AI Engineer ID34949 ($3,000 signing bonus)

AgileEngine; Córdoba; Presencial; ARS 9.750.000 - 12.500.000; Jornada completa

Descripción de la vacante

A leading software development company in Córdoba is looking for an experienced AI Engineer. You will design and deploy agentic pipelines, build LLM applications, and develop models for contract intelligence. The ideal candidate has over 7 years of software development experience, with a focus on machine learning systems and Python. Flexible work arrangements are offered, along with competitive compensation and opportunities for professional growth.

Servicios

Professional growth opportunities

Competitive USD-based compensation

Flexible work arrangements

Education and fitness budgets

Exciting project selection

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.
• Hands-on experience with agentic pipelines and prompt engineering.
• Excellent verbal and written communication.
• Upper-Intermediate English level.

Responsabilidades

• Design and deploy end-to-end agentic pipelines for data.
• Build and fine-tune LLM applications.
• Develop models for contract intelligence and price forecasting.
• Deliver scalable APIs and AI services.
• Integrate with cloud-native platforms and modern data infrastructure.

Conocimientos

Professional software development experience

Machine learning systems deployment

Building with LLMs

Python expertise

Experience with RAG and vector search

Familiarity with cloud platforms

Designing scalable microservices

Communication skills

Product mindset

Upper-Intermediate English

Herramientas

PyTorch

TensorFlow

Docker

Kubernetes

Descripción del empleo

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.

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


WHAT YOU WILL DO

- 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 OF JOINING US

- 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, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.


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