Agentic AI Engineer

unosquare; Mexico; On-site; PHP 3,180,000 - 4,594,000; Full time

Job summary

unosquare is seeking an experienced Agentic AI Engineer to join the Integration Pod and help develop AI-powered integrations across our product ecosystem. The role blends strong software engineering with practical AI tooling, LLMs, and agent-based architectures to automate data collection and processing.

You will design scalable, maintainable solutions, build APIs and services in TypeScript, and collaborate with product and engineering teams to ensure architectural consistency and robust

Qualifications

• 5+ years of professional software engineering experience.
• Strong TypeScript and backend development skills.
• Experience building RESTful APIs and external integrations.
• Experience with LLMs such as OpenAI or Claude.
• Experience delivering AI-powered applications and automation.

Responsibilities

• Design, build, and maintain AI-powered integrations per spec.
• Create agent-driven workflows interacting with external systems.
• Develop data retrieval, processing, and orchestration using LLMs.
• Build scalable, reusable integration frameworks.
• Develop production-grade TypeScript applications and APIs.
• Ensure code quality with tests, reviews, observability, docs.
• Contribute to AI infrastructure, including monitoring and governance.

Skills

TypeScript

REST APIs

LLMs & AI tooling

AI-powered apps

Prompt engineering

Cloud-native

Tools

LangSmith

LangChain

LangGraph

CrewAI

AutoGen

Job description

We are seeking an experienced and highly proactive Agentic AI Engineer to join our Integration Pod and help develop the next generation of AI-powered integrations that support our growing product ecosystem. This role is ideal for a hands-on engineer who combines strong software engineering fundamentals with experience leveraging modern AI tooling, LLMs, agent-based architectures, and integration development. You will work closely with product, engineering, and integration stakeholders to design and build intelligent systems that automate data collection, orchestration, and processing across internal and third-party platforms. The ideal candidate is someone who can independently identify risks, challenge assumptions, and proactively propose solutions before problems occur.

Key Responsibilities

AI-Powered Integration Development

• Design, develop, and maintain integrations based on technical specifications and business requirements provided by the Integration team.
• Build agent-driven workflows that interact with external systems, APIs, and data sources.
• Develop intelligent solutions for data retrieval, processing, enrichment, and orchestration using modern LLM technologies.
• Create scalable, reusable integration frameworks that can support future product initiatives.

Software Engineering

• Develop production-grade applications primarily using TypeScript.
• Collaborate with engineering leadership to maintain architectural consistency and avoid unnecessary technology sprawl.
• Build and maintain APIs, backend services, and integration layers that support business-critical workflows.
• Ensure code quality through testing, code reviews, observability, and documentation.

AI Infrastructure & Enablement

• Help design and implement foundational AI infrastructure and tooling.
• Contribute to capabilities such as:
• Prompt evaluation and testing
• LLM orchestration
• Tracing and observability
• Cost monitoring and optimization
• Data governance
• AI system reliability and performance monitoring

Technical Skills

• 5+ years of professional software engineering experience.
• Strong proficiency in TypeScript and modern backend development practices.
• Experience building and consuming RESTful APIs and third-party integrations.
• Experience working with Large Language Models (LLMs) such as OpenAI, Anthropic Claude, or similar platforms.
• Experience developing AI-powered applications, agents, copilots, or intelligent automation solutions.
• Familiarity with prompt engineering and LLM evaluation techniques.
• Experience deploying and maintaining cloud-native applications.

Engineering Mindset

• Strong problem-solving and analytical capabilities.
• Ability to work independently with limited oversight.
• Comfortable operating in fast-moving, startup-like environments.
• Demonstrated ability to identify hidden risks and challenge assumptions during solution design.
• Excellent communication and cross-functional collaboration skills.

Preferred Qualifications

• Experience with LangSmith or similar AI observability and evaluation platforms.
• Familiarity with agent frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar technologies.
• Experience implementing tracing, monitoring, and cost-management solutions for AI workloads.
• Understanding of AI governance and responsible AI practices.
• Experience designing systems that interact with large volumes of structured and unstructured data.
• Prior experience building reusable platform services or middleware layers.
• Experience architecting future-facing AI integration ecosystems and agent orchestration frameworks.

Success Profile The Successful Candidate Will Be

• A strong engineer first and AI practitioner second.
• Comfortable building production-grade software, not just prototypes.
• Curious, proactive, and willing to challenge assumptions.
• Able to quickly understand business problems and translate them into scalable technical solutions.
• Excited about helping shape the future AI architecture of a rapidly growing platform and engineering organization.

Countries: Bolivia, Colombia, Mexico, Paraguay