Location: Gurgaon, Haryana

Experience: 3–5 Years

Employment Type: Full-time

About The Role

We are seeking a Full Stack Software Developer who thinks in systems (not just prompts) and can build scalable IP tools enhanced with AI/LLM capabilities. The role involves end-to-end development of IP platforms, including patent analytics and intelligent automation workflows.

Key Responsibilities

Design and develop full-stack applications for IP tools and platforms.
Build scalable backend services, APIs, and databases; develop responsive frontends.
Implement AI-powered features, including:

RAG pipelines (document ingestion, embeddings, vector search, re-ranking)
Agentic workflows (tool calling, planning, memory, multi-step reasoning)
Prompt engineering and evaluation pipelines

Work with LLM APIs (e.g., OpenAI, Claude) optimizing cost, latency, and quality.
Develop integrations with databases, third-party APIs, and event-driven systems.
Collaborate with IP analysts, product teams, and designers to translate business needs into technical solutions.
Optimize performance, scalability, and security; participate in SDLC, testing, and deployment.
Leverage AI coding tools (e.g., Claude, GitHub Copilot) for rapid prototyping and development.

Required Skills & Qualifications

Bachelor's degree in Computer Science, IT, or related field.
Proven full-stack development experience.
Strong proficiency in:

Frontend: HTML, CSS, JavaScript, React / Angular / Vue
Backend: Node.js / Python / Java / .NET
Databases: MySQL, PostgreSQL, MongoDB

Experience with REST APIs, microservices, and cloud platforms (AWS/Azure/GCP).
Strong understanding of:

RAG architectures, embeddings, and vector search
LLM APIs (OpenAI, Claude), prompt engineering, and chaining

Familiarity with vector databases (Pinecone, Weaviate, Milvus).
Experience using AI-assisted development tools (e.g., GitHub Copilot).
Knowledge of SDLC, Git, and agile methodologies.

Preferred Skills (Good To Have)

Experience in IP domain tools (patent search, analytics, IP management systems).
Exposure to agent frameworks (LangChain, LlamaIndex) and real-world AI feature deployment.
Experience with web scraping, large datasets, streaming/WebSockets, or event-driven systems.
Hands-on with patent databases (USPTO, EPO, WIPO).
Exposure to Kubernetes or advanced cloud deployments.

Full Stack Software Developer (IP Tools Development)