Senior AI Developer

Anvaya Solutions, Inc.
Sacramento, CA, United States
16 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence JIRA Command-Line Interface Github Python (Programming Language) Machine Learning Microsoft Visual Studio Productivity Software Systems Integration Technical Data Management Systems Application Enhancement Tool
+9 more
Feature Engineering Large Language Models Prompt Engineering Generative AI Core Api Git Wikis Code Restructuring Software Version Control

Requirements

  • A minimum of three (3) years of experience in AI-Driven Core Development. Experience shall include at least two (2) of any of the following: *

  • Strong Python skills with proven experience building scalable applications.
  • Ability to use Large Language Models (LLMs) to refactor code and generate documentation.
  • Experience maintaining high-quality Git (distributed version control) workflows in a collaborative team environment.
  • A minimum of two (2) years of experience in Large Language Model (LLM) Integration & Prompt Engineering. Experience shall include at least three (3) of any of the following: *

  • Implementing Retrieval Augmented Generation (RAG) features in real applications to ground model outputs in authoritative data.
  • Designing, testing, and iterating prompts for technical tasks (e.g., coding assistance, test generation, documentation).
  • Proficiency with LangChain or an equivalent framework (e.g., Llamaindex, Haystack) to orchestrate LLM workflows.
  • Integrating LLMs with external data sources such as Jira (issue/project tracking), GitHub (code hosting/collaboration), and internal knowledge wikis, including authentication and permission handling.
  • Establishing monitoring and guardrails to track prompt effectiveness and ensure reliable, reproducible results.

  • A minimum of two (2) years of experience in Technical Data Classification. Experience shall include at least three (3) of any of the following: *

  • Using Artificial Intelligence (AI) and Machine Learning (ML) techniques to categorize and summarize technical data.
  • Building classifiers that can accurately distinguish between critical system errors and routine log outputs.
  • Designing solutions that prioritize developer alerts based on severity and impact.
  • Applying data pre-processing and feature engineering to improve classification accuracy.
  • Implementing monitoring and validation processes to ensure classifier reliability over time.
  • A minimum of two (2) years of experience building AI-powered tools and extensions. This includes creating custom productivity tools, such as Visual Studio Code (VS Code) extensions or command-line utilities, that use Large Language Model (LLM) APIs to provide developers with smart, context-aware assistance.

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