Senior AI Engineer - LLMs, Agentic AI, Python/R

Softtek Colombia; Bogotá; Híbrido; COP 120.000.000 - 180.000.000; Jornada completa

Descripción de la vacante

Softtek Colombia seeks an experienced AI Software Engineer to design, build, and maintain Agentic AI and LLM-based solutions in a hybrid Bogotá setup. You will craft AI architectures, agent orchestration, RAG pipelines, and integrations with enterprise systems.

You’ll lead AI initiatives from PoC to production, ensuring reliability, performance, monitoring, governance, and security while collaborating with business, engineering teams, and AI vendors.

Formación

• 4+ years in Software Eng with LLM/Generative AI
• Strong Python, plus TypeScript and/or Go
• Backend and API integration (REST, gRPC)
• Experience with OpenAI/Anthropic/Gemini or similar LLMs
• Knowledge of MCP, tool calling, AI gateways, and agent frameworks (LangChain, LangGraph, LlamaIndex, CrewAI, Semantic Kernel)
• RAG architectures, vector databases, and cloud tech (AWS/GCP, Kubernetes, Terraform, Kafka)

Responsabilidades

• Design, develop, and maintain Agentic AI and LLM-based solutions.
• Build AI architectures, including agent orchestration, RAG pipelines, and AI integrations.
• Lead AI initiatives from PoC through production deployment and optimization.
• Ensure reliability, performance, monitoring, governance, and security of AI systems.
• Collaborate with business, engineering, and AI vendors to deliver enterprise AI solutions.
• Evaluate emerging AI technologies and continuously improve AI capabilities.

Conocimientos

LLM/Generative AI

Python

TypeScript/Go

Backend & API integration

LLM platforms

Agent frameworks

RAG & vector databases

Cloud: AWS/GCP, Kubernetes, Terraform,

Soft skills: problem-solving

Soft skills: communication

Herramientas

REST/gRPC

Descripción del empleo

Softtek Colombia seeks an experienced AI Software Engineer to design, build, and maintain Agentic AI and LLM-based solutions in a hybrid Bogotá setup. You will craft AI architectures, agent orchestration, RAG pipelines, and integrations with enterprise systems.

You’ll lead AI initiatives from PoC to production, ensuring reliability, performance, monitoring, governance, and security while collaborating with business, engineering teams, and AI vendors.