

Artificial Intelligence Engineer
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
523.8095238095
-
ποΈ - Date discovered
August 19, 2025
π - Project duration
Unknown
-
ποΈ - Location type
Remote
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
United States
-
π§ - 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 β 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.
Weβre 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
Weβre looking for an AI/ML Engineer who thrives at the intersection of research and engineering. In this role, youβll:
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 Weβre 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.
π Join us at Flowmentum and help build the future of secure, scalable AI systems.
AI/ML Engineer β 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.
Weβre 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
Weβre looking for an AI/ML Engineer who thrives at the intersection of research and engineering. In this role, youβll:
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 Weβre 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.
π Join us at Flowmentum and help build the future of secure, scalable AI systems.