Internet Brands
About the Role
We are looking for a skilled Senior Software Engineer with a strong background in Generative AI, Agentic AI, and applied software engineering. You will play a key role in building agentic AI systems, designing prompt-driven workflows, integrating tools with LLMs, and mentoring the team on the latest advancements in AI technologies.
Roles and Responsibilities
Architect and build AI-powered tools using LLMs (OpenAI, Claude, Mistral, etc.) with best practices in prompt engineering and context engineering.
Integrate and customize AI agents using frameworks like LangChain, Google ADK, Claude Agent SDK, or custom solutions.
Utilize observability and evaluation tools such as Langfuse.
Collaborate with product and research teams to translate requirements into prompt workflows and agent behaviors.
Design and implement scalable systems and infrastructure to support AI agents and workflows, using suitable tools and technologies.
Prompt Engineering & Agentic Workflows
Design advanced, multi-agent workflows that incorporate memory, dynamic context injection, and multi-step reasoning.
Experiment with and optimize agentic architectures for real-world tasks (retrieval, generation, summarization, etc.).
Front-End Integration
Collaborate with UI/UX or front-end teams to integrate AI-powered features into user-facing applications as needed.
Adaptability & Learning Mindset
Willingness and ability to quickly learn and adapt to new technologies, frameworks, and tools as needed. Open to working across the stack to support the development of AI-powered solutions. Comfortable stepping beyond core skill sets to contribute wherever needed in the AI application lifecycle.
Testing & DevOps
Write unit and integration tests to ensure reliability.
Participate in code reviews, CI/CD pipelines, and deploy models/services using best practices.
Mentorship & Collaboration
Upskill peers in GenAI, prompt engineering, and best practices.
Contribute to knowledge-sharing and architectural reviews across teams.
Stay updated with evolving AI ecosystems, tools, and research.
Requirements Technical Proficiency
Strong programming fundamentals (OOP, security, performance).
Experience building scalable and modular systems using modern frameworks and tools.
Proficiency with LLMs, OpenAI/Anthropic APIs, LangChain or similar.
Full Stack Development
6+ years of experience in full stack development.
Strong experience with:
API design and service-oriented architectures
Backend development in one or more modern languages (Python, Java, PHP, TypeScript or similar)
Distributed systems and cloud-based infrastructure
SQL and relational databases
Proven ability to design systems with performance, reliability, and scalability in mind.
GenAI & Agentic AI
1+ years of experience working with GenAI and LLMs.
1+ years of experience in prompt engineering and AI agent architectures.
Familiarity with agent frameworks like LangChain, Google ADK, and Claude Agent SDK.
Experience with Agentic IDEs such as Cline, Cursor, and Replit.
Strong understanding of the Cursor Rule (intent → context → action), a principle for structuring agent behavior, and real-world experience applying it in workflows.
Solid understanding of how to construct and pass dynamic context to LLMs, including techniques like session memory and prompt templating.
Experience adapting or customizing LLMs is a plus.
Additional Technical Exposure (Good to Have)
Familiarity with vector databases and graph databases is a plus.
Soft Skills
Excellent communication and collaboration skills.
Self-driven and eager to mentor and share knowledge.
Compensation & Benefits At Internet Brands, we carefully consider a wide range of factors when determining compensation, including your background and experience. These considerations can cause your compensation to vary. We expect the compensation for this role to have a range that starts at $100k - $130k and will depend on your skills, qualifications, and experience. We encourage all interested candidates to apply.
In addition to our awesome culture, we offer a comprehensive benefits package designed to support the health and well-being of you and your family. Our benefits include health insurance options such as medical, dental, and vision coverage, flexible spending accounts (FSA) for medical and dependent care, short-term and long-term disability insurance, and life and AD&D insurance. We also provide a 401(k) retirement savings plan with a company match, paid time off (PTO), paid holidays, commuter benefits as well as access to our Employee Assistance Program (EAP) and well-being coaching services. In addition, employees can take advantage of voluntary benefits such as home, auto and pet insurance, and discounted legal and financial services. For more details, feel free to inquire during the interview process.
Internet Brands® is an equal opportunity employer, and we welcome applicants from all backgrounds. We comply with all applicable laws and regulations, including the City of Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO).
