Senior Software Engineer

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®, theheart.org®, and RxList® are among the trademarks of WebMD Health Corp. or its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, ****** orientation, gender identity, national origin, disability, or veteran status. For Company details, visit our website: www.webmd.com / www.internetbrands.com Education: B.E. in Computer Science/IT or related engineering discipline Experience: 4 – 7 years Shift Timings: 2:00 to 11:00 PM About the Role We are looking for a skilled Senior Software Engineer with a strong background in Python and Generative AI. 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 backends using Python and FastAPI/Django/Flask. Build and maintain vector search capabilities using tools like FAISS, LanceDB, Pinecone, etc. Prompt Engineering & Agent Systems 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 Front End Development – Hands-on experience with at least one modern front-end framework such as React or Vue.js for building responsive and interactive user interfaces. 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 Core Technical Skills Strong Python skills (OOP, security, performance). Experience with frameworks like FastAPI, Flask, or Django. 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. Experience with vector databases (FAISS, Pinecone, LanceDB, Weaviate). Familiarity with agent frameworks like CrewAI, Autogen, Cursor, or Windsurf. Strong understanding of the Cursor Rule (intent context action) and real-world experience applying it in agent workflows. Solid understanding of how to construct and pass dynamic context to LLMs, including techniques like retrieval-augmented generation (RAG), session memory, and prompt templating. Experience fine-tuning or customizing LLMs is a plus. Frontend Hands-on experience with at least one modern front-end framework such as React or Vue.js for building responsive and interactive user interfaces. RDBMS Experience in relational database management systems such as SQL Server, MySQL, or PostgreSQL, and proficiency in writing SQL queries and stored procedures. 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.