Artificial Intelligence Agent Developer

Lite Thinking company; Bogotá ciudad; Híbrido; COP 201.128.000 - 240.911.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote

US market focus

Descripción de la vacante

Lite Thinking company is seeking an Artificial Intelligence Agent Developer to design and build enterprise agent-based systems using Python, Java, and .NET. You will deploy production-ready, scalable AI agents with LLM-based pipelines, RAG, and observability.

The role emphasizes producing secure, observable architectures, integrating with MCP and A2A protocols, and working across LangChain, Semantic Kernel, and vector databases to deliver enterprise-ready AI solutions for the US market.

Formación

• Must have 2+ years in agent-based AI or related LLMSolutions.
• Experience with LangChain and LangGraph.
• Experience with Semantic Kernel and enterprise AI frameworks.

Responsabilidades

• Design, develop, and implement AI agents and multi-agent systems.
• Build agent-based workflows using LangChain, LangGraph, and enterprise frameworks.
• Integrate models from major providers and implement RAG architectures.
• Ensure observability and security using OpenTelemetry and MCP integration.
• Containerize and deploy solutions with Docker and Kubernetes.

Conocimientos

Agent-based AI

LLMOps

Distributed systems

LangChain

LangGraph

Observability

Educación

Degree in CS/SE/AI

Herramientas

Semantic Kernel

Spring AI

Quarkus LangChain4j

OpenTelemetry

Docker

Kubernetes

Vector databases

MCP

A2A protocol

OpenAI

Anthropic Claude

Gemini

Llama

Mistral

Descripción del empleo

# Artificial Intelligence Agent DeveloperSeptember 23, 2026Bogota / ColombiaCompensation: US$ 6000 USDRemoteShare**Purpose of the Role****Agent-Based Artificial Intelligence** is redefining the way modern enterprise systems are built, and the demand for professionals capable of designing, building, and operating them with sound architectural principles far exceeds the available supply.We are seeking an **Artificial Intelligence Agent Developer** capable of designing and building enterprise agent-based systems using a modern technology stack in **Python, Java, and .NET**, integrating the most relevant frameworks and models from the current ecosystem.The role will focus on bringing Agent-Based AI solutions into production in a reliable, secure, observable, and scalable manner, applying **LLMOps**practices **, observability, RAG, model and agent evaluation, integration via MCP, and multi-agent architectures**.**Ideal Candidate Profile**Professional with a degree in Systems Engineering, Software Engineering, Computer Science, Artificial Intelligence, Data Science, or related fields.We are looking for a highly technical candidate with a solid foundation in software engineering, architecture, and distributed systems, capable of working with different models, frameworks, and languages within enterprise artificial intelligence architectures.Must have the ability to transition from an LLM-based prototype to a **production-ready agent-based solution**.**Required Experience*** At least **2 years of experience in agent-based AI**, intelligent agent development, or advanced LLM-based solutions.* Experience with **LangChain and LangGraph**.* Experience with **Semantic Kernel**.* Knowledge of **Spring AI** and **Quarkus LangChain4j**.* Experience developing AI solutions in Python, Java, and/or .NET.* Experience with **Docker and Kubernetes**.* Implementation of observability with **OpenTelemetry**.* Experience building **RAG (Retrieval-Augmented Generation)**solutions .* Experience with vector databases such as **Pinecone, Weaviate, Chroma, Qdrant, and Milvus**.* Knowledge of evaluation frameworks such as **RAGAS, DeepEval, and Braintrust**.* Experience integrating models from **OpenAI, Anthropic Claude, Google Gemini, Llama, and Mistral**.* Knowledge and experience with **MCP (Model Context Protocol**).* Knowledge of the**A2A (Agent2Agent**)protocol .* Experience designing multi-agent workflows and architectures.* Knowledge of LLMOps, security, guardrails, evaluation, and observability of AI systems.**Contract Terms*** **Compensation:** $6,000 USD per month.* **Work Arrangement:** 100% remote.* Work for the **U.S. market**.* Participation in cutting-edge enterprise AI projects.* Work with agent-based AI architectures and cutting-edge technologies.**Key Responsibilities*** Design, develop, and implement **AI agents and multi-agent systems**.* Build agent-based workflows using LangChain, LangGraph, and other enterprise frameworks.* Design solutions using Semantic Kernel, Spring AI, and Quarkus LangChain4j.* Integrate Claude, OpenAI, Gemini, Llama, and Mistral models.* Design and implement RAG architectures.* Implement memory, tools, planning, reasoning, and coordination mechanisms between agents.* Integrate agents with enterprise tools and systems using MCP.* Design communication and interoperability mechanisms using A2A.* Implement vector databases and advanced information retrieval strategies.* Evaluate RAG agents and applications using RAGAS, DeepEval, and Braintrust.* Implement observability and traceability using OpenTelemetry.* Containerize and deploy solutions using Docker and Kubernetes.* Implement LLMOps practices to take solutions from experimentation to production.* Optimize the performance, latency, costs, security, and reliability of AI solutions.**Valued Skills*** Architectural thinking.* Technical excellence.* Ability to experiment.* Complex problem-solving.* In-depth knowledge of the Generative and Agent-Based AI ecosystem.* Autonomy.* Production-oriented approach.* Innovation.* Continuous learning.* Ability to work with emerging technologies.* Effective communication within international teams.## Key Words:IA generativaLangChain and LangGraphSemantic Kernel.Job Details**Contract type:**To be agreed upon**Job Openings:**5**Applications:**57**Industry / Sector:**Software Development**Availability:**Full-time**Experience:**2 years of experience