Ai Engineer Id34949 ($3,000 Signing Bonus)

buscojobs Brasil; Ceará; Híbrido; BRL 533.000 - 640.000; Tempo integral

Resumo da oferta

A leading software company is seeking a Senior AI Engineer to design and deploy AI systems for energy management. You'll work cross-functionally to build LLM applications and mentor peers. The position allows remote work with benefits for professional growth and competitive compensation. Ideal candidates should have extensive experience in software development, machine learning, and cloud platforms.

Serviços

Professional growth opportunities

Competitive USD-based compensation

Flexible working hours

Qualificações

• 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 frameworks like FastAPI.

Conhecimentos

Python

Machine Learning

LLMs (local and API-based)

Communication

Ferramentas

PyTorch

TensorFlow

Hugging Face

Docker

Kubernetes

Descrição da oferta de emprego

Job Description

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.

Overview

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.

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

• 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.

Requirements

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.