Senior AI Technical Architect

Hireology; Sacramento, Northern (CA, KY); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Anvaya Solutions, Inc. is seeking an AI Software Engineer for a 1-year base term, with potential extension. The role can be performed remotely or onsite in the Sacramento, CA area.

You will work on AI-enhanced software systems, build and optimize LLM-based workflows, and improve telemetry and quality guardrails. The ideal candidate has extensive experience across Python backend, CI/CD pipelines, RAG pipelines, and multi-agent coordination, with a strong focus on robust, safe AI-enabled software

Qualifications

• Minimum five (5) years of experience in AI-Enhanced Software Engineering.
• Experience with Python and backend architecture.
• Experience using AI coding assistants (GitHub Copilot or Cursor).
• Experience setting up automated 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.
• Experience designing multi-agent workflows coordinating tasks across AI agents.
• Building and optimizing Retrieval Augmented Generation (RAG) pipelines, including vector search optimization.
• Applying Chain of Thought reasoning to support SDLC tasks.
• Using LangGraph, CrewAI, or AutoGPT to automate development processes.
• Minimum three (3) years in Predictive Log and Telemetry Intelligence.
• Building parsers/classifiers powered by LLMs from unstructured logs/telemetry.
• Designing solutions to identify patterns and forecast issues in systems.
• Applying AI to improve log analysis and telemetry monitoring for troubleshooting.
• Two years in AI Quality Guardrails including Human-in-the-Loop and evaluation frameworks (RAGAS, G-Eval) and safeguarding against hallucinations.
• Mitigating prompt injection risks for autonomous AI agents and secure operations.

Skills

Python

Backend architecture

AI coding assistants

CI/CD pipelines

Quality checks in CI/CD

LLM / Agentic system design

Multi-agent workflows

RAG pipelines

Vector databases

Chain of Thought reasoning

LangGraph / CrewAI / AutoGPT

Predictive log & telemetry

Log parsing / classification

Telemetry monitoring

AI guardrails & safety

Human-in-the-Loop systems

RAGAS / G-Eval

Prompt injection mitigation

Tools

LangGraph

CrewAI

AutoGPT

GitHub Copilot

Job description

1-YEAR BASE TERM, WITH POTENTIAL EXTENSION IF CONTRACT HOURS STILL REMAIN AFTER BASE TERM. CAN BE PERFORMED REMOTELY OR ONSITE IN SACRAMENTO, CA AREA.

Mandatory Requirements

• A minimum of five (5) years of experience in AI-Enhanced Software Engineering. Experience shall include at least three (3) of any 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.
• A minimum of three (3) years of experience in Advanced Large Language Model (LLM) and Agentic System Design. Experience shall include at least three (3) of any 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.
• A minimum of three (3) years of experience in Predictive Log and Telemetry Intelligence. Experience shall include at least three (3) of any of the following:
  • Building parsers and classifiers powered by Large Language Models (LLMs).
  • Working with large, unstructured datasets such as system logs, distributed tracers, and heap 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.
• A minimum of two (2) years of experience in AI Quality Guardrails. Experience shall include at least three of any 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.

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.