AI/ML Engineer

Anvaya Solutions • Sacramento, CA

20h

About The Position

This role involves a 1-year base term with the option to extend for two additional years. The engineer will focus on AI-Driven Core Development, Large Language Model (LLM) integration, Prompt Engineering, Technical Data Classification, and building AI-powered tools and extensions.

Requirements

• Minimum three (3) years of experience in AI-Driven Core Development.
• Minimum two (2) years of experience in Large Language Model (LLM) integration and Prompt Engineering.
• Minimum two (2) years of experience in Technical Data Classification.
• Minimum two (2) years of experience building AI-powered tools and extensions.
• 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.
• 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.
• 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 preprocessing and feature engineering to improve classification accuracy.
• Implementing monitoring and validation processes to ensure classifier reliability over time.
• 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.

Nice To Haves

• Experience with the Salesforce development lifecycle and using Artificial Intelligence to automate manual testing or improve Apex (Salesforce programming language) code quality.
• Salesforce Developer Experience.
• Experience with basic computer vision for UI/UX (User Interface/User Experience) analysis and automated frontend testing.
• Experience with Large Language Model evaluation techniques to ensure generated code and technical summaries are accurate and safe for production use (e.g., prompt-quality checks, output validation, safety/guardrail methods).

Responsibilities

• Develop AI-Driven Core features with a minimum of three years of experience.
• Integrate and engineer prompts for Large Language Models (LLMs) with a minimum of two years of experience.
• Perform Technical Data Classification using AI/ML techniques with a minimum of two years of experience.
• Build AI-powered tools and extensions, including custom productivity tools and VS Code extensions, with a minimum of two years of experience.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 1-10 employees