AI Engineer – Forward Deployed Engineer

Beyond Soluções

. Develop Beyond Agents features end to end, including APIs, databases, tests, and user interfaces where appropriate .

Posted 10/31/2026full-timeSão Paulo • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in backend development with Python, deploying LLM applications, and utilizing agent orchestration frameworks. Proficient in customer engagement, technical support, and performance measurement of agents.

Highest-signal resume keywords

Backend Development With PythonLLM Application DeploymentAgent Orchestration FrameworksREST APIs And FastAPICustomer Engagement And Support

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonLLM ApplicationsLangGraphLangChainMCPRAG With Vector DatabasesAutomated Evaluation Of LLMsREST APIsPostgresAutomated Testing

Soft Skills

Customer SupportTechnical CommunicationTraining And Adoption

Tools & Technologies

DockerKubernetesClaude CodeCursorOpenAIAWS Bedrock

Industry Keywords

Agent OrchestrationKnowledge Base RetrievalPerformance MeasurementIntegration And DeploymentBusiness Process Understanding

Tech Stack

Tools & technologies

AWSDockerKubernetesPostgresPython

About the role

Key responsibilities & impact

Develop Beyond Agents features end to end, including APIs, databases, tests, and user interfaces where appropriate
Create tool packages to connect agents to customer APIs, ERPs, CRMs, spreadsheets, and MCP
Improve agent orchestration, memory, knowledge-base retrieval, guardrails, and cost controls
Write specifications and architecture decision records before making structural changes
Understand business processes and turn them into agents using prompts, tools, rules, and knowledge bases
Measure agent performance through automated evaluations and refine agents based on real-world usage
Turn patterns across customers into reusable platform capabilities
Lead customer deployments from discovery and solution design through integration, pilot, and production
Deploy the platform in customer infrastructure when necessary, including Kubernetes, Postgres, restricted networks, and proprietary identity providers
Serve as the customer's technical point of contact, train users, support adoption, and resolve incidents
Bring field learnings back to the product as issues, specifications, or code
Support the sales team with demos and the identification of new opportunities within customer accounts

Requirements

What you’ll need

Strong backend experience with Python: 3+ years for mid-level candidates; 5+ years for senior candidates
Experience deploying LLM applications to production, including tool calling, agents, and prompt engineering
Experience with LangGraph, LangChain, or another agent orchestration framework
MCP (Model Context Protocol): experience consuming or building MCP servers
RAG with vector databases, including document chunking and retrieval quality
Automated evaluation of LLMs and agents, using metrics to guide improvements
Extensive use of coding agents such as Claude Code, Cursor, or similar tools
Experience with Anthropic, OpenAI, or AWS Bedrock, plus an understanding of per-token costs
REST APIs, FastAPI or similar frameworks, relational databases such as Postgres, and automated testing
Docker and a basic understanding of cloud deployment
Experience working directly with customers or business users, including discovery, presentations, and support
Fluency in Portuguese
English proficiency for technical reading

Benefits

Comp & perks

End-to-end professional growth opportunities
Work on real-world, high-impact projects
Healthy work environments
Work on a cloud platform (Kubernetes on AWS) or within customer infrastructure
Participate in demos and identify new opportunities within customer accounts