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Open nowPosted 83 days ago

Senior Applied AI Engineer (Fine Tuning) - Remote

CLANX25 open roles

Where
Remote job, Remote
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Remote
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Your applicationOpen nowSenior Applied AI Engineer (Fine Tuning) - RemoteCLANX · Remote job, Remote

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Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market. CLANX postings stay open a median of 1 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 83 days ago

CLANX median: 1 days open

The posting

Applied AI Engineer with 3+ years of experience in core machine learning, model training, fine-tuning, and production deployment, building scalable AI systems and LLM-powered applications.

Company Details

Conqr AI is an early-stage startup building AI solutions for regulated, document-heavy professional workflows. The company focuses on privacy, security, reliability, and delivering high-impact AI products for enterprise users.

Website: https://www.conqr.ai/

Requirements

  • 3+ years of overall experience as an AI Engineer
  • Strong hands-on experience with fine-tuning AI/ML models for production use cases.
  • Experience with LLM fine-tuning, including model selection, dataset preparation, training, evaluation, and optimization.
  • Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and scikit-learn.
  • Experience deploying and maintaining fine-tuned models in production environments.
  • Familiarity with techniques such as LoRA, QLoRA, PEFT, and parameter-efficient fine-tuning.
  • Experience working with model evaluation, monitoring, and performance optimization.
  • Hands-on experience with AWS, GCP, or Azure cloud platforms.
  • Experience with Docker, Kubernetes, CI/CD, and MLOps practices.
  • Strong understanding of APIs and distributed system architecture.
  • Knowledge of PostgreSQL and modern data infrastructure.
  • Experience with RAG systems and vector databases is a strong plus.
  • Excellent written and verbal communication skills in English.

Responsibilities

  • Own end-to-end delivery of production AI and ML systems from experimentation to deployment.
  • Train, fine-tune, and optimize machine learning models, including LLMs and open-weight models.
  • Build and maintain training, data processing, and inference pipelines.
  • Improve model performance across accuracy, latency, reliability, and cost.
  • Implement MLOps best practices for deployment, monitoring, CI/CD, and automated retraining.
  • Develop evaluation frameworks, benchmark datasets, and quality checks for production models.
  • Design and maintain scalable APIs and services that expose AI capabilities.
  • Collaborate with Product, Backend, and Frontend teams to integrate AI into customer-facing workflows.
  • Monitor production systems and continuously improve model and infrastructure performance.
  • Research and evaluate emerging AI techniques, tools, and frameworks.

Job Details

Location: Remote

Interview Process

  • Recruiter Screening
  • Hiring Manager Discussion
  • Applied AI Technical Assessment
  • Founder Round
  • Final HR Discussion

Important Note

ClanX is a recruitment partner, helping Conqr AI hire an Applied AI Engineer.

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