Ia engineer senior

Descripción del cargo

Requirements
Must have:
5 years of experience in building conversational systems or agent-based architectures
Strong knowledge of AWS services (Bedrock, S3, IAM)
Proficiency in Python and data manipulation libraries (Pandas, Requests)
Familiarity with NLP & LLM techniques and frameworks for conversational AI
Understanding of MLOps practices for deploying and monitoring AI systems
Ability to design effective prompts and manage dynamic contexts
Excellent communication and documentation skills
Nice to have:
Hands-on experience with KONG HQ (highly preferred)
Expertise in multi-agent frameworks (LangGraph, CrewAI, AutoGen, Google AI SDK)
Knowledge of compliance and security best practices for AI systems
AWS Certified Machine Learning Specialty or Solutions Architect certification
Experience in measuring and optimizing agent performance in production environments
Responsibilities
Build and configure AI agents using AWS Bedrock, Agent Core, and multi-agent orchestration frameworks (LangGraph, Google AI SDK, CrewAI, AutoGen)
Develop advanced prompting strategies, context management, and workflow orchestration for agent-based systems
Define and implement metrics for agent performance (efficiency, success rate, latency, cost optimization)
Collaborate with infrastructure and development teams to integrate agents into CI/CD pipelines and operational workflows
Propose innovative solutions for agent lifecycle management, version control, and continuous improvement
Document architectures, best practices, and guidelines for self-service deployment
Required Languages
English: Fluent Advanced (96–100%)
Location
Colombia – Remote
Hybrid modality available for residents in Bogotá and surrounding areas