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:

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• 3+ years of experience as an AI Engineer, Machine Learning Engineer, Applied AI Engineer, or similar role.

• Strong experience training, fine-tuning, and deploying machine learning models to production.

• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and scikit-learn.

• Experience operating and maintaining production ML systems.

• Hands-on experience with AWS, GCP, or Azure cloud platforms.

• Familiarity with cloud ML services such as SageMaker, Vertex AI, or similar platforms.

• Strong understanding of API design and distributed system architecture.

• Experience implementing MLOps practices, CI/CD pipelines, and model monitoring.

• Experience with Docker and Kubernetes.

• Knowledge of PostgreSQL and modern data infrastructure.

• Experience with LLMs, 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.

Highlights

Build and deploy real-world AI systems, train and fine-tune models, and own the complete journey from research to production impact.

Originally posted on Himalayas