Senior AI Developer at Anvaya Solutions in Sacramento, CA

Responsibilities

• AI-Driven Core Development
• LLM Integration & Prompt Engineering
• Technical Data Classification
• Building AI-powered tools and extensions

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.

Skills

Required

• Python
• Large Language Models (LLMs)
• Git
• Retrieval Augmented Generation (RAG)
• LangChain
• Llamaindex
• Haystack
• Jira
• GitHub
• AI/ML techniques
• Data pre-processing
• Feature engineering