Ai Engineer

Pearster; Quilmes; Remote; ARS 181,747,000 - 287,765,000; Full time

Benefits offered by this job

Professional growth

USD-based pay

Flexible schedule

Remote and office options

Education budget

Team activities

Job summary

Pearster is seeking a Senior Agentic AI Engineer to build secure enterprise applications and agentic workflows that connect AI agents to enterprise data and tools. You will work with React/TypeScript, Python, and API services in a fully remote environment.

Join a team delivering modern AI-powered solutions with structured outputs, MCP-based integrations, RBAC and monitoring. Expect flexible scheduling, USD-based compensation, and opportunities for professional growth in a global, collaborative

Qualifications

• Bachelor's degree in CS/Software Engineering or related STEM field.
• 5+ years of software development experience (or equivalent demonstrated skill).
• Experience building AI-assisted apps, agentic workflows, or tool-calling solutions.
• Knowledge of prompt engineering, RAG, embeddings, vector databases, and AI agents.
• Familiarity with AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face.
• Experience with auth/authz, RBAC, and secure coding practices.

Responsibilities

• - Architect and develop secure enterprise applications (React, TypeScript, Python, API services).
• - Build agentic workflows and MCP-based integrations connecting AI applications to enterprise data/tools.
• - Implement structured outputs, workflow state management, human-approval steps, and error recovery.
• - Build authentication, authorization, RBAC, and audit logging.
• - Implement AI evaluation, guardrails, tracing, and monitoring (quality/safety/performance/cost).
• - Partner with domain experts and PMs to translate requirements into scalable solutions.
• - Design reusable, configuration-driven components for cross-team use.
• - Own production-quality code, tests, and documentation.
• - Mentor other engineers; guide technical direction across teams.

Skills

Python

React

TypeScript

API development

CI/CD

Security best practices

RBAC

Agentic workflows

Structured outputs

Context management

Education

Bachelor's in CS/Software Engineering/related STEM

Tools

LangChain

LlamaIndex

Hugging Face

MCP

GitLab CI/CD

Databricks

Unity Catalog

Job description

Spoiler: This is where your next big move begins.

What this Journey Looks Like

At Pearster, we are hiring an AI Engineer to join our team. This is a 100% remote position where you will be responsible for designing, building, and implementing AI-powered solutions that solve real business challenges and create meaningful impact.

You will work with modern Artificial Intelligence technologies, including Generative AI, Large Language Models (LLMs), Machine Learning, and intelligent automation, collaborating with cross-functional teams to transform ideas and business needs into scalable, production-ready solutions.

We are looking for a curious, hands-on, and innovative professional who enjoys experimenting with emerging technologies, solving complex problems, and turning the latest advances in AI into practical solutions.

What You'll Lead and Build

Build solutions leveraging Generative AI, Large Language Models (LLMs), and Machine Learning.

Design, develop, and deploy AI-powered applications and solutions.

Develop and integrate AI agents, APIs, and intelligent automation workflows.

Build solutions using RAG (Retrieval-Augmented Generation), embeddings, vector databases, and prompt engineering.

Integrate AI models and services from platforms such as OpenAI, Anthropic, Google, AWS, Azure, or similar providers.

Develop prototypes and Proofs of Concept (POCs) and help transform successful experiments into production-ready solutions.

Evaluate and optimize AI solutions for accuracy, reliability, performance, scalability, and cost.

Collaborate with Engineering, Product, and business stakeholders to identify opportunities where AI can create meaningful value.

Integrate AI capabilities into existing applications, platforms, and workflows.

Contribute to responsible AI practices, including security, privacy, monitoring, and appropriate use of AI systems.

Stay up to date with emerging AI technologies, frameworks, tools, and industry best practices.

Share knowledge and contribute to building AI capabilities and best practices across the organization.

What You Bring to the Table

Strong programming skills, preferably in Python.

Professional experience in Software Engineering, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.

Hands-on experience building applications using Generative AI and Large Language Models (LLMs).

Experience integrating APIs and developing backend services.

Knowledge of prompt engineering, RAG, embeddings, vector databases, and AI agents.

Familiarity with AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, or similar technologies.

Experience working with AI APIs and platforms such as OpenAI, Anthropic, Google Gemini, or similar.

Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

Understanding of Git, APIs, CI/CD, and modern software development practices.

Strong analytical and problem-solving skills.

Ability to work independently in a fully remote environment.

Strong communication and collaboration skills.

Intermediate to advanced English level to collaborate effectively in an international environment.

Benefits that Move you Forward.

We’re here to amplify your brilliance, not contain it.

Work from anywhere with true flexibility and freedom.

Earn in USD with compensation that matches your expertise.

Recharge confidently with dedicated paid time off.

Advance your career with fully covered international certifications.

Access coworking spaces worldwide whenever you want a professional setup.

Strengthen your English and expand your global reach.

Connect and have fun with activities that unite our international team.

Feel appreciated with personalized gifts and a thoughtful welcome kit.

Grow our community and earn through our referral program.

At Pearster, your journey matters, and we’re here to help you go further than you imagined.

LangChain.

LangGraph.

AWS.

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Senior Agentic AI Engineer to build secure enterprise applications and agentic workflows that connect AI agents to enterprise data and tools.

MUST HAVES

- Bachelor's in CS/Software Engineering/related STEM (or Bachelor's + Master's/higher in STEM)

- 5+ years software development experience (or equivalent demonstrated skill)

- Strong React, API development, application architecture, automated testing, CI/CD

- Experience building AI-assisted apps, agentic workflows, or tool-calling solutions

- Experience with MCP, structured outputs, context management, or comparable frameworks

- Experience with auth/authz, RBAC, and secure coding practices

NICE TO HAVES

- Databricks, Unity Catalog, Data Lake, or comparable

- GitLab CI/CD or comparable

- Policy-as-code, infrastructure-as-code, configuration-driven platforms

- Experience building data marketplaces, governance platforms, or internal developer platforms

- Familiarity with privacy/security/regulatory/AI governance controls

- Experience in regulated or risk-sensitive environments.

WHAT YOU WILL DO

- Architect and develop secure enterprise applications (React, TypeScript, Python, API services)

- Build agentic workflows and MCP-based integrations connecting AI applications to enterprise data/tools

- Implement structured outputs, workflow state management, human-approval steps, and error recovery

- Build authentication, authorization, RBAC, and audit logging

- Implement AI evaluation, guardrails, tracing, and monitoring (quality/safety/performance/cost)

- Partner with domain experts and PMs to translate requirements into scalable solutions

- Design reusable, configuration-driven components for cross-team use

- Own production-quality code, tests, and documentation

- Mentor other engineers; guide technical direction across teams

PERKS AND BENEFITS

- Professional growth : Mentorship, TechTalks, and personalized growth roadmaps.

- Competitive compensation : USD-based pay with education, fitness, and team activity budgets.

- Exciting projects : Modern solutions with Fortune 500 and top product companies.

- Flextime : Flexible schedule with remote and office options.