Artificial Intelligence Engineer

Position Overview

We are seeking a highly skilled Data Engineer / AI & ML Engineer to design, build, and support enterprise-grade AI systems across large-scale data platforms, computer vision pipelines, and LLM-driven applications.

This role operates within a structured enterprise environment and requires experience building secure, scalable, production-ready systems aligned with governance, compliance, and architectural standards.

• Design and implement LLM-powered enterprise applications and RAG pipelines
• Develop secure backend services using Python and FastAPI
• Integrate enterprise APIs, data connectors, and secure data sources
• Support model deployment, monitoring, logging, and SLA-driven performance management
• Implement prompt governance, evaluation pipelines, and hallucination mitigation strategies
• Collaborate with security and architecture teams to align with AI governance frameworks
• Build and maintain object detection and CV pipelines (YOLO or similar)
• Develop scalable training and inference architectures
• Optimize models for enterprise SLAs (latency, throughput, reliability)
• Support MLOps processes including retraining, versioning, rollback, and traceability
• Ensure model observability and production monitoring
• Architect and maintain structured and unstructured data ingestion pipelines
• Work with Kafka, Airflow, or equivalent orchestration frameworks
• Build automated retraining and inference pipelines
• Manage cloud-native storage (AWS S3, data lakes, metadata systems)
• Containerize services using Docker and deploy within orchestrated environments
• Implement logging, auditability, and traceability for compliance purposes

• Develop internal dashboards and operational monitoring tools
• Build secure Chrome extensions or lightweight web applications
• Integrate frontend systems with authenticated backend services
• Ensure accessibility, usability, and enterprise UI standards

• 3+ years of experience in Data Engineering, ML Engineering, or related field
• Experience deploying ML models in enterprise settings
• Backend API development experience (FastAPI or Flask)
• Experience with AWS or equivalent cloud platforms
• Understanding of distributed systems and scalable architecture

• Experience with LLMs, RAG pipelines, or agent orchestration frameworks
• Experience with computer vision models (YOLO or similar)
• Experience with Kafka, Airflow, or streaming systems
• Familiarity with React or enterprise frontend frameworks
• Experience in regulated or compliance-sensitive environments

• Experience using AI-assisted coding tools (Copilot, Cursor, ChatGPT, etc.) within enterprise guardrails
• Ability to accelerate development while adhering to coding standards
• Familiarity with AI code review workflows and prompt governance
• Understanding of IP compliance and secure AI usage policies
• CI/CD pipelines for ML systems
• Model versioning and experiment tracking
• Performance validation frameworks
• Dev Sec Ops  integration

Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment