Forward Deployed AI Engineer

• 8+ years of professional software development experience, with a deep understanding of full-stack architectures.

• Hands-on experience delivering production AI/ML systems, including generative AI or agentic AI applications.

• Strong proficiency with AI coding tools such as Claude Code, Cursor, Codex, or GitHub Copilot.

• Deep understanding of agentic architecture patterns, including single- and multi-agent workflows, supervisor/worker patterns, state and memory management, orchestration, and safe action execution.

• Strong knowledge of modern GenAI patterns, including advanced RAG, embeddings, vector and hybrid search, reranking, tool/function calling, structured outputs, and context engineering.

• Proficiency in Python and AI engineering frameworks such as LangChain, LangGraph, LlamaIndex, or equivalent.

• Working knowledge of cloud AI/ML platforms such as Amazon Bedrock, Azure AI Foundry, and Vertex AI.

• Familiarity with enterprise data platforms such as Snowflake, Databricks, and vector databases.

• Experience establishing LLMOps/MLOps practices, including versioning, CI/CD, containerization, and cost and performance optimization.

• Ability to structure codebases and specifications to produce reliable, context-efficient AI outputs.

• Strong judgment in architecture trade-offs, model selection, retrieval strategies, latency, cost, security, and vendor lock-in.

• Ability to explain technical decisions clearly to technical and non-technical stakeholders.

• Comfortable engaging with executives and frontline users.

• Strong attention to detail, ownership, problem-solving, and a proactive mindset.

• Experience working with Agile/Scrum teams and large, complex systems.

Responsabilidades: • Assess AI feasibility and define technical direction for AI initiatives, including data products, retrieval pipelines, model orchestration, agentic workflows, evaluation, deployment, and monitoring.

• Design and build LLM workflows, retrieval systems, and agentic applications using enterprise data and infrastructure.

• Define secure, scalable architectures across cloud and AI platforms.

• Establish evaluation and observability standards, including automated evaluations, tracing, quality scoring, latency and cost monitoring, and regression testing.

• Implement human-in-the-loop controls and sound data security practices.

• Develop prototypes that can evolve into production systems and transfer technical knowledge to teams responsible for ongoing maintenance and scaling.

• Evaluate emerging models, frameworks, and tools, recommending practical solutions based on business needs.

• Optimize AI systems for reliability, security, performance, and cost efficiency.

• Collaborate with technical teams, executives, and end users to align AI solutions with business objectives.

• Support knowledge transfer and help teams develop the capabilities needed to maintain and scale AI solutions.

Deseable: • Experience implementing AI solutions across different enterprise environments and technology stacks.

• Experience transferring AI solutions to internal teams and supporting their adoption and scaling.

• Familiarity with advanced AI evaluation frameworks, observability platforms, and automated quality assessment tools.

• Experience establishing AI engineering practices in environments with limited existing infrastructure or governance.

Beneficios: 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.

• Flexible paid time off (PTO) and paid holidays.

• Challenging, world-class software projects for clients…