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Software Engineering Associate - Remote

Posted 7 weeks ago
Software Development
Internship
USA, Canada

Overview

As a Software Engineering Associate, you will work on building real-world GenAI systems, collaborating across engineering, research, and product teams to create production-ready solutions.

In Short

  • Prototype LLM + retrieval pipelines with safety and filtering.
  • Operate knowledge graph/vector DBs (Pinecone, Weaviate) and manage embeddings.
  • Build FastAPI services for search, recommendation 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 & high-throughput pipelines.
  • Collaborate with research and product on evaluation and UX.

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.

Benefits

  • Work in a multicultural and fast-paced environment.
  • Opportunity to work on cutting-edge AI technologies.
  • Gain hands-on experience with real-world applications.
  • Collaborate with experts in the field.
  • Flexible working arrangements.

Innodata

Innodata

Innodata is a leading data engineering company, publicly traded on NASDAQ (INOD), with a global presence in 13 cities and over 3,000 employees. The company serves more than 2,000 clients, including 4 out of 5 of the world's largest technology firms, as well as major players in financial services, insurance, law, and medicine. By leveraging advanced machine learning and artificial intelligence technologies, Innodata is committed to delivering optimized digital data solutions across various industries. The company is currently focused on the next generation of Large Language Models, seeking innovative Language Specialists to enhance AI capabilities and contribute to the evolution of generative AI.

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