Overview

Fullstack and AI Engineer

Responsibilities

• Design and implement AI-assisted backend services and intelligent automation workflows.
• Develop pipelines for processing real-time IoT and wearable telemetry data for analytics and event detection.
• Integrate AI/ML models into production-grade APIs and web applications.
• Build systems that support anomaly detection, predictive alerting, behavioral analysis, and operational intelligence.
• Work with structured and unstructured datasets to support AI-driven insights and reporting.
• Collaborate with product and engineering teams to develop AI-enabled safety and security applications.
• Optimize data architectures to support large-scale event streaming, model inference, and real-time decision systems.
• Assist in evaluating and integrating LLMs (Large Language Models) and AI tooling into internal and customer-facing products.
• Experience in integrating AI/ML capabilities into production applications.
• Familiarity with Python AI ecosystems such as TensorFlow, PyTorch, Scikit-learn, or similar frameworks.
• Understanding of data pipelines, event-driven architectures, and real-time data processing.
• Experience working with APIs for AI services and model inference.
• Familiarity with vector databases, embeddings, or semantic search concepts.
• Strong understanding of scalable backend architectures for data-intensive applications.
• Experience with generative AI, LLM orchestration frameworks, or AI agents.
• Familiarity with edge AI or deploying lightweight AI models on IoT devices.
• Experience with streaming technologies such as Kafka, MQTT, or RabbitMQ.
• Knowledge of computer vision, geospatial analytics, or sensor fusion systems.
• Experience building AI-enabled dashboards, operational intelligence platforms, or safety monitoring systems.
• Exposure to MLOps workflows, model monitoring, and AI infrastructure deployment.
• Experience with Retrieval-Augmented Generation (RAG) architectures and private AI systems.
• Familiarity with AI security, privacy, and governance best practices for enterprise or government environments.
• Experience building or supporting mobile applications (iOS, Android, or cross-platform frameworks like React Native or Flutter).
• Exposure to DevOps practices and cloud platforms, especially AWS (e.g., EC2, S3, Lambda, RDS).
• Understanding of CI/CD pipelines and deployment automation.
• Familiarity with containerization tools such as Docker and Podman.
• Design, develop, and maintain fullstack web applications.
• Build robust, secure, and scalable RESTful APIs.
• Work with relational databases, primarily PostgreSQL, to model and manage data effectively.
• Collaborate with cross-functional teams to define, design, and ship new features.

Qualifications

• Proficient in Node.js and JavaScript/TypeScript development.
• Strong experience with PostgreSQL or similar relational databases.
• Solid understanding of Python for backend services or scripting.
• Experience designing and consuming RESTful APIs.*
• Familiarity with version control systems (e.g., Git).
• Strong problem-solving skills and attention to detail.