Generative Ai Security Evaluation

Generative Ai Security Evaluation Developer Jobs

2 jobs found

1d ago

Generative AI Full Stack Developer

Realign LLC Plano, TX

Plano, TX

1d ago

$110k+/yr Full time Backend Developer Agentic Ai Agentic Ai Orchestration

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Job Description

Realign LLC is hiring a Generative AI Full Stack Developer in Plano, TX (onsite) to design and deploy enterprise-grade LLM and agentic AI applications.

Responsibilities

Design and develop GenAI applications using enterprise LLM platforms including Azure OpenAI and related model services
Build agentic AI workflows with LangGraph and LangChain
Develop and optimize Retrieval-Augmented Generation (RAG) for business and technical use cases
Integrate vector databases and semantic search to improve knowledge retrieval accuracy
Build AI copilots, chatbots, virtual assistants, and workflow automation solutions
Apply prompt engineering, evaluation, and tuning to improve AI response quality
Implement Model Context Protocol (MCP) integrations to connect LLM apps with tools, data sources, and business systems
Create reusable AI orchestration patterns for APIs, databases, files, and enterprise knowledge repositories
Design context management, memory, and tool-calling strategies for AI agents
Develop scalable backend services using Python with FastAPI, Flask, or Django
Create RESTful APIs, microservices, and secure integration services
Design, query, and optimize SQL databases for application and reporting needs
Implement authentication, authorization, logging, and secure coding practices
Build responsive web applications and dashboards using React, Next.js, Angular, Vue.js, or similar frameworks
Integrate AI-powered user experiences into enterprise web applications
Collaborate with product, UX, and business teams to deliver intuitive and user-friendly interfaces
Manage and troubleshoot Linux-based application environments
Automate deployment and operational tasks using scripting and CI/CD pipelines
Containerize services using Docker and support deployments on Kubernetes and/or cloud platforms
Monitor production performance, reliability, and security

Requirements

Strong expertise in Generative AI, Agentic AI, and full-stack application development
Hands-on experience designing and deploying enterprise-grade AI solutions using Large Language Models (LLMs), LangChain, LangGraph, and RAG frameworks
Highly proficient in Python, SQL, Linux, REST APIs, and Model Context Protocol (MCP)
Experience integrating AI agents, vector databases, enterprise systems, and cloud services
Strong full-stack skills including React/Next.js, TypeScript, backend API development, microservices, Docker, Kubernetes, and CI/CD
Essential experience with Azure OpenAI, Azure AI Search, cloud-native architectures, secure coding practices, and production deployment of scalable AI solutions
Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related discipline
5+ years of software development experience with strong Python and SQL skills
2+ years of hands-on experience building GenAI, LLM, or AI-enabled applications
Experience with LangChain, LangGraph, RAG pipelines, and LLM integration patterns
Strong knowledge of API development, backend services, frontend development, and Linux environments
Ability to design secure, scalable, production-ready enterprise applications

Technologies

Generative AI, Agentic AI, Large Language Models (LLMs)
LangChain, LangGraph, Retrieval-Augmented Generation (RAG)
Python, SQL, Linux
REST APIs, Model Context Protocol (MCP)
React, Next.js, TypeScript, Angular, Vue.js
Docker, Kubernetes, CI/CD pipelines
Azure OpenAI, Azure AI Search
FastAPI, Flask, Django, Microservices
Authentication, Authorization, Logging
Vector databases, Semantic search
Prompt engineering, Evaluation, Tuning
Cloud-native architectures

Required Skills

Cloud Developer
SQL
Application Developer

Salary: USD 110,000 per year

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1mo ago

Machine Learning Engineer

GitHub, Inc. Remote 📍 United States Remote

Remote

1mo ago Closed

$108k - $286k/yr Full time Agentic Ai Ai Enabled Security Ai Security

This position is no longer accepting applications (closed Sep 16, 2026).

Job Description

GitHub is hiring an experienced Machine Learning Engineer to design, build, and deploy agentic LLM-based solutions that help detect and prevent fraud, abuse, and security threats at scale.

Responsibilities

Design, build, and deploy agentic LLM solutions for fraud, abuse, and security threat detection and prevention, including uses such as content classification and multi-step agentic investigations.
Develop production-grade systems that run reliably with high-volume event streams, leveraging AI coding assistants to accelerate and improve engineering output.
Build and operate scalable ML systems on cloud platforms (for example, Azure AI Foundry) to train, deploy, and serve models and agentic solutions in production.
Evaluate and improve models and agentic systems using offline evaluations, including tool-use loops and LLM-as-judge evaluation, plus performance metrics and feedback from production deployments.
Identify product vulnerabilities that enable abuse and provide consultation to product teams on reviewing new features.
Collaborate with cross-functional partners, including data scientists, software engineers, product managers, and content moderators, to integrate agentic solutions into production systems.
Document the systems you build and support the technical growth of peers.

Requirements

4+ years experience in machine learning or a related field.
OR a Bachelor’s Degree in Computer Science, Software Development, Electrical or Computer Engineering, Mathematical Sciences, or a related field, plus 2+ years experience in machine learning or a related field.
OR a Master’s Degree in Machine Learning, Computer Science, Software Development, Electrical or Computer Engineering, Mathematical Sciences, or a related field.
OR equivalent experience.
Strong understanding of large language models and hands-on experience applying them at scale, ideally for classification, agentic workflows, or agents.
Strong software engineering skills, including experience building with AI coding assistants.
Experience designing or evaluating agentic systems, such as tool-use loops, multi-step workflows, or LLM-as-judge evaluation.
Hands-on experience building and operating classification or detection systems at scale, including handling imbalanced data and precision/recall tradeoffs.
Experience in Trust and Safety, National Security, or fighting spam, malware, fraud, and threat actor activity at scale.
Experience with responsible AI and Safety-by-Design.
Experience managing user data and privacy.
Solid understanding of machine learning algorithms (including supervised and unsupervised learning and anomaly detection) and practical implementation.

Technologies

Large language models (LLMs)
Azure AI Foundry
Tool-use loops
LLM-as-judge evaluation
AI coding assistants
Machine learning
Precision/recall tradeoffs

What We Value

Collaboration
Empathy
Quality
Positive Impact
Shipping

Compensation

Base salary range: USD 107,700.00 - USD 285,900.00 per year

GitHub Leadership Principles

GitHub values: Customer-obsessed; Ship to learn; Growth mindset; Own the outcome; Better together; Diverse and inclusive
Manager fundamentals: Model; Coach; Care
Leadership principles: Create clarity; Generate energy; Deliver success

Location

Remote (United States)

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Generative Ai Security Evaluation Developer Jobs

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