AI Developer

At Acciona IT, we are looking for a talented AI Developer with advanced english (oral and written) to join an exciting contractor project for a U.S.-based client!

100% Remote from LATAM | Full-time Long-term | Contractor USD Payment

Key Responsibilities:

Lead AI Solution Development: Drive the end-to-end design, development, and deployment of advanced AI/ML models and systems, ensuring alignment with business objectives and technical excellence.

Agentic Engineering Leadership: Design, build, and optimize intelligent, autonomous agents capable of performing multi-step reasoning, tool-use, and interacting with diverse systems to solve complex problems.

LLM Integration & Fine-tuning: Work extensively with Large Language Models (LLMs), including prompt engineering, fine-tuning, and optimizing their integration into agentic workflows and broader applications.

TensorFlow Expertise: Develop, train, and deploy sophisticated machine learning and deep learning models primarily using TensorFlow.

Python Development: Write high-quality, scalable, and efficient code for AI/ML solutions, data pipelines, and agent orchestration using Python.

Cloud Provider (AWS) Deployment: Architect, implement, and manage the deployment of AI/ML models and agentic systems on leading cloud platforms, with a focus on AWS services (e.g., SageMaker, Lambda, EC2, S3, ECS, EKS).

Open-Source Stack Contribution & Leverage: Actively engage with and contribute to relevant open-source AI/ML frameworks and libraries, staying abreast of new

developments and integrating cutting-edge solutions.

Data Pipeline & MLOps: Design and implement robust data pipelines for model training and inference. Apply MLOps best practices to ensure continuous integration, delivery, and monitoring of AI systems in production.

Problem Solving & Optimization: Identify and resolve complex AI/ML challenges, optimize model performance, latency, and resource utilization.

Research & Innovation: Stay at the forefront of AI advancements, particularly in LLMs and Agentic AI, continuously evaluating new techniques and tools for potential adoption.

Technical Guidance & Mentorship: Provide technical guidance and mentorship to junior AI engineers, fostering skill development through code reviews, knowledge

sharing, and collaborative problem-solving.

Cross-Functional Collaboration: Partner closely with product managers, data scientists, and engineering teams to translate business challenges into innovative,

AI-driven solutions.

Required Skills & Qualifications:

Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field, or equivalent extensive practical experience.

Minimum 6 years of progressive experience as an AI Engineer, Machine Learning Engineer, or similar role, with a strong track record of deploying production-grade AI solutions.

Expert-level command of Python for AI/ML development, including proficiency with relevant libraries (e.g., NumPy, Pandas, Scikit-learn).

Profound expertise in TensorFlow for building, training, and deploying deep learning models.

Extensive hands-on experience with Large Language Models (LLMs), including prompt engineering, fine-tuning techniques (e.g., LoRA, PEFT), and practical application.

Demonstrated experience with Agentic Engineering principles and frameworks (e.g., LangChain, CrewAI, AutoGen, or custom multi-agent systems), including tool use, planning, and memory.

Strong practical experience with a leading cloud provider, specifically AWS, for AI/ML workloads (e.g., AWS SageMaker, Lambda, EC2, S3, understanding of cloud

inference).

Deep knowledge and active engagement with open-source AI/ML stacks andcommunities, demonstrating the ability to evaluate, integrate, and contribute to complex open-source projects.

Experience with AI/ Generative coding tools (e.g., Windsurf, ZED)

Solid understanding of machine learning algorithms, deep learning architectures, and natural language processing (NLP) concepts.

Experience with MLOps practices, including model versioning, monitoring, and deployment pipelines.

Proficiency with version control systems (e.g., Git).

Excellent problem-solving, analytical, and debugging skills for complex AI systems.

Superior communication skills, both written and verbal, with the ability to articulate complex technical concepts and findings to technical and non-technical stakeholders.

Ability to operate independently, manage multiple priorities effectively, and thrive within an agile, research-oriented, and team-oriented environment.

Desirable Qualifications:

Master's or Ph.D. in Computer Science, AI, or a related field.

Experience with other deep learning frameworks (e.g., PyTorch).

Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes) for AI deployment.

Experience with vector databases or knowledge graphs for RAG (Retrieval Augmented Generation) architectures.

Contributions to relevant open-source AI/ML projects.

Relevant AWS certifications (e.g., AWS Certified Machine Learning Specialty).

Prior experience within a technology agency or consulting environment, applying AI solutions to diverse client problems.