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 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.
- Establishing monitoring and guardrails to track prompt effectiveness and ensure reliable, reproducible results.
- 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.
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.
Skills Required
- At least 3 years of experience in AI-driven core development.
- Strong Python skills and experience building scalable applications.
- Experience using LLMs to refactor code and generate documentation.
- Experience maintaining high-quality Git workflows in collaborative teams.
- At least 2 years of experience in LLM integration and prompt engineering.
- Experience implementing RAG features in real applications.
- Experience designing, testing, and iterating prompts for technical tasks.
- Proficiency with LangChain or an equivalent framework such as LlamaIndex or Haystack.
- Experience integrating LLMs with Jira, GitHub, and internal knowledge wikis, including authentication and permissions.
- Experience establishing monitoring and guardrails for prompt effectiveness and reliable results.
- At least 2 years of experience in technical data classification.
- Experience applying AI and ML techniques to categorize and summarize technical data.
- Experience building classifiers to distinguish critical system errors from routine logs.
- Experience designing solutions that prioritize developer alerts by severity and impact.
- Experience applying data preprocessing and feature engineering to improve classification accuracy.
- Experience implementing monitoring and validation for classifier reliability.
- At least 2 years of experience building AI-powered tools and extensions using LLM APIs.
What We Do
Founded in 2007, Anvaya Solutions is an award-winning, woman-owned CMMI Level 3 cyber security and information assurance consulting firm. The company is dedicated to helping organizations across both public and private sectors enhance their security posture, protect their reputation, and increase compliance with regulations while reducing the risk of financial losses and liability from security breaches through its expertise in consulting, assessments, and training.
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