Who we are:
Innodata (NASDAQ: INOD) is a leading data engineering company. With more than
2,000 customers and operations in 13 cities around the world, we are the AI
technology solutions provider-of-choice to 4 out of 5 of the world’s biggest
technology companies, as well as leading companies across financial services,
insurance, technology, law, and medicine.
By combining advanced machine learning and artificial intelligence (ML/AI)
technologies, a global workforce of subject matter experts, and a high-security
infrastructure, we’re helping usher in the promise of clean and optimized
digital data to all industries. Innodata offers a powerful combination of both
digital data solutions and easy-to-use, high-quality platforms.
Our global workforce includes over 3,000 employees in the United States, Canada,
United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re
poised for a period of explosive growth over the next few years.
About the Role
We’re looking for curious, hands-on interns who want to build real-world GenAI
systems — from prototyping LLM pipelines to scaling APIs and data
infrastructure. You’ll work across engineering, research, and product teams to
turn cutting-edge AI into production-ready solutions.
Key Responsibilities
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Prototype LLM + retrieval pipelines with safety and filtering.
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Operate knowledge graph/ vector DBs (Pinecone, Weaviate) and manage
embeddings.
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Build FastAPI services for search, recsys, and memory.
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Design resilient systems with caching, retries, observability.
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Run data pipelines for large-scale indexing and embeddings.
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Capture personalization signals (search, chat, purchase).
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Optimize for low-latency APIs & high-throughput pipelines.
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Collaborate with research and product on evaluation and UX.
Technical & Required Skills
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Strong Python (FastAPI, async/await, Redis, PostgreSQL).
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1-3 years of hands-on experience with LLM prompting, RAG, embeddings, vector
search.
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Comfort with APIs, distributed systems, caching, observability.
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Familiarity with GCP/AWS/Azure or similar cloud services, Docker, Git, CI/CD.
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Clear communicator, self-driven, team player.
Preferred Skills and Experience
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TypeScript/Node.js [http://Node.js] (NestJS), React/Next.js., familiarity
with FAST API, Streamlit and similar frameworks
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Recommender systems exposure.
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Embedding model evaluation skills.
Soft Skills
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Excellent communication, presentation, and collaboration skills
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Strong time management and organizational abilities
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Self-starter attitude with a customer-centric mindset
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Ability to work in a multicultural and fast-paced environment
Minimum Education Requirements
- Bachelor’s degree or higher in Computer Science, Artificial Intelligence,
Machine Learning, Linguistics, Localization or a related field.
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. If you require an accommodation, please let us know, and we
will work with you to meet your needs.
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