AI Engineer (Generative AI / Machine Learning)

Golabs Tech; Colombia; A distancia; COP 187.447.000 - 374.895.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive Compensation

100% Remote Work

Paid Time Off

Local Holidays

Birthday Off

Career Growth

Recognition Program

Paid Leaves

Descripción de la vacante

A leading tech firm is seeking a Senior GenAI Engineer to design AI-driven systems and build LLM-powered applications. This full-time remote position allows flexibility while offering competitive compensation in US dollars. Candidates must be located in Colombia. Responsibilities include developing GenAI solutions and collaborating with teams to ensure successful delivery.

Formación

• 5+ years of Software Engineering experience (AI, backend, or full stack).
• 2+ years working with production GenAI applications.
• Hands-on experience with LLMs and Transformers.
• Experience with Agentic Frameworks like LangChain.
• Understanding of AI model fine-tuning techniques.
• AI model fine-tuning techniques (LoRA, PEFT, etc.).
• Proven ability to build and deploy multi-agent systems.
• Experience with Vector Databases (ChromaDB, FAISS, Weaviate).
• Solid understanding of RAG architectures and prompt engineering.
• Ability to work in ambiguity, create structure, and drive delivery.

Responsabilidades

• Design and develop AI-driven agentic systems.
• Build LLM-powered applications for real-world use cases.
• Implement Retrieval-Augmented Generation (RAG) pipelines.
• Collaborate with cross-functional teams to provide scalable solutions.
• Manage the end-to-end development lifecycle.
• Take ownership of the end-to-end development lifecycle, from architecture to deployment and improvement.
• Act as a technical counterpart in client-facing discussions, presenting solutions and gathering requirements.

Conocimientos

Software Engineering experience

Experience with production GenAI applications

Hands-on experience with LLMs

Agentic Frameworks

Hugging Face ecosystem

AI model fine-tuning techniques

Building and deploying multi-agent systems

Experience with Vector Databases

Understanding of RAG architectures

Excellent communication and presentation skills

Herramientas

OpenAI

Anthropic

Gemini

Ollama

Transformers

LangChain

CrewAI

LlamaIndex

Hugging Face

LoRA/PEFT

Descripción del empleo

Job Overview

We are seeking a Senior GenAI Engineer with hands‑on experience building real‑world AI applications, including LLM‑based and agentic systems. This role combines AI engineering, full‑stack development, and client‑facing delivery, with a strong focus on autonomous agent workflows, RAG architectures, and process orchestration.

You will deliver semi‑autonomous GenAI solutions across industries, particularly BFSI, Financial Advisory, and Investment Banking, working in dynamic, startup‑style environments where ownership, adaptability, and structured thinking in ambiguity are essential.

Key Responsibilities

• Design, develop, and integrate AI‑driven agentic systems for adaptive process orchestration and workflow automation.
• Build and refine LLM‑powered applications for real‑world use cases such as:
• Generating Buyer/Seller summaries and qualification outputs.
• Develop, test, and optimize extractive and generative AI capabilities using LLMs.
• Implement Retrieval‑Augmented Generation (RAG) pipelines and multi‑agent frameworks.
• Collaborate with cross‑functional teams and clients, translating requirements into scalable solutions.
• Take ownership of the end‑to‑end development lifecycle, from architecture to deployment and continuous improvement.
• Act as a technical counterpart in client‑facing discussions, presenting solutions and gathering requirements.

Required Experience

• At least 5+ years of Software Engineering experience (AI, backend, or full stack).
• At least 2+ years working with production GenAI applications.
• Hands‑on experience with LLMs (OpenAI, Anthropic, Gemini, Ollama, etc.) and Transformers.
• Agentic Frameworks LangChain, CrewAI, LlamaIndex (any).
• Hugging Face ecosystem models, pipelines, and tooling.
• AI model fine‑tuning techniques supervised fine‑tuning, LoRA, PEFT, etc.
• Demonstrated ability to build and deploy multi‑agent systems.
• Experience with Vector Databases (ChromaDB, FAISS, Weaviate, etc.).
• Solid understanding of RAG architectures and prompt engineering.
• Proven ability to work in ambiguity, create structure, and drive delivery in unstructured environments.
• Excellent communication and presentation skills, with prior client‑facing involvement.

Why Join Us?

• Full‑Time Position: Stability and growth in a dedicated role.
• Competitive Compensation: Get paid in US dollars, ensuring a strong and stable income.
• 100% Remote Work: Enjoy the flexibility of working from anywhere in Colombia.
• Paid Time Off: Receive 12 PTO days per year to recharge and unwind.
• Local Holidays: Celebrate Colombia's holidays with paid time off.
• Birthday Off: Take your special day off, on us!
• Career Growth: Access clear career paths and opportunities for advancement.
• Recognition Program: Be celebrated for your achievements and contributions.
• Paid Leaves: Enjoy peace of mind with fully paid leaves.

Please note: This is a remote position, but candidates must be currently located in and authorized to work from Colombia.