Principal AI Software Engineer

About the role

We are looking for a Senior / Principal Engineer to join the Cognitive Sensing team at Hyperion , working on AI‑driven sensing and decision systems for Smart Cities and IoT platforms. This role sits at the intersection of IoT, edge computing, classical AI/ML, and Generative AI . You will design and build systems that combine sensor data, machine intelligence, and contextual knowledge , including the use of Large Language Models (LLMs) and Retrieval‑Augmented Generation (RAG) to enhance observability, diagnostics, and decision‑making. The role is primarily hands‑on and technical , with the opportunity to take on technical leadership responsibilities depending on experience, interest, and team needs.

Responsibilities

• AI, GenAI & Cognitive Systems
• Design, implement, and evolve AI‑enabled sensing systems from edge to cloud.
• Build and integrate AI/ML models into production environments.
• Design and implement Generative AI solutions , including: LLM‑based services
• Retrieval‑Augmented Generation (RAG) pipelines
• Vector databases and semantic search
• Work closely with data scientists and engineers on evaluation, monitoring, and drift detection.
• Software Development (Full‑Stack)
• Design, develop, and maintain production‑grade software services and applications: Front‑end: Angular, TypeScript
• Back‑end: .NET (C#), Python
• Build robust REST APIs / microservices and integrate with internal and external systems.
• Apply strong engineering practices: clean architecture, testing, code reviews, documentation.
• Data & Storage (SQL + NoSQL)
• Design data models and persistence strategies for IoT telemetry, configuration, and AI outputs.
• Work with relational and NoSQL databases, such as: SQL: SQL Server, PostgreSQL (or similar)
• NoSQL: MongoDB (or similar)
• Optimize queries, indexing, and performance for high‑volume and time‑series‑like workloads (telemetry/event data).
• Cloud & DevOps (Azure / CI-CD / Containers)
• Contribute to cloud‑native and hybrid deployments, preferably in Azure .
• Build, maintain, or improve CI/CD pipelines using Azure DevOps (or similar tooling)
• Containerize services with Docker and deploy/operate workloads in Kubernetes clusters (cloud or on‑prem)
• Improve operational excellence: logging, monitoring, reliability, and cost awareness (FinOps mindset).
• Collaboration & Technical Influence
• Collaborate with Product, Data, and Business stakeholders to align technical solutions with product goals.
• Communicate complex technical and AI concepts clearly to different audiences.
• Identify technical risks and contribute to mitigation strategies.
• Optional: Technical Leadership (Depending on Profile)
• Provide technical guidance and mentorship to other engineers.
• Contribute to architectural decisions and technical standards.
• Participate in hiring and technical interviews (if interested).
• Note: Prior experience as a Tech Lead is not required . Candidates with strong technical expertise who want to grow into a leadership role are encouraged to apply.
• Required Skills & Experience
• Bachelor's or Master's degree in Engineering, Computer Science, or a related field.
• 8+ years of experience in software engineering or systems development.
• Strong software engineering skills with at least one of: .NET (C#) , Python , Angular/TypeScript .
• Experience designing and shipping APIs / distributed services .
• Solid understanding of Generative AI and LLM‑based architectures , including: Prompt engineering and evaluation
• Retrieval‑Augmented Generation (RAG)
• Vector databases and embeddings
• Experience with databases (relational + NoSQL), such as SQL Server / PostgreSQL and MongoDB
• Experience with Docker and CI/CD ; familiarity with Azure DevOps is a strong advantage
• Exposure to Kubernetes deployment/operations is a strong advantage
• Fluent English (required).

Requirements

• Experience operating LLMs in production (cloud or hybrid).
• Knowledge of MLOps / LLMOps practices.
• Event‑driven systems and streaming (Kafka, RabbitMQ, Azure Event Hub)
• IoT protocols (MQTT, AMQP, CoAP, WebSockets)
• Background in Smart Cities / Lighting / industrial IoT.
• Salary: Remuneration package (along with meal allowance + health insurance)

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