Innodata Inc.
(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
Associate Software Engineer
Job not on LinkedIn
September 15
AWS
Azure
Cloud
Distributed Systems
Docker
Google Cloud Platform
JavaScript
Next.js
Node.js
Postgres
Python
React
Redis
TypeScript
Innodata Inc.
(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
📋 Description
• Prototype LLM + retrieval pipelines with safety and filtering • Operate knowledge graph/vector DBs (Pinecone, Weaviate) and manage embeddings • Build FastAPI services for search, recommender systems, and memory • Design resilient systems with caching, retries, and observability • Run data pipelines for large-scale indexing and embeddings • Capture personalization signals (search, chat, purchase) • Optimize for low-latency APIs and high-throughput pipelines • Collaborate with research and product teams on evaluation and UX • Work across engineering, research, and product to turn cutting-edge AI into production-ready solutions
🎯 Requirements
• 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 • Preferred: TypeScript/Node.js (NestJS), React/Next.js, familiarity with FastAPI, Streamlit • Recommender systems exposure • Embedding model evaluation skills • Excellent communication, presentation, collaboration, and time management skills • Self-starter attitude with a customer-centric mindset; ability to work in a multicultural and fast-paced environment • Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Linguistics, Localization or related field • Application asks whether candidate is legally authorized to work in Canada and about visa sponsorship
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