Artificial Intelligence Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer with a contract length of "unknown," offering a competitive pay rate. Key skills include LLM fine-tuning, Python, TypeScript, and experience with AWS. Requires 2+ years in ML, NLP, or AI engineering. Remote location.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
523.8095238095
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πŸ—“οΈ - Date discovered
August 19, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Security #NiFi (Apache NiFi) #AI (Artificial Intelligence) #Graph Databases #PostgreSQL #React #Azure #Elasticsearch #AWS (Amazon Web Services) #Docker #PyTorch #Databases #Anomaly Detection #SageMaker #NLP (Natural Language Processing) #Deployment #Scala #Automation #ML (Machine Learning) #TypeScript #Hugging Face #Cloud #Data Modeling #Python #"ETL (Extract #Transform #Load)" #Neo4J #SQL (Structured Query Language) #Apache NiFi #Cybersecurity #Strategy
Role description
AI/ML Engineer – Agentic AI, LLM Fine-Tuning & Graph Analytics Company Overview At Flowmentum, we partner with leading organizations on their most ambitious AI initiatives β€” from building agentic AI systems for enterprise QA automation to tackling real-world challenges in national security, cybersecurity, and cloud innovation. We’re a mission-driven, remote-first team passionate about transforming research into production systems. Our work spans agentic AI strategy, LLM orchestration, graph analytics, and scalable cloud deployments β€” ensuring AI is secure, reliable, and impactful. Role Overview We’re looking for an AI/ML Engineer who thrives at the intersection of research and engineering. In this role, you’ll: β€’ Fine-tune and deploy large language models (LLMs) across distributed systems and cloud platforms (AWS Bedrock, SageMaker, ECS). β€’ Build and optimize Retrieval-Augmented Generation (RAG) pipelines for structured + unstructured data. β€’ Design and implement agentic AI workflows that automate complex QA and testing environments. β€’ Apply graph analytics for anomaly detection, cybersecurity, and systems modeling. β€’ Contribute to full-stack AI products using TypeScript, React, Next.js. β€’ Develop scalable ingestion pipelines (PostgreSQL, Apache NiFi, Elasticsearch) to support AI/ML workflows. What We’re Looking For β€’ 2+ years of hands-on experience in ML, NLP, or AI research/engineering (internships & research count). β€’ Strong experience fine-tuning LLMs with PyTorch, Hugging Face, or JAX. β€’ Proficiency in Python + TypeScript, with experience in React/Next.js. β€’ Knowledge of distributed systems and cloud AI platforms (AWS preferred). β€’ Solid SQL + data modeling experience; exposure to graph databases (Neo4j) is a plus. β€’ Bonus: familiarity with Docker, Slurm, or Azure AI Services. Soft Skills β€’ Independent, proactive problem solver who thrives in remote-first teams. β€’ Strong communicator with a passion for learning and applying new AI/ML techniques. What We Offer β€’ Competitive salary + performance bonus. β€’ Remote-first culture with flexible hours. β€’ Opportunity to shape next-generation agentic AI systems with real-world impact. 🌎 Join us at Flowmentum and help build the future of secure, scalable AI systems.