Generative AI Engineer

Ampstek; México; A distancia; MXN 2.946.051 - 4.050.820; A tiempo parcial

Descripción de la vacante

A leading tech company is seeking a Senior Talent Acquisition Executive to lead the design and implementation of generative AI systems. This role involves collaborating with cross-functional teams, defining the technical vision, and mentoring senior engineers. Candidates should have over 10 years of experience in software engineering and a strong background in AI and ML systems, particularly with Python and transformer-based architectures. The position is fully remote.

Formación

• 10+ years of total software engineering experience, with 5+ in ML/AI systems.
• Deep understanding of transformer-based architectures and LLM fine-tuning.
• Experience with LangChain, LlamaIndex, or similar frameworks.

Responsabilidades

• Define the technical vision and architecture for Generative AI initiatives.
• Drive research and engineering convergence for production-grade GenAI systems.
• Lead fine-tuning, RAG systems, and model evaluation pipelines.
• Mentor senior engineers and guide AI best practices across product teams.

Conocimientos

Python

PyTorch

JAX

RAG systems

Model compression

Quantization

Distributed training

Descripción del empleo

Senior👨🏻💻Talent Acquisition Executive | UK & EUROPE ("Failure is the opportunity to begin again more intelligently")

Location: 100% Remote

Job Type: Contract

Job Description

Experience: 10+ years total, with 3–5 years in AI/ML (including GenAI)

About the Role

We are looking for a Staff / Principal Generative AI Engineer to lead the design and implementation of next‑generation AI systems that enhance developer productivity and enable enterprise‑scale AI adoption. You will architect solutions, guide research‑to‑production workflows, and collaborate with cross‑functional teams across AI, backend, and product engineering. This role requires deep expertise in foundation models, multimodal architectures, and applied AI — combining strategic vision with strong hands‑on technical execution.

Key Responsibilities

Architecture & Strategy

Define the technical vision and architecture for Generative AI initiatives.

Drive research and engineering convergence for production‑grade GenAI systems.

Evaluate and integrate cutting‑edge LLMs (e.g., GPT, Claude, Gemini, LLaMA, Mistral).

Lead fine‑tuning, RAG (Retrieval‑Augmented Generation), and model evaluation pipelines.

Build scalable training and inference systems leveraging GPUs or distributed compute. Design agents and frameworks for multi‑model orchestration and context‑aware reasoning.

Collaborate with backend and MLOps teams to ensure robust deployment of GenAI systems.

Implement scalable APIs and vector databases for semantic retrieval and prompt optimization.

Maintain strong performance, latency, and cost trade‑offs for production AI workloads.

Leadership

Mentor senior engineers and guide AI best practices across product teams.

Partner with Product, Research, and Partnerships to explore new AI‑driven opportunities.

Publish internal and external thought leadership on GenAI technologies.

Requirements

Technical Expertise: 10+ years of total software engineering experience, with 5+ in ML/AI systems.

Proficiency in Python, PyTorch, or JAX.

Deep understanding of transformer‑based architectures and LLM fine‑tuning.

RAG systems, embeddings, vector databases (e.g., Pinecone, FAISS, Milvus).

Model compression, quantization, and inference optimization.

Experience with LangChain, LlamaIndex, or similar frameworks.

Solid grasp of distributed training, model evaluation, and observability.

Thanks

Aatmesh