AI/ML Engineer

Agile Fuel | World-class Dedicated Engineering Teams; Mountain View (CA); Remote; USD 120,000 - 186,000; Full time

Job summary

Join a fast-growing U.S. tech startup as an AI/ML Engineer, where you'll design and scale intelligent systems. Be part of a team transforming job searching through AI by developing data-driven features and enhancing user experience. This is an exciting opportunity for those passionate about innovative technology and solving complex problems.

Benefits

100% remote position

10 working days of annual paid vacation

10 paid days off for national holidays

Opportunities for career growth

Qualifications

• 2-4 years of experience as an AI/ML Engineer or strong academic background.
• Hands-on experience with Large Language Models (LLMs) and automation tasks.
• Experience using AWS and basic database management skills.

Responsibilities

• Collaborate with product and data teams to design, implement, and improve ML models.
• Build and maintain NLP systems, including semantic analysis.
• Tune and optimize AI models for performance based on user experience.

Skills

Python

Machine Learning

Data Processing

Natural Language Processing

Model Evaluation

Education

Bachelor's Degree in Computer Science or related field

Tools

AWS

Job description

Join to apply for the AI/ML Engineer role at Agile Fuel | World-class Dedicated Engineering Teams

Join to apply for the AI/ML Engineer role at Agile Fuel | World-class Dedicated Engineering Teams

Our client is a fast-growing U.S. tech startup transforming how people approach job searching and career growth. By combining AI and psychometric science, they are building a platform that helps individuals find not just jobs, but meaningful, fulfilling careers.

Now live and gaining momentum, the platform connects people and companies through values, personality, and potential, not just resumes. Behind it is a driven team focused on building thoughtful, human-centered technology.



We are currently looking for an AI/ML Engineer to help design, build, and scale intelligent systems at the core of our product. In this role, you will work closely with cross-functional teams to develop and productionize machine learning models, optimize performance, and deliver smart, data-driven features. This is a great opportunity for someone who thrives on solving complex problems, enjoys owning end-to-end ML pipelines, and takes pride in building reliable, impactful AI solutions.

Responsibilities

• Collaborate with product and data teams to design, implement, and improve machine learning models based on business needs;
• Tune and optimize AI models to align performance with user experience goals;
• Translate functional requirements from product stakeholders into scalable ML solutions;
• Work with senior data scientists to productionize ML prototypes;
• Participate in code reviews and contribute to model deployment, monitoring, and performance enhancements;
• Build and maintain NLP systems, including semantic analysis and similarity matching;
• Develop batch workflows for large-scale data processing in NLP pipelines;
• Fine-tune and distill LLMs for specific tasks and deploy efficient model variants.
  
  

Requirements

• 2–4 years of experience as an AI/ML Engineer, or recent graduate with a strong academic background and real-world project portfolio;
• Proficiency in Python for ML and automation tasks;
• Hands-on experience with Large Language Models (LLMs) and their API integrations;
• Solid understanding of embedding models, text processing, and semantic search techniques;
• Practical experience with model finetuning, prompt engineering, and distillation methods;
• Working knowledge of statistical methods, including hypothesis testing, regression, and classification;
• Familiarity with model deployment practices and performance monitoring;
• Experience using AWS and basic database management skills;
• Strong communication and collaboration abilities in cross-functional environments;
• At least Upper-Intermediate level of English.
  
  

Bonus points for

• Working knowledge of Ruby;
• Previous experience with model deployment workflows in production environments;
• Demonstrated ability to collaborate in agile teams;
• Experience building tools that leverage LLMs for end-user applications.
  
  

We offer excellent benefits, including but not limited to

• 100% remote position;
• 10 working days of annual paid vacation;
• 10 paid days off per year for national holidays based on the U.S. calendar;
• Opportunities for self-realization, career, and professional growth.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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