About Aeris Communications Inc.
For more than three decades, Aeris has been a trusted cellular IoT leader enabling the biggest IoT programs and opportunities across Automotive, Utilities and Energy, Fleet Management and Logistics, Medical Devices, and Manufacturing. Our IoT technology expertise serves a global ecosystem of 7,000 enterprise customers and 30 mobile network operator partners, and 90 million IoT devices across the world. Aeris powers today’s connected smart world with innovative technologies and borderless connectivity that simplify management, enhance security, optimize performance, and drive growth.
Role Overview
We are looking for a highly skilled Tech lead with strong experience in designing, developing, and deploying AI-powered applications using Large Language Models (LLMs) and modern AI frameworks. The ideal candidate should have hands-on expertise in Generative AI technologies, backend development, cloud platforms, and enterprise-grade application integration.
This role requires working closely with product, engineering, architecture, and business teams to build scalable AI solutions that improve automation, productivity, analytics, and customer experience.
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Key Responsibilities
· Design and develop enterprise-grade applications leveraging Generative AI and LLM technologies.
· Develop scalable backend services and APIs for AI applications.
· Build AI-powered assistants, copilots, summarization engines, and intelligent automation workflows.
· Integrate GenAI capabilities with enterprise systems, APIs, databases, and cloud services.
· Implement prompt engineering strategies and AI orchestration workflows.
· Work with structured and unstructured datasets for AI model consumption.
· Ensure AI governance, security, compliance, and responsible AI practices are followed.
· Collaborate with DevOps and platform teams for CI/CD, monitoring, and production deployment.
· Stay updated with emerging AI technologies, frameworks, and industry trends.
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Required Skills
Generative AI & LLMs
· Strong understanding of Large Language Models (LLMs) and Generative AI concepts.
· Experience with models from providers such as:
o OpenAI
o Anthropic
o Google
· Hands-on experience with:
o Prompt Engineering
o AI Agents and Multi-Agent Frameworks
o Fine-tuning and model evaluation
Programming & Development
· Strong proficiency in:
o Java (preferred)
o Python
o JavaScript / TypeScript
· Experience in API development and microservices architecture.
· Knowledge of asynchronous programming and scalable backend systems.
Cloud & DevOps
· Experience with cloud platforms:
o Google Cloud Platform
o Amazon Web Services
· Exposure to Docker, Kubernetes, CI/CD pipelines, and MLOps concepts.
Database & Data Engineering
· Experience with SQL and NoSQL databases.
· Understanding of data pipelines and document processing systems.
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Preferred Qualifications
· Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or related field.
· Experience building enterprise AI platforms or copilots.
· Exposure to AI observability, evaluation frameworks, and guardrails.
· Familiarity with security and governance for AI applications.
· Experience working in Agile/Scrum teams.
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Soft Skills
· Strong analytical and problem-solving skills.
· Excellent communication and stakeholder management.
· Ability to work independently and in cross-functional teams.
· Strong ownership mindset and delivery focus.
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Success Metrics
· Delivery of scalable and reliable AI solutions.
· Improvement in automation and operational efficiency.
· High-quality AI response accuracy and performance.
· Adoption and usability of AI-powered solutions by business users.
