Artificial Intelligence Agent Developer
Hace 5 días
Bogotá ciudad, Bogotá, Distrito Capital, Colombia
Lite Thinking company
Jornada completa
$ 201 - $ 241 Por obra
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# Artificial Intelligence Agent DeveloperSeptember 23, 2026Bogota / ColombiaCompensation: US$ 6000 USDRemoteSharePurpose of the RoleAgent-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 LLMOpspractices , observability, RAG, model and agent evaluation, integration via MCP, and multi-agent architectures.Ideal Candidate ProfileProfessional 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 theA2A (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 DetailsContract type:To be agreed uponJob Openings:5Applications:57Industry / Sector:Software DevelopmentAvailability:Full-time
Experience:
2 years of experience
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 LLMOpspractices , observability, RAG, model and agent evaluation, integration via MCP, and multi-agent architectures.Ideal Candidate ProfileProfessional 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 theA2A (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 DetailsContract type:To be agreed uponJob Openings:5Applications:57Industry / Sector:Software DevelopmentAvailability:Full-time
Experience:
2 years of experience