Notice to California residents: you can find information about our privacy practices, on: https://www.internetbrands.com/work-with-us/cpra
#J-18808-Ljbffr
Roles and Responsibilities
Architect and build AI-powered tools using LLMs (OpenAI, Claude, Mistral, etc.) with best practices in prompt engineering and context engineering.
Integrate and customize AI agents using frameworks like LangChain, Google ADK, Claude Agent SDK, or custom solutions.
Utilize observability and evaluation tools such as Langfuse.
Collaborate with product and research teams to translate requirements into prompt workflows and agent behaviors.
Design and implement scalable systems and infrastructure to support AI agents and workflows, using suitable tools and technologies.
Prompt Engineering & Agentic Workflows
Design advanced, multi-agent workflows that incorporate memory, dynamic context injection, and multi-step reasoning.
Experiment with and optimize agentic architectures for real-world tasks (retrieval, generation, summarization, etc.).
Front-End Integration
Collaborate with UI/UX or front-end teams to integrate AI-powered features into user-facing applications as needed.
Adaptability & Learning Mindset
Willingness and ability to quickly learn and adapt to new technologies, frameworks, and tools as needed. Open to working across the stack to support the development of AI-powered solutions. Comfortable stepping beyond core skill sets to contribute wherever needed in the AI application lifecycle.
Testing & DevOps
Write unit and integration tests to ensure reliability.
Participate in code reviews, CI/CD pipelines, and deploy models/services using best practices.
Mentorship & Collaboration
Upskill peers in GenAI, prompt engineering, and best practices.
Contribute to knowledge-sharing and architectural reviews across teams.
Stay updated with evolving AI ecosystems, tools, and research.
Requirements Technical Proficiency
Strong programming fundamentals (OOP, security, performance).
Experience building scalable and modular systems using modern frameworks and tools.
Proficiency with LLMs, OpenAI/Anthropic APIs, LangChain or similar.
Full Stack Development
6+ years of experience in full stack development.
Strong experience with:
API design and service-oriented architectures
Backend development in one or more modern languages (Python, Java, PHP, TypeScript or similar)
Distributed systems and cloud-based infrastructure
SQL and relational databases
Proven ability to design systems with performance, reliability, and scalability in mind.
GenAI & Agentic AI
1+ years of experience working with GenAI and LLMs.
1+ years of experience in prompt engineering and AI agent architectures.
Familiarity with agent frameworks like LangChain, Google ADK, and Claude Agent SDK.
Experience with Agentic IDEs such as Cline, Cursor, and Replit.
Strong understanding of the Cursor Rule (intent → context → action), a principle for structuring agent behavior, and real-world experience applying it in workflows.
Solid understanding of how to construct and pass dynamic context to LLMs, including techniques like session memory and prompt templating.
Experience adapting or customizing LLMs is a plus.
Additional Technical Exposure (Good to Have)
Familiarity with vector databases and graph databases is a plus.
Soft Skills
Excellent communication and collaboration skills.
Self-driven and eager to mentor and share knowledge.
Compensation & Benefits At Internet Brands, we carefully consider a wide range of factors when determining compensation, including your background and experience. These considerations can cause your compensation to vary. We expect the compensation for this role to have a range that starts at $100k - $130k and will depend on your skills, qualifications, and experience. We encourage all interested candidates to apply.
In addition to our awesome culture, we offer a comprehensive benefits package designed to support the health and well-being of you and your family. Our benefits include health insurance options such as medical, dental, and vision coverage, flexible spending accounts (FSA) for medical and dependent care, short-term and long-term disability insurance, and life and AD&D insurance. We also provide a 401(k) retirement savings plan with a company match, paid time off (PTO), paid holidays, commuter benefits as well as access to our Employee Assistance Program (EAP) and well-being coaching services. In addition, employees can take advantage of voluntary benefits such as home, auto and pet insurance, and discounted legal and financial services. For more details, feel free to inquire during the interview process.
Internet Brands® is an equal opportunity employer, and we welcome applicants from all backgrounds. We comply with all applicable laws and regulations, including the City of Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO).
Notice to California residents: you can find information about our privacy practices, on: https://www.internetbrands.com/work-with-us/cpra
#J-18808-Ljbffr