Lead / Principal GenAI Engineer

Posted 9 Days Ago
Be an Early Applicant
3 Locations
Remote
Senior level
Information Technology • Software
The Role
Lead forward-deployed AI engagements for portfolio companies, assessing feasibility and building production-grade GenAI systems. Design LLM workflows, RAG pipelines, agentic applications, cloud architectures, evaluation and observability standards, security controls, and deployment practices. Develop prototypes that scale into production, evaluate emerging AI tools, optimize cost and performance, and hand off solutions and expertise to client technical teams. Engage with executives and frontline users across diverse enterprise environments.
Summary Generated by Built In

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.


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.

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.

Skills Required

  • 8+ years of professional software development experience
  • Deep understanding of full-stack architectures
  • Hands-on experience shipping production AI/ML systems, including generative AI or agentic AI
  • Experience with agentic tooling such as Claude Code, Cursor, Codex, or GitHub Copilot
  • Knowledge of single-agent and multi-agent workflows, supervisor/worker patterns, state and memory management, orchestration, and safe action execution
  • Experience with advanced RAG, embeddings, vector or hybrid search, re-ranking, tool/function calling, structured outputs, and context engineering
  • Proficiency with AI engineering frameworks such as LangChain, LangGraph, LlamaIndex, or comparable tools
  • Strong Python skills
  • Working knowledge of cloud AI/ML platforms such as Bedrock, Azure AI Foundry, or Vertex AI
  • Working knowledge of enterprise data ecosystems such as Snowflake, Databricks, or vector databases
  • Experience establishing LLMOps/MLOps standards, versioning, CI/CD, containerization, and cost and performance optimization
  • Ability to make and explain architecture, model, retrieval, latency, cost, security, and vendor lock-in tradeoffs
  • Comfort engaging with executives and frontline users
  • Experience working on Agile/Scrum teams and large, complex systems
  • Forensic attention to detail, extreme ownership, and a positive, can-do mindset
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The Company
HQ: New York, NY
223 Employees
Year Founded: 2010

What We Do

Devsu is a trusted technology partner that delivers world-class software delivery and staff augmentation services to startups, scale-ups, and enterprise companies. With over a decade of experience in the industry, our team of seasoned professionals has the necessary knowledge, expertise, and experience to help you build, scale, and launch your next digital product. We take pride in our customer-centric approach and our commitment to delivering high-quality solutions that meet and exceed our client’s expectations. Our nearshore model allows us to offer cost-effective and flexible services tailored to your needs without sacrificing quality. At Devsu, we believe in the power of technology to transform businesses and improve people’s lives. That’s why we invest heavily in our people, processes, and IP to provide you with the best talent and cutting-edge solutions to help you achieve your goals and stay ahead of the curve. Whether you need to develop a new product from scratch, augment your existing team, or optimize your software development processes, Devsu has the expertise and team to make it happen.

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