Senior AI Engineer (LLMs & Agentic AI)

Posted Yesterday
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Hiring Remotely in Bogotá, Distrito Capital, COL
In-Office or Remote
Senior level
Artificial Intelligence • Cloud • Machine Learning • Software
The Role
Design, implement, and optimize production-grade LLM and agentic AI systems. Build MCP servers, tool-calling, context management, intent classification/routing, and multi-step orchestration. Integrate Anthropic and OpenAI APIs, manage prompt versioning and fallback strategies, develop LLM evaluation frameworks, and collaborate with engineering teams to deliver production-ready conversational and multi-API AI solutions.
Summary Generated by Built In
Job Description

About You

You are a Senior AI Engineer passionate about building production-grade LLM applications and agentic AI systems. You thrive in collaborative environments where you design, implement, and optimize AI capabilities that power conversational experiences and intelligent workflows.

You enjoy solving complex AI challenges, integrating cutting-edge LLM technologies, and continuously improving production systems through experimentation, evaluation, and engineering best practices.

You Bring to Applaudo the Following Competencies:

  • Bachelor’s Degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field is desired, or equivalent professional experience.
  • Strong proficiency in Python and software engineering best practices.
  • Strong SQL skills working with cloud data warehouses.
  • Hands-on experience building production-grade LLM and agentic AI applications.
  • Experience implementing tool calling, MCP servers, context management, and multi-step orchestration.
  • Experience integrating hosted LLM APIs such as Anthropic and OpenAI into production environments.
  • Experience with prompt engineering, prompt versioning, fallback strategies, and cost/latency optimization.
  • Experience designing intent classification and routing solutions for natural language applications.
  • Experience building conversational AI solutions or multi-API orchestration workflows.
  • Experience developing LLM evaluation methodologies and working within existing codebases.
  • Strong collaboration, communication, and problem-solving skills.
  • Professional English proficiency.

Nice to Have:

  • Experience deploying, fine-tuning, and evaluating open-source models using Hugging Face.
  • Experience with GPU acceleration and inference optimization.
  • Experience implementing MLOps practices, including CI/CD, observability, and reproducible pipelines.
  • Experience with vector databases and Retrieval-Augmented Generation (RAG).
  • Applied NLP experience.
  • Experience building client-facing AI products.
  • AWS certification.

You Will Be Accountable for the Following Responsibilities:

  • Build and maintain MCP servers, tool definitions, and context management capabilities.
  • Design and implement intent evaluation, classification, and routing workflows.
  • Integrate Anthropic and OpenAI models into production environments.
  • Manage prompt versioning, fallback strategies, and LLM performance optimization.
  • Develop and maintain evaluation frameworks to validate model quality and production performance.
  • Collaborate closely with software engineers and AI specialists to deliver production-ready AI solutions.
  • Participate in architecture discussions and contribute to AI platform design.
  • Continuously improve AI systems through experimentation, optimization, and engineering best practices.

Qualifications

  • Senior-level experience building production AI applications with Python and LLM technologies.
  • Experience designing and deploying conversational AI or agentic AI solutions.
  • Strong experience with prompt engineering, LLM integrations, and evaluation methodologies.
  • Professional English proficiency.
  • Availability to work remotely with overlapping business hours.

Additional Information

All your information will be kept confidential according to EEO guidelines.

About Us

We Are Engineered Different.

At Applaudo, talented people design, build, and scale meaningful, AI-powered solutions that create real business impact. As an AI-native organization, we collaborate across design, development, cloud, data, and artificial intelligence to turn ideas into scalable products that transform how companies operate, make decisions, and grow.

We are building a high-performance culture grounded in five values: Empowering Excellence, Collaborative Teamwork, Unsolicited Respect, Consistent Transparency, and Efficient Communication. These define how we work, how we support one another, and how we hold ourselves accountable.

Applaudo is a place for people who want to learn fast, take ownership, and work alongside strong teams they are proud to belong to. Joining us means being part of an organization that is evolving intentionally, investing in modern ways of working, and leading AI-native transformation at scale.

Skills Required

  • Senior-level experience building production AI applications with Python and LLM technologies
  • Strong proficiency in Python and software engineering best practices
  • Strong SQL skills working with cloud data warehouses
  • Hands-on experience building production-grade LLM and agentic AI applications
  • Experience implementing tool calling, MCP servers, context management, and multi-step orchestration
  • Experience integrating hosted LLM APIs such as Anthropic and OpenAI into production environments
  • Experience with prompt engineering, prompt versioning, fallback strategies, and cost/latency optimization
  • Experience designing intent classification and routing solutions for natural language applications
  • Experience building conversational AI solutions or multi-API orchestration workflows
  • Experience developing LLM evaluation methodologies and working within existing codebases
  • Professional English proficiency
  • Availability to work remotely with overlapping business hours
  • Bachelor's degree in Computer Science, Software Engineering, AI, Data Science, or related field (or equivalent experience)
  • Experience deploying, fine-tuning, and evaluating open-source models using Hugging Face
  • Experience with GPU acceleration and inference optimization
  • Experience implementing MLOps practices, including CI/CD, observability, and reproducible pipelines
  • Experience with vector databases and Retrieval-Augmented Generation (RAG)
  • Applied NLP experience
  • Experience building client-facing AI products
  • AWS certification
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The Company
HQ: San Salvador
471 Employees
Year Founded: 2013

What We Do

We are a Nearshore digital solutions company powered by our LATAM based tech talent. Our specialties include Digital Transformation, Web and Mobile Development, Cloud Computing, AI, and Machine Learning, among others. We are committed to delivering high-quality software solutions that not only are scalable and dependable but also future proof. We accelerate our customers digital roadmap by leveraging our 10 years of experience building custom digital solutions, augmenting our clients' teams, and reducing time-to-market. Our Vision: Code that changes lives; has made us believe that the power of innovation can change the world. Contact us to see how we can help you achieve your business goals. www.applaudo.com We are hiring! We are looking for diverse and talented professionals around the world, who share our commitment to making a positive impact on those surrounding us. Working hand in hand to develop our skills, we will continue daring each other to reach new horizons and overcoming barriers. Visit our Jobs tab to see the multiple open positions waiting for you. Apply now and discover why Applaudo is the Best Place to Code.

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