AI Engineer, Byteonica

AI Engineer
India
October 16, 2026
Remote

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Job Description

Byteonica is recruiting an AI Engineer in a fully remote and full-time role to work on creating and implementing production-quality artificial intelligence solutions. Candidates are expected to have at least 2+ years of relevant experience in developing production software, and preferably in working with large language model applications. Candidates will be responsible for the design of AI-enabled features, integration of tools, creation of retrieval systems, and connection of APIs, databases, and user interfaces. Skills in either Python or TypeScript are important for producing reliable applications.

Qualification: Bachelor’s Degree/ Master’s Degree (Preferred)

Experience: 2+ years

Job Type: Full-Time 

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Responsibilities

  • Create and ship AI-enabled features all the way from prompt and tool design through APIs, data, and UI integration.
  • Build evaluation, guardrails, retries, and observability to make our AI more reliable.
  • Take ownership of feature shipping from planning to technical decisions, implementation, and production launch.
  • Build and integrate APIs, databases, user interfaces, and retrieval engines to enable practical use cases for AI.
  • Review code, conduct peer reviews, and work with engineering colleagues to ensure code quality.

Qualifications

  • 2+ years of experience in developing and deploying production-ready software, with experience in developing systems powered by LLMs.
  • Experience in using TypeScript or Python for application development and integrating AI functionality into applications.
  • Experience in dealing with various APIs, databases, and front-end technologies.
  • Experience in debugging and troubleshooting problems within production-ready machine learning or LLM systems.
  • Excellent written communication skills, along with good analytical skills.

Preferred Qualifications

  • Experience with AI evaluation frameworks and automated tests of model outputs.
  • Experience with retrieval-augmented generation (RAG) systems at scale.
  • Experience with orchestration of AI agents and tool-calling workflows.
  • Experience in deploying software products to paying customers.
  • Contributions to open-source projects or a portfolio of practical AI engineering work.