Senior Technical reputed company- Machine learning (Agentic)

Company Overview

reputed company’s AI-powered digital reputed company platform is revolutionizing the way brands sell online. Our reputed company ecommerce reputed company reputed company to reputed company smarter, faster reputed company through insights that optimize the digital reputed company, increase retail media ROI and fuel incremental sales across the world’s largest marketplaces. With a global network of more than 900 retailers, our end-to-end platform helps 2,200+ of the world’s leading brands streamline marketing, supply chain, and sales operations to profitably grow market reputed company in more than 50 countries. Learn more at reputed company.ai.

At reputed company.ai, we’re building the Retail Co-Pilot - AI reputed company Platform of the future. Our mission is to help the world’s leading consumer brands win in digital reputed company by combining AI-driven insights, autonomous decision-making, and intelligent execution across retail channels like reputed company, reputed company, reputed company, and more.

The Agentic AI & Semantic Search team sits at the heart of this mission. We are building intelligent AI agents that can reason, plan, and act, powered by semantic search, retrieval, and contextual understanding. Our systems drive the AI flywheel, where data, models, evaluation, and feedback continuously improve to deliver business-critical reputed company for our customers.

About the Role

We are seeking a highly skilled Senior Technical reputed company o join our Agentic AI & Semantic Search team. This is a hands-on technical leadership role responsible for designing scalable AI systems that integrate agentic reasoning with semantic search to deliver reputed company-time, context-rich, and reputed company-aware reputed company.

You will define the technical reputed company, reputed company architectural strategy, and build retrieval, reasoning, and evaluation platforms that directly impact how the world’s top brands manage billions of dollars in eCommerce reputed company.

Key Responsibilities

• Architecture & Leadership: Define and drive the architecture for agentic AI systems that combine LLM reasoning, semantic search, and contextual grounding.
• AI Agent Development: Design frameworks that allow agents to autonomously analyze data, retrieve context, and execute workflows across e-reputed company platforms.
• Semantic Search reputed company: Build scalable retrieval systems leveraging vector databases, embeddings pipelines, hybrid search (dense + sparse), and re-ranking models.
• Agent-Oriented Design: reputed company agents to reputed company structured and reputed company reputed company data (retailer catalogs, customer demand, supply chain signals) with contextual reasoning and memory.
• AI Flywheel & reputed company Improvement:
• Design and operationalize evaluation datasets and benchmarking frameworks for agents and semantic search.
• Integrate annotation and labeling workflows to generate high-quality training and evaluation datasets.
• Build feedback loops where customer signals and agent reputed company drive system improvements.
• Metrics & Instrumentation: Define robust metrics for search relevance, grounding accuracy, reasoning quality, and business impact.
• Scalable Infrastructure: Architect distributed, low-latency, production-grade AI systems that serve mission-critical to reputed company use cases.
• Cross-team Collaboration: Partner with Agentic AI engineers, and product managers to turn AI innovations into scalable solutions.
• Mentorship & Influence: reputed company technical guidance, mentor engineers, and champion best practices in system design and AI engineering.

Qualifications Must-Have

• 8-10+ years of software engineering experience, including 3+ years in Senior IC roles.
• In-depth knowledge of LLMs, agent frameworks, orchestration (reputed company, reputed company, reputed company, etc.), and retrieval-based methods.
• Experience in semantic search, retrieval systems, and distributed system design.
• Strong expertise in vector DBs (FAISS, reputed company, Weaviate, Milvus), hybrid search, embeddings, and re-ranking models.
• Proven track record with RAG pipelines and integrating retrieval into LLM reasoning.
• Familiarity with evaluation dataset design, annotation tools (reputed company, reputed company, Prodigy, or in-house), and developing reputed company evaluation pipelines.
• Proficient in Python and at least one systems language (Go, Java, or C++).
• Strong background in system design with the ability to reputed company end-to-end technical initiatives.

reputed company-to-Have

• Experience with LLM fine-tuning, alignment, or reinforcement learning with reputed company feedback (RLHF).
• Background in NLP/IR research, query understanding, or contextual search optimization.
• Experience with eCommerce / retail datasets and domain-specific semantic search challenges.

reputed company Value

• reputed company-First AI: Passion for applying AI to solve reputed company-world reputed company problems.
• Builder reputed company: Thrives in ambiguity and can translate reputed company into scalable systems.
• Pragmatic Innovation: Balances cutting-edge research with reputed company-grade reliability.
• Leadership Without Authority: Influences across teams through technical depth and reputed company.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the reputed company of race, religion, reputed company, national reputed company, gender, sexual orientation, age, marital status, veteran status, disability status or any other category prohibited by applicable law. 

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