AI Engineer ID34949 ($3,000 signing bonus)

AgileEngine; Mar del Plata; Presencial; ARS 163.849.000 - 204.812.000; Jornada completa

Descripción de la vacante

A tech-driven software company is seeking a Senior AI Engineer to design and deploy advanced AI systems focusing on energy procurement and management. The ideal candidate has over 7 years in software development, extensive experience with machine learning systems, and a strong background in LLMs. Key benefits include competitive compensation and opportunities for professional growth.

Servicios

Professional growth opportunities

Competitive USD-based compensation

Flextime for work-life balance

Formación

• 7+ years of professional software development experience.
• 5+ years deploying machine learning systems in production.
• 3+ years building with LLMs, both locally-hosted and API-based.

Responsabilidades

• Design and deploy end-to-end agentic pipelines for energy data.
• Build and fine-tune LLM applications using RAG and vector databases.
• Deliver scalable APIs and AI services using FastAPI or Flask.

Conocimientos

Expertise in Python

Hands-on experience with agentic pipelines

Excellent verbal and written communication

7+ years of professional software development

5+ years deploying machine learning systems

Deep familiarity with cloud platforms

Systems-level thinking with a product mindset

Upper-Intermediate English level

Herramientas

PyTorch

TensorFlow

Hugging Face

Docker

Kubernetes

Descripción del empleo

Overview

Join us and receive a $3,000 signing bonus!

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we would love to meet you!

Role

We’re seeking a deeply technical and product-minded Senior AI Engineer to help design, build, and deploy real-world AI systems that drive meaningful outcomes for energy procurement and management. You’ll collaborate cross-functionally with product, engineering, and data infrastructure teams to develop intelligent systems powered by LLMs and ML. If you thrive in fast-moving environments and love turning unstructured data into scalable, high-impact tools—this role is for you.

Responsibilities

• Design and deploy end-to-end agentic pipelines for structured and unstructured energy data;
• Build and fine-tune LLM applications using RAG, vector databases, and knowledge graphs;
• Develop models for contract intelligence, price forecasting, and energy portfolio optimization;
• Deliver scalable APIs and AI services using FastAPI, Flask, or similar frameworks;
• Integrate with cloud-native platforms (AWS, GCP) and modern data infrastructure;
• Mentor peers and contribute to best practices in applied AI and ML engineering;

MUST HAVES

• 7+ years of professional software development experience;
• 5+ years deploying machine learning systems in production;
• 3+ years building with LLMs, both locally-hosted and API-based (OpenAI, Gemini, etc.);
• Expertise in Python and libraries like PyTorch, TensorFlow, and Hugging Face;
• Hands-on experience with agentic pipelines, RAG, vector search, and prompt engineering;
• Deep familiarity with cloud platforms (AWS, GCP, Azure) and tools like Docker, Kubernetes;
• Experience designing scalable microservices and REST APIs for AI inference workflows;
• Excellent verbal and written communication — you’ll regularly present to the C-suite;
• Systems-level thinking with a product mindset;
• Upper-Intermediate English level.

NICE TO HAVES

• Experience in an early-stage startup environment;
• Experience in energy, sustainability, or infrastructure tech;
• A commitment to ethical, socially responsible AI;
• Online thought-leadership, contributions to open-source AI/ML projects and research.

The Benefits

• Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
• A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
• Flextime: Tailor your schedule for an optimal work-life balance, with options for working from home or in the office.