Sr. Staff Engineer (Java Fullstack or Python, AI)

Job Description

• Design and build end-to-end full stack applications (frontend, backend, APIs, data layers)
• Architect scalable, resilient systems using microservices and cloud-native patterns
• Integrate Generative AI models (LLMs) into applications for automation, insights, and user experience
• Build and optimize AI-driven workflows (RAG pipelines, agents, prompt engineering)
• Develop applications using tools like:OpenAI / Azure OpenAI / Anthropic APIsLangChain / LlamaIndex / Semantic Kernel
• Implement:Retrieval-Augmented Generation (RAG)Vector databases (Pinecone, Weaviate, FAISS)Embedding pipelines and semantic search
• Design prompt strategies and evaluation frameworks
• Ensure responsible AI practices (safety, bias mitigation, monitoring)
• Build modern UI using:React, Next.js, Angular, or Vue
• Create intuitive interfaces for AI-powered features (chat, copilots, dashboards)

Backend Development

• Develop scalable services using:Node.js, Python, Java, or Go
• Build REST/GraphQL APIs and real-time systems
• Handle orchestration of AI services and workflows
• Work with:SQL/NoSQL databasesData pipelines and streaming (Kafka, etc.)
• Deploy systems using:AWS / Azure / GCPDocker, Kubernetes
• Implement CI/CD pipelines
• Provide technical leadership and mentorshipYou will report to a Senior Engineering Manager

Qualifications

• You need to have 8–12+ years of full stack development experience
• You need to be expertise in:Frontend frameworks (React/Next.js preferred)Backend systems (Node.js / Python / Java)
• Experience with system design, scalability, and performance

GenAI & AI/ML

• Hands-on experience with:LLM APIs and GenAI platformsRAG architectures and vector search
• Understanding of:Prompt engineeringModel evaluation and tuning
• Experience building AI-powered applications in production

Modern Tooling

• Cloud platforms (AWS, Azure, GCP)
• Containerization (Docker, Kubernetes)
• DevOps practices and CI/CD
• Git, testing frameworks, observability tools
• 3+ years of experience with AI agents and autonomous workflows
• Experience in enterprise-scale systems

Preferred Qualifications

• Experience with AI agents and autonomous workflows
• Exposure to MLOps pipelines
• Experience in enterprise-scale systems