Forward Deployed Engineer (AI Solutions)

About the role

Qubika is looking for a Forward Deployed Engineer (FDE) to turn complex, often poorly defined business problems into production-ready AI solutions. This is a highly client-facing, hands-on role combining AI engineering, software architecture, product thinking and business value. As a platform-agnostic FDE, you will work across technologies and cloud environments, applying strong AI engineering and software development fundamentals.

Key responsibilities

• Conduct stakeholder interviews and discovery sessions to understand business workflows, challenges, constraints and opportunities.
• Assess current and future states and identify which workflows are worth transforming through AI.
• Design and build production-grade AI solutions integrated with existing APIs, systems, legacy platforms and data pipelines.
• Define and implement evaluation strategies to validate AI and agentic systems before production.
• Deploy AI solutions into live environments and progressively increase autonomy through guardrails and controls.
• Monitor production systems, identify issues and continuously improve reliability, performance and business outcomes.
• Work directly with client stakeholders throughout solution definition, design, implementation and handover.
• Collaborate within an Agentic Pod with senior engineers and specialists across QA, Data, MLOps/SRE, Cybersecurity and Machine Learning.
• Create reusable assets such as agents, skills, patterns, guardrails and accelerators, and share knowledge to strengthen Qubika's AI engineering practices.

Required profile

• 5+ years of experience building and shipping production software.
• Previous client-facing experience, able to lead technical conversations, challenge assumptions and communicate trade-offs with stakeholders.
• Strong product sense, comfortable working with incomplete or ambiguous information.
• English at B2 level or above; real-world experience in at least one industry domain.

Required skills

• Full-stack development, with strong Python and/or TypeScript experience.
• Hands-on experience with AWS, GCP or Azure, including deploying and operating applications.
• AI engineering with LLM applications and agentic systems in production.
• LLM orchestration, tool use, MCP, RAG, prompt and context engineering, and AI evaluation.
• LangChain, LangGraph or equivalent frameworks.
• Nice to have: partner certification or experience with Databricks, Google Cloud or Anthropic; regulated environments such as finance or healthcare; MLOps/LLMOps, observability and AI cost optimization; data platform experience; internal tools and reusable AI components.

What we offer

• Projects for disruptive start-ups and world-class companies, working directly with clients.
• A creative, collaborative environment with a senior team offering mentorship.
• Continuous learning, including technical training and language lessons.
• Flexible work arrangements and collaboration with teams and clients across Latin America and the US.