16 hours ago
Pune, IndiaStaff+
Responsibilities
- Lead the design and development of AI-powered product discovery, semantic search, retrieval, recommendation, and conversational commerce services.
- Own technical architecture, engineering standards, and technology decisions across search platforms, agentic AI capabilities, and backend services.
- Design and build scalable, low-latency APIs, microservices, event-driven systems, and integration layers for real-time consumer and commerce experiences.
- Develop retrieval pipelines, vector search solutions, embedding strategies, and AI evaluation frameworks.
- Build and integrate agentic AI solutions using enterprise data, business services, and commerce APIs.
- Integrate LLM APIs, AI services, search platforms, enterprise systems, product catalogues, customer data, inventory, and commerce systems.
- Drive secure, observable, reliable, resilient, and responsible AI solutions through architecture reviews, code reviews, mentorship, experimentation, and automation.
- Provide technical leadership across teams and guide delivery partners and the long-term architecture and roadmap of AI-powered commerce platforms.
Requirements
- 10+ years of experience designing and building large-scale distributed backend systems on cloud-native platforms.
- 3+ years of experience leading a technical capability, platform, project, or engineering team.
- Hands-on experience building and operating semantic search, vector search, retrieval, recommendation, or product discovery platforms at scale.
- Strong understanding of embeddings, vector databases, hybrid search, retrieval-augmented generation, and relevance optimisation.
- Experience building production AI applications using LLM APIs, foundation models, agentic AI frameworks, tool or function calling, workflow orchestration, and context management.
- Understanding of AI evaluation, observability, guardrails, monitoring, and responsible AI practices.
- Expertise in backend engineering, API design, microservices, event-driven architectures, scalable integrations, Java, and Spring Boot.
- Experience with Redis or equivalent caching technologies, SQL and NoSQL databases, distributed data management, and high-throughput systems.
- Strong understanding of distributed systems, cloud-native architecture, messaging platforms, scalability patterns, observability, reliability engineering, performance optimisation, and production operations.
- Proven ability to make architectural decisions, influence technical direction, and mentor engineers across teams.
- Experience with Azure OpenAI, Azure AI Search, Elasticsearch, OpenSearch, Pinecone, Weaviate, LangGraph, LangChain, or Semantic Kernel is highly desirable.
- Experience using coding agents, LLMs, or AI-assisted engineering tools to improve software delivery and developer productivity.
- Experience in eCommerce, retail, digital consumer products, search platforms, or personalised consumer experiences is strongly preferred.
Categories
About PUMA
PUMA designs, manufactures, and sells athletic and sportstyle footwear, apparel, and accessories for athletes and lifestyle consumers worldwide. The public company (ETR: PUM), founded in 1948 and headquartered in Herzogenaurach, Germany, goes to market through wholesale, retail, and direct-to-consumer e-commerce, and owns the Cobra Golf and stichd brands. Its product lines span football, running, training, and everyday wear across more than 100 countries.