Senior AI/ML Engineer

Anvaya Solutions • Sacramento, CA

2d

About The Position

This role involves a 1-year base term with the option to extend for two additional years. The position focuses on leveraging AI and Machine Learning to enhance software engineering processes, including advanced LLM design, predictive log intelligence, and AI quality guardrails.

Requirements

• Minimum five (5) years of experience in AI-Enhanced Software Engineering, including at least three (3) of the following: Advanced skills in Python and strong knowledge of backend architecture; Hands-on experience using AI coding assistants (such as GitHub CoPilot or Cursor) to speed up software development; Proven ability to set up and manage automated Continuous Integration/Continuous Deployment (CI/CD pipelines); Experience implementing AI-driven quality checks and generating unit tests within CI/CD workflows.
• Minimum three (3) years of experience in Advanced Large Language Model (LLM) and Agentic System Design, including at least three (3) of the following: Hands-on experience designing multi-agent workflows that coordinate tasks across different AI agents; Building and optimizing Retrieval-Augmented Generation (RAG) pipelines, including improving vector database search for faster and more accurate results; Applying Chain-of-Thought reasoning techniques to support complex tasks in the Software Development Lifecycle (SDLC); Using frameworks such as LangGraph, CrewAI, or AutoGPT to automate end-to-end development processes.
• Minimum three (3) years of experience in Predictive Log and Telemetry Intelligence, including at least three (3) of the following: Building parsers and classifiers powered by Large Language Models (LLMs); Working with large, unstructured datasets such as system logs, distributed traces, and heat dumps; Designing solutions that can identify patterns and predict issues before they impact system performance; Applying AI techniques to improve log analysis and telemetry monitoring for faster troubleshooting.
• Minimum two (2) years of experience in AI Quality Guardrails, including at least three (3) of the following: Building Human-in-the-Loop systems where humans review and validate AI outputs for accuracy and safety; Creating automated evaluation frameworks such as Retrieval-Augmented Generation Assessment (RAGAS) and Generative Evaluation (G-Eval) to measure AI performance; Implementing safeguards to prevent hallucinations (incorrect or fabricated outputs) in technical results; Designing strategies to mitigate prompt-injection risks for autonomous AI agents, ensuring secure and reliable operations.

Nice To Haves

• Experience leveraging LLMs to analyze Salesforce metadata, generate Apex code, and automate validation of complex SFDX deployment packages.
• Experience in applying computer vision techniques for automated testing of frontend user interfaces (UI) and user experience (UX).
• Experience in designing AI agents, capable of analyzing and mapping complex distributed system dependencies to support refactoring of legacy codebases.

What This Job Offers

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