AI Engineer (remote, Contract) - Remote Eligible

AI Engineer (Remote, Contract)

INFUSE is on a mission to power innovation and excellence in the global demand generation landscape. As part of our continued growth and commitment to cutting-edge solutions, we're expanding our Intelligent Automation Department and looking for an AI Engineer with a strong track record in AI/ML.

What You'll Be Working On:

• Design, train, and deploy ML/AI models with a focus on voice recognition, natural language processing, LLMs, and multi-label text classification.
• Build and maintain APIs/pipelines (Python/Flask/Quart, async) and n8n workflows (nodes, triggers, error handling, retries, observability).
• MLOps: experiments, versioning, CI/CD, monitoring (quality, drift, latency, cost), rollback. Optimize performance & spend.
• Work with multi-modal data and text pipelines for automation and intelligent decision-making.
• Collaborate with cross-functional teams to integrate AI into internal products and tools.
• Build robust, scalable systems that can be adapted for various use cases across departments.

Requirements:

• 3+ years of hands-on commercial experience in AI/ML development.
• Strong knowledge of Python (asyncio), FastAPI, pandas/NumPy, scikit-learn, and basic experience with PyTorch or TensorFlow.
• Experience with n8n workflows, including webhooks, retries, and error handling, including parallelization, queueing, rate limiting, and security best practices.
• Data processing: ETL, data cleaning, feature engineering, and evaluation set preparation (formats: CSV, JSON, Parquet).
• Proficiency in SQL (PostgreSQL), Redis, and message queues (RabbitMQ, Redis Streams).
• Solid understanding of Docker, Docker Compose, Linux basics, and TLS/secrets management.
• Familiarity with MLOps principles — experiments, versioning, CI/CD pipelines (e.g., MLflow, MinIO, or similar), and monitoring using Prometheus and Grafana.
• Strong command of Git and object-oriented programming (OOP).
• Experience in documenting the development process and creating related technical documentation.
• English level B2 or higher.

Would be a plus:

• Experience with retrieval-augmented generation (RAG), vector databases and search (e.g., pgvector, Qdrant), embeddings, guardrail techniques, and familiarity with hardware accelerators (e.g., Groq).
• Background in server and infrastructure management: deploying on closed environments, SSL configuration, backups, and role-based access control.
• Familiarity with RPA (Robotic Process Automation) technologies.

Our hiring process:

• Interview with the Recruiter.
• Technical task.
• Technical interview with an AI/ML Engineer.
• Offer.

We Offer:

• Competitive compensation in USD, paid with no delays via bank transfer, PayPal, or Payoneer.
• Paid vacation and sick leave.
• Annual performance reviews with real opportunities for growth.
• Short Fridays in summer.
• A collaborative young team of thinkers and builders.

Ready to engineer the future with us? Apply now and bring your AI talent to where it will matter most.