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
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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.
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Establishing monitoring and guardrails to track prompt effectiveness and ensure reliable, reproducible results.
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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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