Production AI Agent Engineer for Enterprise Workflows

Confidential Careers; México; On-site; MXN 600,000 - 1,200,000; Full time

Job summary

Confidential Careers seeks a highly skilled AI Engineer to architect, build, and deploy production-grade AI agents for Finance, Support, and Operations. You will integrate with Snowflake, Salesforce, NetSuite, Zendesk, and PlanHat, deploying securely in the cloud to power Claude-powered interfaces.

You will lead end-to-end development, design agent orchestration, and mentor junior engineers while ensuring governance, security, and cost controls.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field.
• 4–7 years in software or data engineering, with at least 2 years building/deploying LLMs in production.
• Proven portfolio of shipped AI agents; discuss architecture/troubleshooting/scaling.
• Deep knowledge of agent design patterns: tool use, orchestration, RAG, memory, guardrails, human-in-the-loop.
• Experience with LLM APIs (Claude preferred) and AI frameworks; know when to custom-solve.
• Advanced Python programming for APIs (FastAPI) and robust data pipelines.
• Strong SQL, cloud data platforms (Snowflake preferred).
• Cloud infrastructure on AWS/Azure, serverless, containers, IAM, CI/CD, observability.
• Experience in LLM evaluation, automated evals, regression testing for prompts/models.
• Foundation in data privacy, Responsible AI, governance.
• Excellent communication to translate AI concepts to tech and non-tech stakeholders.

Responsibilities

• Lead end-to-end lifecycle of production AI agents—from discovery with business owners to design, deployment, and operations.
• Partner with product managers, engineers, and leaders to identify high-impact AI opportunities.
• Connect AI agents to Snowflake and core systems (Salesforce, NetSuite, Zendesk, Asana, PlanHat).
• Build and maintain Model Context Protocol servers and LLM skills to embed agents into existing platforms.
• Design complex data and agent pipelines in Python, including RAG/retrieval, scheduling, and multi-step orchestration.
• Implement agent-chaining architectures for multi-agent collaboration to solve complex problems.
• Refine prompts and evaluate agent accuracy; ensure reliability pre- and post-launch.
• Deploy scalable agents on AWS (Bedrock, Lambda, Step Functions) with logging and cost-tracking.
• Enforce security standards: least-privilege, secrets management, PII safeguards, audit trails.
• Track token usage and infra spend to report ROI on deployments.
• Produce technical documentation and mentor junior Python engineers.

Skills

Python

LLM/Agent design

AWS

Cloud platforms

FastAPI

SQL

Data privacy

Claude/Claude API

LangChain

Agent orchestration

Security

Education

Bachelor's or Master's in CS/Engineering

Tools

LangGraph

LangChain

LlamaIndex

Claude Agent SDK

Snowflake

Salesforce

Zendesk

dbt

Pinecone

Job description

Confidential Careers seeks a highly skilled AI Engineer to architect, build, and deploy production-grade AI agents for Finance, Support, and Operations. You will integrate with Snowflake, Salesforce, NetSuite, Zendesk, and PlanHat, deploying securely in the cloud to power Claude-powered interfaces.

You will lead end-to-end development, design agent orchestration, and mentor junior engineers while ensuring governance, security, and cost controls.