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Software Engineering Associate - Remote

Posted Yesterday
Software Development
Internship
CA, USA

Overview

Innodata is a leading data engineering company focused on providing AI technology solutions to major industries. We are committed to optimizing digital data through advanced machine learning and artificial intelligence.

In Short

  • Seeking hands-on interns to build GenAI systems.
  • Work on prototyping LLM pipelines and scaling APIs.
  • Collaborate with engineering, research, and product teams.
  • Prototype LLM + retrieval pipelines with safety features.
  • Manage knowledge graph/vector databases.
  • Build FastAPI services for various applications.
  • Design resilient systems with caching and observability.
  • Run data pipelines for large-scale indexing.
  • Optimize for low-latency APIs and high-throughput pipelines.
  • Collaborate on evaluation and user experience.

Requirements

  • Strong Python skills, including FastAPI and async programming.
  • 1-3 years of experience with LLM prompting and embeddings.
  • Comfort with APIs and distributed systems.
  • Familiarity with cloud services and Docker.
  • Excellent communication and teamwork skills.

Benefits

  • Opportunity to work with cutting-edge AI technology.
  • Gain hands-on experience in a fast-paced environment.
  • Collaborate with a diverse team of experts.
  • Flexible work arrangements.
  • Professional development opportunities.

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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