AjnaLens
Website:
ajnalens.com
Job details:
Namaskaram!
Ajna Lens is looking for a Principal Engineer/Staff Engineer – AI & Backend Architecture to join our Product Engineering team at Thane (Maharashtra – India). This is a high-impact senior technical leadership role for an experienced engineer who will drive AI and backend architecture across our current and upcoming line of AI smart glasses products. The ideal candidate should have 8+ years of backend engineering experience with deep expertise in LLM-powered systems, real-time backend infrastructure, and scalable B2C product architecture. This role demands strong technical ownership, architectural leadership, and the ability to build highly reliable, production-grade AI systems at scale
Top 3 Daily Responsibilities:
● Design and scale AI session pipelines including LLM orchestration, prompt engineering, multimodal processing, and response delivery for wearable AI systems.
● Own backend architecture on GCP including WebSocket services, OTA firmware delivery, push notification systems, and session management infrastructure.
● Lead architectural decisions, engineering standards, and reliability practices across next-generation AI smart glasses platforms.
Minimum Work Experience Required:
● 8+ years of backend engineering experience with strong distributed systems expertise.
● 3+ years in a Principal Engineer, Staff Engineer, or equivalent technical leadership role.
● Proven production experience building and scaling LLM-powered systems and real-time backend infrastructure.
● Demonstrated ownership of large-scale B2C deployments including production reliability and incident management.
Top 5 Skills You Should Possess:
● Strong expertise in LLM-powered architectures including prompt engineering, RAG pipelines, tool calling, multimodal AI, and streaming inference systems.
● Deep hands-on experience with Python and Node.js for scalable backend development and code quality leadership.
● Strong understanding of real-time backend systems including WebSocket services, streaming pipelines, and low-latency media/audio processing.
● Experience designing scalable backend infrastructure on cloud platforms (preferably GCP).
● Strong architectural and system design capabilities with expertise in reliability, scalability, and observability engineering.
Full-Stack & System Awareness:
● Strong knowledge of the modern LLM ecosystem, including model capabilities, context-window tradeoffs, token economics, and emerging architectures.
● Familiarity with Kubernetes (GKE), PostgreSQL, BigQuery, Firebase, and cloud-native infrastructure patterns.
● Understanding of AI backend pipelines involving speech recognition, visual understanding, and multimodal inference.
● Exposure to IoT or connected-device ecosystems including OTA delivery, BLE-connected architectures, and device-state management.
Leadership & Strategic Capabilities:
● Ability to lead architecture reviews and define engineering standards across backend and AI systems.
● Strong technical mentorship and code review expertise across Python and Node.js ecosystems.
● Ownership mindset with the ability to drive projects from architecture design to production deployment.
● Strong collaboration skills across AI, firmware, product, infrastructure, and wearable engineering teams.
Bonus Points For:
● Hands-on experience with Gemini, Vertex AI, or advanced GCP AI services.
● Experience building multimodal AI systems integrating audio, camera, and conversational interfaces.
● Strong understanding of token cost optimization, metering systems, and LLM cost-to-quality tradeoffs.
● Knowledge of Pub/Sub systems (Kafka, RabbitMQ, GCP Pub/Sub) and distributed systems architecture.
● Experience working with Agentic AI systems and next-generation AI orchestration frameworks
What You’ll Be Creating:
● A scalable AI and backend architecture powering India’s next-generation AI smart glasses platform.
● Real-time multimodal AI experiences combining voice, camera intelligence, and conversational AI.
● Highly reliable backend systems optimized for large-scale B2C deployment across India.
● Engineering standards and platform foundations for future AI wearable products.
● A robust AI infrastructure balancing latency, scalability, reliability, and token efficiency.
Job Function:
● AI Backend Architecture & System Design
● LLM Infrastructure & Multimodal AI Engineering
● Real-Time Systems & Streaming Infrastructure
● Distributed Systems & Cloud Engineering
● Technical Leadership & Engineering Excellence
Education:
● B.E. / B.Tech / M.E. / M.Tech in Computer Science, Engineering, Electronics, or related fields.
● Equivalent hands-on product engineering experience with a strong delivery track record is highly valued
Click on Apply to know more.