Roles & Responsibilities
About ELLO
ELLO Care is an AI-powered home-care platform that helps families look after their elderly loved ones with dignity, safety, and peace of mind.
By combining computer vision, contextual intelligence, and human empathy, ELLO Care transforms ordinary home cameras into mindful companions that detect falls, smoke, wandering, and more - alerting caregivers before worry turns into danger.
About the Role
We’re looking for a hands-on AI Engineer with strong experience in AWS, prompt engineering, and end-to-end system design to help us scale ELLO’s intelligence layer.
You’ll be responsible for building and optimizing the AI backbone that powers ELLO’s contextual understanding - integrating multiple models and ensuring accuracy, speed, and reliability in real-world environments.
This role sits at the intersection of AI engineering, backend development, and cloud architecture, and will shape how our platform learns, adapts, and delivers peace of mind to caregivers.
Key Responsibilities
- Design and implement AI workflows end-to-end, from prompt design and inference orchestration to API integration and output evaluation.
- Optimize pre-built models via prompt engineering, model selection, and API orchestration (vision, speech, or multimodal) for ELLO’s specific use cases : fall detection, smoke detection, activity analysis, and contextual alerts.
- Build scalable AI pipelines on AWS (Lambda, Step Functions, Bedrock, Rekognition, S3, DynamoDB etc.) that support real-time analysis and continuous improvement.
- Develop evaluation frameworks - e.g., accuracy metrics, confidence scores for facial matches, or fall-detection validation - to ensure robust and explainable AI.
- Collaborate with product and hardware teams to integrate AI modules with the ELLO Care app, edge devices, and backend infrastructure.
- Stay ahead of emerging AI tools and frameworks, proposing ways to improve speed, cost-efficiency, and performance.
Requirements
Bachelor’s or Master’s in Computer Science, AI, or related field3+ years of experience in applied AI / ML engineeringProficiency in Python, TensorFlow / PyTorch, and AWS cloud servicesExperience with API orchestration and prompt / model integration (OpenAI, Anthropic, Hugging Face, etc.)Familiar with edge-cloud hybrid workflows and MLOps best practicesStrong backend experience (FastAPI, Node.js, or similar)Bonus : experience with computer vision, facial recognition, or event detection systemsYou’ll Thrive in This Role If You :
Love turning AI theory into practical, real-world productsAre hands-on, curious, and not afraid to build fast and iterateCare deeply about building technology that serves a human purposeWant to be part of a small, driven team redefining caregiving through intelligent simplicityWhy Join Us
At ELLO, you’ll be working on the frontier of AI-powered caregiving - where every line of code could make someone’s life safer, calmer, and more connected.
Tell employers what skills you have
TensorFlow
Pipelines
Caregiving
DynamoDB
Computer Vision
Reliability
PyTorch
System Design
Python
Cloud Services
Orchestration
API
AWS Lambda
S3
FastAPI
C++