Aeris Communications

AI Tech Lead

Posted 19 Days Ago

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Bucharest

Senior level

Healthtech • Internet of Things

The Role

Tech Lead role at Aeris Communications focusing on real-time data ingestion platform using GCP services and AI technologies like Embeddings, LLMs, and RAG. Responsibilities include leading development, AI integration, team leadership, end-to-end ownership, cloud optimization, automation, collaboration, innovation, and quality assurance.

Summary Generated by Built In

Tech Lead - Realtime Data Ingestion & AI Platform

At Aeris Communications, we're more than just an IoT company; we're a hub of innovation and technology, driving transformative solutions across industries. Our recent expansion includes the strategic acquisition of Ericsson's IoT businesses, further solidifying our leadership in the IoT space.
With a global presence spanning multiple continents, including major hubs in San Jose, Chicago, Helsinki, Noida, and our latest development center in Bucharest, Aeris is at the forefront of digital transformation.
We are now looking for a Tech Lead to drive the evolution of our cutting-edge real-time data ingestion platform. This is a key role for someone with expertise in Google Cloud Platform (GCP), Python, and AI technologies, particularly in the areas of Embeddings, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). You will lead a talented team of developers to elevate our platform to the next level, enabling seamless integration of AI-driven insights into our data pipelines.
Position Summary:
We are seeking a Tech Lead with a strong background in GCP, Python, and AI/ML to join our dynamic team. The role will focus on advancing our real-time document and data ingestion platform, leveraging GCP services, AI models, and modern cloud-native technologies.
Key Responsibilities:
- Lead Development: Drive the architectural design, development, and deployment of our real-time data ingestion platform using GCP services like PubSub, Cloud Functions, BigQuery, and Vertex AI.
- AI Integration: Implement and optimize AI/ML models, including LLMs and Embeddings, to enhance data processing, retrieval, and insight generation capabilities within the platform.
- Team Leadership: Mentor and guide a team of developers, fostering a collaborative environment that encourages innovation and continuous learning.
- End-to-End Ownership: Oversee the full development lifecycle, from ideation to deployment, ensuring scalability, reliability, and performance.
- Cloud Optimization: Utilize GCP services to optimize platform efficiency, scalability, and cost-effectiveness.
- Automation: Develop automated processes for data ingestion, transformation, and storage, ensuring real-time processing and analytics.
- Collaboration: Work closely with cross-functional teams including data scientists, product managers, and DevOps to align platform capabilities with business needs.
- Innovation: Stay updated with the latest in AI, GCP, and cloud technologies, advocating for the adoption of tools and techniques that drive innovation and improve platform capabilities.
- Quality Assurance: Ensure the highest level of quality in code, including unit testing, integration testing, and peer code reviews.
Required Qualifications:
- Education: Bachelor’s degree in Computer Science, Engineering, or a related field.
- Experience: Minimum of 8 years of experience in software development, with at least 3 years in a leadership role.
Technical Expertise:
- Proficiency in Python, with experience in AI/ML technologies, particularly in Embeddings, LLMs, and RAG.
- Extensive experience with GCP services (PubSub, BigQuery, Cloud Functions, Vertex AI, Cloud Storage, Cloud Run).
- Strong understanding of cloud-native architectures, microservices, and containerization (Kubernetes, Docker).
- Experience with real-time data processing and analytics.
- Leadership: Proven ability to lead and mentor a team of developers, fostering a culture of innovation and excellence.
- Agile Methodologies: Familiarity with Agile development methodologies, preferably SAFe.
Preferred Skills:
- AI Expertise: Deep understanding of AI model deployment and optimization in cloud environments.
- Cloud Build & CI/CD: Experience with Cloud Build, CI/CD pipelines, and automated testing.
- Data Engineering: Knowledge of data engineering best practices, including ETL processes and data warehousing.
- Telecom/IoT Experience: Prior experience in the telecommunications or IoT industry is a plus.
- Cross-Platform Skills: Familiarity with additional cloud platforms (AWS, Azure) and multi-cloud strategies.
- Java knowledge.
We Offer:
- Innovation-Driven Environment: An opportunity to work at the intersection of AI, cloud technology, and IoT.
- Career Growth: Continuous learning and career development opportunities in a high-tech, progressive company.
- Global Impact: Play a key role in a rapidly growing field with a worldwide footprint.
- Competitive Compensation: A comprehensive package that reflects your skills and experience.
- Premium Workspace: Modern, collaborative office spaces designed to inspire creativity.
Join us at Aeris, where your expertise will contribute to groundbreaking advancements in real-time data ingestion and AI, shaping the digital future of industries globally.