AI Engineer (Latam)

CirrusLabs

Location not stated

7 months ago

AI
FinOps
RAG
LangChain
LangGraph
Python
Vector Search
Azure
AWS
GCP
MCP
Azure OpenAI
AWS Bedrock
Vertex AI
Microservices
MLOps

7 months ago

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We areCirrusLabs. Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values driven organization.

You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve.

You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented<Job Title>to join our team. If you're excited to be part of a winning team, CirrusLabs (http://www.cirruslabs.io) is a great place to grow your career.

Job Title:AI Engineer – Agentic Systems & Chatbot Enablement

Location:Remote – LATAM

Employment Type:Full-Time Contract

Project:FinOps Multi-Cloud Cost Optimization – AI & Agentic Enablement

Role Overview

We are seeking anAI Engineer to join an AI enablement team supporting a large-scaleFinOps and cloud cost optimization program for a Fortune 50 enterprise. This role sits at the intersection ofagentic AI, chatbot development, and applied data science, with a strong emphasis ondesigning end-to-end workflows that allow AI models to interact with users, systems, and automations in production environments.

You will help design and implementchatbots and agent-driven systems that leverageLLMs, RAG pipelines, and decision logic, ensuring that model outputs are not isolated artifacts but are properly integrated intochat interfaces, orchestration layers, and downstream automations. While this role requires soliddata science and ML foundations, it is primarily focused onAI engineering and real-world deployment, not academic modeling.

This is a hands-on role within a growingagentic AI delivery team, working closely with cloud, FinOps, and automation engineers.

Key Responsibilities

Design and buildchatbot workflows, including how models, tools, and data sources interact within conversational and agent-driven systems.
Developagentic AI workflows using frameworks such asLangChain, LangGraph, or equivalent orchestration patterns.
ImplementRAG pipelines that combine LLMs with structured and unstructured data sources for reasoning and decision-making.
Build and integrateLLM-powered services where model outputs are surfaced via chat interfaces, APIs, or automation triggers.
Design decision-making flows where agents invoke tools, APIs, databases, or cloud services as part of execution.
Collaborate with cloud and platform teams to ensure AI components are deployable, scalable, and secure withinCSP environments.
Support evaluation, iteration, and refinement of AI behaviors, prompts, tools, and workflows over time.
Document architectures, workflows, and assumptions to support maintainability and enterprise adoption.

Required Skills & Experience

3+ years of experience inAI engineering, applied ML, or data science, with demonstrated hands-on delivery.
StrongPython proficiency and experience working withML / AI frameworks.
Hands-on experience withLLMs andchatbot or conversational AI systems, including workflow design.
Practical experience withagentic AI concepts, such as tool invocation, decision routing, and orchestration logic.
Experience designing or implementingRAG architectures (vector search, embeddings, retrieval pipelines).
Working familiarity with at least oneCloud Service Provider (Azure, AWS, or GCP), including deploying or integrating AI services in cloud environments.
Ability to think beyond "model training” and focus onwhere outputs live, how they are consumed, and how they drive action.
Strong communication skills and comfort collaborating across engineering, platform, and business teams.

Preferred / Nice-to-Have Skills

Experience standing up or working withMCP servers, tool servers, or agent runtime environments.
Exposure toFinOps, cloud cost optimization, or infrastructure automation use cases.
Familiarity withAzure OpenAI, AWS Bedrock, or GCP Vertex AI.
Experience deploying AI components asAPIs or microservices.
Exposure toMLOps or LLMOps practices (monitoring, versioning, evaluation, prompt management).
Understanding ofenterprise governance, security, and compliance considerations for AI systems.

Why Work With Us

Work onreal-world agentic AI systems, not experimental or isolated models.
Join ahigh-impact AI enablement team supporting enterprise-scale FinOps and cloud transformation.
Gain hands-on exposure tochatbots, agentic workflows, and production LLM systems in a CSP environment.
Collaborate with experiencedcloud, automation, and AI architects on emerging enterprise use cases.
Opportunity to grow into advancedAI engineering and agent orchestration roles as the program expands.

AI Engineer (Latam) · CirrusLabs

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