We are looking for an innovative Agentic AI Engineer to design, build, and operate enterprise-grade multi-agent systems that leverage modern AI technologies to solve complex business challenges.
This role requires a strong systems-thinking mindset and the ability to architect autonomous AI ecosystems where agents collaborate, reason, utilize tools, and operate reliably at scale.
Responsibilities:
Design end-to-end agent architectures, defining roles, workflows, tool access, and human-in-the-loop interactions
Build and maintain MCP servers, tool registries, and agent integration frameworks
Develop advanced agent workflows including orchestration, routing, handoffs, parallel execution, and recovery mechanisms
Design and implement Retrieval-Augmented Generation (RAG) pipelines
Establish observability frameworks including logging, tracing, monitoring, and anomaly detection
Define governance models, guardrails, escalation procedures, and AI compliance practices
Ensure reliability, scalability, explainability, and performance optimization of production AI systems
Collaborate with engineering, product, and business stakeholders to deliver enterprise AI solutions
Required Qualifications:
3+ years of software engineering experience using Python and/or Java




Experience integrating AI/ML models into production environments
Strong understanding of distributed systems and software architecture
Hands‐on experience building RAG pipelines and retrieval systems
Experience with cloud platforms (AWS, Azure, or GCP)
Experience with Docker and Kubernetes
Strong analytical and problem‐solving abilities
Bachelor's degree in Computer Science or related field
Preferred Qualifications:
Experience with LangGraph, AutoGen, CrewAI, or OpenAI Agents SDK
Knowledge of Model Context Protocol (MCP)
Experience with vector databases such as Pinecone, Weaviate, Chroma, or pgvector
Experience with Salesforce Agentforce or enterprise AI governance
Background in conversational AI and autonomous systems
Soft Skills:
Strong systems‐thinking mindset
Excellent communication and technical leadership skills
Ownership mentality and accountability
Adaptability in fast‐evolving AI environments
Collaborative and solution‐oriented approach
Must Have Skill:
System Thinking — ability to design, reason about, and optimize complex interconnected systems operating at scale.
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📌 Int Agentic Ai Engineer (Bogotá)
🏢 Aditi Consulting
📍 Bogotá