Software Engineering Associate - Remote

About the Role

We are seeking a Software Engineering Associate - Remote to join our innovative team at Innodata. In this role, you will be instrumental in building real-world GenAI systems, collaborating across engineering, research, and product teams to create production-ready solutions. This is a fantastic opportunity for those looking to kickstart their careers in software engineering while working remotely.

What You'll Do

• Prototype LLM and retrieval pipelines, ensuring safety and filtering mechanisms are in place.
• Operate knowledge graph and vector databases such as Pinecone and Weaviate, managing embeddings effectively.
• Develop FastAPI services for search, recommendation systems, and memory functionalities.
• Design resilient systems that incorporate caching, retries, and observability for optimal performance.
• Run data pipelines for large-scale indexing and embeddings, ensuring efficient data processing.
• Capture personalization signals from search, chat, and purchase interactions to enhance user experience.
• Optimize for low-latency APIs and high-throughput pipelines to meet performance standards.
• Collaborate with research and product teams on evaluation processes and user experience improvements.

Requirements

• 1-3 years of hands-on experience with LLM prompting, retrieval-augmented generation (RAG), embeddings, and vector search.
• Strong proficiency in Python, particularly with FastAPI, async/await, Redis, and PostgreSQL.
• Comfort with APIs, distributed systems, caching, and observability practices.
• Familiarity with cloud services such as GCP, AWS, or Azure, as well as Docker and Git.
• Experience with CI/CD processes is a plus.
• Excellent communication skills, self-driven, and a team player attitude.

Nice to Have

• Experience in working with AI technologies and understanding of machine learning concepts.
• Knowledge of performance optimization techniques for software applications.

What We Offer

• A multicultural and fast-paced work environment.
• Opportunity to work on cutting-edge AI technologies.
• Hands-on experience with real-world applications in software engineering.
• Collaboration with experts in the field, enhancing your learning experience.
• Flexible working arrangements to support work-life balance.