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

- 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.
- Robust 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.

📌 Senior Applied AI Engineer - Remote (Mumbai)
🏢 ClanX
📍 Mumbai