Senior Software Engineer Job ID 2025-9228

About the Company:

Headquartered in El Segundo, Calif., Internet Brands is a fully integrated online media and software services organization focused on four high-value vertical categories: Health, Automotive, Legal, and Home/Travel. The company's award-winning consumer websites lead their categories and serve more than 250 million monthly visitors, while a full range of web presence offerings has established deep, long-term relationships with SMB and enterprise clients. Internet Brands' powerful, proprietary operating platform provides the flexibility and scalability to fuel the company's continued growth. Internet Brands is a portfolio company of KKR and Temasek.

WebMD Health Corp., an Internet Brands Company, is the leading provider of health information services, serving patients, physicians, health care professionals, employers, and health plans through our public and private online portals, mobile platforms, and health-focused publications. The WebMD Health Network includes WebMD Health, Medscape, Jobson Healthcare Information, prIME Oncology, MediQuality, Frontline, QxMD, Vitals Consumer Services, MedicineNet, eMedicineHealth, RxList, OnHealth, Medscape Education, and other owned WebMD sites. WebMD, Medscape, CME Circle, Medpulse, eMedicine, MedicineNet, , and RxList are among the trademarks of WebMD Health Corp. or its subsidiaries.

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All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status

Experience – 4 – 7 years
Qualification: B.E. Computer Science/IT degree (or any other engineering discipline) 

Work Timings: 2 PM to 11 PM 

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

Design & Development 

• Architect and build AI-powered tools using LLMs (e.g., OpenAI, Claude, Mistral, etc.).

• Integrate and customize AI agents using frameworks like LangChain, CrewAI, or custom solutions.

• 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, modular prompt chains that incorporate memory, dynamic context injection, and multi-step reasoning across agent workflows.

• 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, Hugging Face Transformers, or similar.

GenAI & Agentic AI 

• 3+ years of experience working with GenAI and LLMs.

• 2+ years of experience in prompt engineering and AI agent architectures.

• Familiarity with agent frameworks like CrewAI, Autogen, Cursor, or Windsurf.

• 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 front-end frameworks or relational databases is a plus.

Testing & DevOps 

• Experience with Git, CI/CD workflows, and test automation.

• Familiarity with DevOps tools, monitoring, and logging in production environments.

Soft Skills 

• Excellent communication and collaboration skills.

• Self-driven and eager to mentor and share knowledge.