AIML Engineer

1 YEAR BASE TERM WITH OPTION TO EXTEND FOR 2 ADDITIONAL YEARS.

Mandatory Qualifications

Minimum three (3) years of experience in AI-Driven Core Development including at least two (2) 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.

Minimum two (2) years of experience in Large Language Model (LLM) integration and Prompt Engineering including at least three (3) 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.

Minimum two (2) years of experience in Technical Data Classification including at least three (3) 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 preprocessing and feature engineering to improve classification accuracy.
• Implementing monitoring and validation processes to ensure classifier reliability over time.

Minimum 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.

Desirable Qualifications

• 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).

Applications that do not complete the Prescreen Survey will not be considered.

Anvaya Solutions Inc. is an equal opportunity employer. All employment decisions including hiring promotions and compensation are made without regard to race color religion sex national origin or any other protected characteristic. We are committed to a merit-based workplace where every individual is treated with respect and has equal access to opportunities based solely on their qualifications and performance.