Senior Applied AI Engineer (Remote)

About the role

Conqr AI is an early‑stage startup building AI solutions for regulated, document‑heavy professional workflows. As a Senior Applied AI Engineer you will own the end‑to‑end delivery of production‑grade AI systems, from research experiments to scalable, customer‑facing services.

Key responsibilities

• Design, train, fine‑tune and deploy machine‑learning models, including large language models and open‑weight models.
• Build and maintain data processing, training and inference pipelines.
• Implement MLOps best practices: CI/CD, model monitoring, automated retraining, and cost‑effective deployment.
• Develop robust, scalable APIs and services that expose AI capabilities to product teams.
• Collaborate with product, backend and frontend engineers to integrate AI into user workflows.
• Monitor production systems, improve model accuracy, latency, reliability and cost.
• Research emerging AI techniques, tools and frameworks to keep the platform state‑of‑the‑art.

Required profile

• Bachelor's or Master's degree in Computer Science, Engineering or a related field.
• 3+ years of experience as an AI/ML Engineer building and deploying production models.
• Strong written and verbal communication skills in English.

Required skills

• Python programming.
• ML frameworks: PyTorch, TensorFlow, scikit‑learn.
• Cloud platforms: AWS, GCP or Azure.
• Cloud ML services: SageMaker, Vertex AI or equivalents.
• Containerisation and orchestration: Docker, Kubernetes.
• Database knowledge: PostgreSQL and modern data infrastructure.
• MLOps practices, CI/CD pipelines, model monitoring.
• API design and distributed system architecture.
• Experience with LLMs, Retrieval‑Augmented Generation (RAG) systems and vector databases (preferred).