Lead – Principal GenAI Engineer

Devsu

. Assess AI feasibility during diligence and set technical direction for data products, retrieval pipelines, model orchestration, agentic workflows, evaluation, deployment, and monitoring .

Posted 10/6/2026full-timeRemote • Colombia, Peru, ArgentinaSenior💰 $10,000 - $42,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building AI/ML systems, particularly in LLM workflows and agentic applications, while ensuring secure and scalable architectures. Proficient in establishing MLOps standards and effectively communicating technical concepts to diverse stakeholders.

Highest-signal resume keywords

AI/ML System DevelopmentLLM Workflow DesignMLOps Standards EstablishmentPython ProficiencyAgentic Tooling Fluency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Full-Stack ArchitectureGenerative AIAgentic AIAdvanced RAGEmbeddingsVector SearchLangChainLangGraphLlamaIndexCI/CD

Soft Skills

Forensic Attention to DetailExtreme OwnershipPositive MindsetEffective CommunicationStakeholder Engagement

Tools & Technologies

Claude CodeCursorCodexGitHub CopilotBedrockAzure AI FoundryVertex AISnowflakeDatabricksVector Databases

Industry Keywords

AI Feasibility AssessmentModel OrchestrationHuman-in-the-Loop ControlsQuality ScoringLatency Monitoring

Tech Stack

Tools & technologies

AzureCloudPython

About the role

Key responsibilities & impact

Assess AI feasibility during diligence and set technical direction for data products, retrieval pipelines, model orchestration, agentic workflows, evaluation, deployment, and monitoring
Design and build LLM workflows, retrieval systems, and agentic applications using portfolio companies' enterprise data and infrastructure
Define secure, scalable reference architectures across major cloud and AI platform services
Establish evaluation and observability standards, including test sets, automated evaluations, tracing, quality scoring, latency and cost monitoring, and regression testing
Build human-in-the-loop controls and sound data/security practices
Develop working prototypes that can evolve into production systems
Transfer knowledge directly to portfolio company technical teams to support handoff and hiring
Evaluate emerging models, frameworks, and tools and recommend practical adoption choices
Work in a small specialised pod alongside an AI product manager
Embed within portfolio companies and hand off solutions once they are ready to scale

Requirements

What you’ll need

8+ years of professional software development experience with a deep understanding of full-stack architectures
Meaningful, hands-on experience shipping production AI/ML systems, including generative AI or agentic AI
Deep fluency in agentic tooling such as Claude Code, Cursor, Codex, and GitHub Copilot
Experience with single- and multi-agent workflows, supervisor/worker patterns, state and memory management, orchestration, and safe action execution
Strong grasp of advanced RAG, embeddings, vector/hybrid search, re-ranking, tool/function calling, structured outputs, and context engineering
Proficiency with LangChain, LangGraph, LlamaIndex, or comparable frameworks
Strong Python skills
Working knowledge of Bedrock, Azure AI Foundry, Vertex AI, Snowflake, Databricks, and vector databases
Experience establishing LLMOps/MLOps standards, versioning, CI/CD, containerisation, and cost and performance optimisation
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, and vendor lock-in
Ability to explain technical tradeoffs plainly to technical and non-technical stakeholders
Comfortable engaging with 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

Comp & perks

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