledge to portco teams.
  • Evaluate emerging models and tooling for practical adoption.

Skills

Full-stack architectures
Production AI/ML systems
Agentic tooling
GenAI patterns
Python skills
CI/CD
Agile/Scrum

Tools

LangChain
LangGraph
LlamaIndex
Bedrock
Azure AI Foundry
Vertex AI
Snowflake
Databricks
Vector databases

Job description

This is a forward-deployed AI engineer role sitting within a newly formed, dedicated AI team at a large-cap private equity firm.

You will work directly with our portfolio companies to assess, design, build, and hand off high-impact AI solutions at pace.

The model is deliberately lean. You will work as part of a small, highly specialised pod alongside an AI product manager. Together you are the team. You will be embedded within portfolio companies with full credentials, access, and credibility.

The goal is not to embed indefinitely. It is to get a portfolio company to the point of scaling an AI opportunity and then hand it off, including helping them hire and build their own capability.

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
Benefits

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.

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