
(NASDAQ: INOD) Innodata is a global data engineering company delivering the promise of AI to many of the world’s most prestigious companies. We provide AI-enabled software platforms and managed services for AI data collection/annotation, AI digital transformation, and industry-specific business processes. Our low-code Innodata AI technology platform is at the core of our offerings. In every relationship, we honor our 30+ year legacy delivering the highest quality data and outstanding service to our customers.
1001 - 5000 employees
October 28
AWS
Azure
Cloud
Distributed Systems
Docker
Google Cloud Platform
JavaScript
Next.js
Node.js
Postgres
Python
React
Redis
TypeScript

(NASDAQ: INOD) Innodata is a global data engineering company delivering the promise of AI to many of the world’s most prestigious companies. We provide AI-enabled software platforms and managed services for AI data collection/annotation, AI digital transformation, and industry-specific business processes. Our low-code Innodata AI technology platform is at the core of our offerings. In every relationship, we honor our 30+ year legacy delivering the highest quality data and outstanding service to our customers.
1001 - 5000 employees
• Prototype LLM + retrieval pipelines with safety and filtering. • Operate knowledge graph/vector DBs (Pinecone, Weaviate) and manage embeddings. • Build FastAPI services for search, recsys, and memory. • Design resilient systems with caching, retries, observability. • Run data pipelines for large-scale indexing and embeddings. • Capture personalization signals (search, chat, purchase). • Optimize for low-latency APIs & high-throughput pipelines. • Collaborate with research and product on evaluation and UX.
• Strong Python (FastAPI, async/await, Redis, PostgreSQL). • 1-3 years of hands-on experience with LLM prompting, RAG, embeddings, vector search. • Comfort with APIs, distributed systems, caching, observability. • Familiarity with GCP/AWS/Azure or similar cloud services, Docker, Git, CI/CD. • Clear communicator, self-driven, team player. • TypeScript/Node.js (NestJS), React/Next.js. • Familiarity with FAST API, Streamlit and similar frameworks. • Recommender systems exposure. • Embedding model evaluation skills.
• We are an equal opportunity employer committed to fostering an inclusive, respectful, and diverse workplace. • We welcome and encourage applications from individuals of all backgrounds and are dedicated to employment equity and building a team that reflects the diverse communities in which we live and operate. • In accordance with the Accessibility for Ontarians with Disabilities Act (AODA), we are committed to providing accommodations throughout the recruitment and selection process.
Apply NowOctober 28
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