AI Engineer – Agentic AI Platforms & Applications

Job Title: AI Engineer – Agentic AI Platforms & Applications

Location: Remote (Mexico)

Job Type: Contract

Job Description

:
About the Rol

e:We are looking for highly motivated AI Engineers to design, build, and deploy next-generation AI agents and autonomous workflows that solve real business problems. You will work closely with product, operations, and business teams to create production-grade agentic applications powered by LLMs, enterprise data, and modern AI orchestration framework

s.This role is ideal for engineers who enjoy rapid experimentation, solving ambiguous problems, and turning AI prototypes into scalable enterprise solution

s.
What You’ll

• Do:Design, build, and deploy AI agents and multi-agent systems using modern LLM frameworks and enterprise AI platfo
• rmsDevelop agentic workflows for business functions such as Finance, Legal, Operations, Sales, Support, and Gro
• wthBuild production-ready applications using LLMs, RAG pipelines, tool calling, memory systems, and orchestration framewo
• rksIntegrate AI agents with enterprise platforms such as Google Workspace, Slack, CRM systems, internal APIs, databases, and knowledge repositor
• iesEvaluate and leverage foundation models across providers (Gemini, OpenAI, Anthropic, open-source models, etc.) based on use case requireme
• ntsWork closely with business stakeholders to identify opportunities, prototype solutions rapidly, and iterate based on user feedb
• ackCreate reusable agent frameworks, prompt libraries, evaluation pipelines, and deployment patte
• rnsImplement observability, guardrails, evaluation, and monitoring for AI applications in product
• ionOptimize agent performance for latency, accuracy, reliability, and c
• ostContribute to internal best practices around agent architecture, prompting, RAG, and AI engineering standa
• rdsStay current with emerging trends in autonomous agents, AI infrastructure, and enterprise AI adopt

ion
What We’re Looking

• For:Strong software engineering fundamentals with experience building scalable backend or full-stack applicat
• ionsHands-on experience with LLMs and modern AI application develop
• mentExperience building AI agents, autonomous workflows, or agentic applicat
• ionsFamiliarity with frameworks such as LangChain, LangGraph, CrewAI, Google ADK, AutoGen, Semantic Kernel, or sim
• ilarStrong understanding

of:o RAG architect

ureso Prompt enginee

ringo Vector datab

aseso Tool/function cal

lingo AI workflow orchestra

tiono Context and memory manage

• mentExperience working with cloud platforms such as Google Cloud, AWS, or A
• zureExperience with Vertex AI, Gemini Enterprise, OpenAI APIs, or similar enterprise AI platforms is a strong
• plusFamiliarity with APIs, microservices, event-driven systems, and enterprise integrat
• ionsComfortable working in ambiguous environments with evolving requirements and rapid experimentation cy
• clesStrong communication skills and ability to collaborate with both technical and non-technical stakehol
• dersBuilder mindset with strong ownership and execution capabili

ties
Preferred Qualificat

• ions:Experience deploying AI applications into production environ
• mentsFamiliarity with AI evaluation frameworks, observability, and guard
• railsExperience with Google Workspace APIs, Slack integrations, or enterprise automation
• toolsKnowledge of fine-tuning, model optimization, or open-source LLM deplo
• ymentExposure to multi-agent coordination and autonomous decision-making sy
• stemsExperience working in fast-paced startup or innovation environ

ments
Exper

• ience:4–8 years of software engineering expe
• rience2+ years of hands-on experience building AI/LLM-powered applications pre

ferred
Nice t

• o Have:Experience with Python-based AI eco
• systemsKnowledge of vector databases such as Pinecone, Weaviate, Chroma, or Vertex AI Vector
• SearchExperience with Kubernetes, Docker, CI/CD, and cloud-native depl
• oymentsContributions to open-source AI projects or experimentation with emerging agentic fra

meworks