F
AI

Artificial Intelligence Engineer

Flowmentum, Inc. ·

Actively hiring Posted 6 months ago

Responsibilities

  • Fine-tune and deploy large language models (LLMs) using distributed systems and cloud platforms (AWS SageMaker, ECS).
  • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for structured and unstructured data.
  • Build full-stack applications using TypeScript , React , and Next.js to support AI/ML products.
  • Conduct graph analytics and implement pattern-of-life modeling for anomaly detection and cybersecurity applications.
  • Design and manage PostgreSQL schemas and data pipelines (e.g., Apache NiFi) for ingestion into Elasticsearch.
  • Collaborate with cross-functional teams to operationalize machine learning models into production environments.
  • Bachelor’s degree or higher in Computer Science, Mathematics, Data Science, or related fields (Master’s preferred).
  • 2+ years of professional experience (including internships/research assistantships) in machine learning, NLP, or AI.
  • Hands-on experience fine-tuning LLMs with frameworks like PyTorch , Hugging Face , or JAX .
  • Proficiency in Python and TypeScript programming.
  • Experience building or contributing to full-stack applications with React/Next.js .
  • Strong grasp of distributed systems and use of cloud platforms (AWS preferred).
  • Solid knowledge of SQL and data modeling.
  • Experience working with graph databases (Neo4j) or graph-based machine learning.

Preferred qualifications

  • Familiarity with Docker , Slurm , or Azure AI Services .
  • Strong analytical, problem-solving, and communication skills.
  • Proactive and able to work independently in a remote or hybrid setting.
  • Passion for learning and applying new AI/ML techniques to real-world problems.

Benefits

  • Competitive salary + performance bonus.
  • Remote-first culture with flexible working hours.
  • Collaborative, mission-driven team environment.

Tags & focus areas

Used for matching and alerts on DevFound
Contract Remote Ai Ai Engineer Machine Learning Generative Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.