Talent.com
Senior Artificial Intelligence Engineer

Senior Artificial Intelligence Engineer

Magna HireBangalore
1 day ago
Job description

Description :

WizCommerce is an all-in-one AI-powered platform that empowers B2B wholesalers, distributors, and manufacturers to digitize their end-to-end sales, right from recording new leads to taking orders, processing payments, managing inventory, invoices, and more! Sales reps can take orders at tradeshows, online, or in the field and find hidden upsell opportunities to increase their average cart value.

Managers / owners can make data-backed, smarter decisions with advanced reporting and analytics.

WizCommerce seamlessly integrates with websites, ERPs, CRMs, and accounting systems, helping users manage their entire data on a single platform.

Economies across the world rely on goods reaching consumers, and every part of that journey is crucial.

Somehow, not all those parts have equally benefited from tech.

You can place an order for almost anything and have it delivered to your doorstep in a few clicks.

But for people behind the scenes, wholesalers, manufacturers, and distributors even the simplest things, like taking an order with customizations or accessing inventory information, remain complicated.

We want to transform the end-to-end sales experience in B2B commerce.

There is so much potential here, and the industry is struggling with tools that either partially solve the problem, are outdated, or simply don't work well with the existing tech infrastructure (and sometimes, all these things!).

We're excited to solve this problem and the ripple effect it will bring.

Job Description :

Function : Data Science and Analysis ? Data Science / Machine Learning

PythonNLPMachine LearningLLMsGenerative AI+8 moreComputer VisionAWSGoogle CloudAzureFastAPIMicroservicesEnterprise SoftwareKubernetes

As a Senior AI Engineer, you'll lead the design, development, and deployment of production-grade GenAI systems that power our next wave of intelligent products.

You'll work at the intersection of AI research and scalable engineering, building LLM and multi-agent systems that deliver measurable value for B2B businesses.

You'll collaborate with product and design teams to bring ideas to life, own AI architecture decisions, and mentor junior engineers to build high-quality, modular systems.

The core responsibilities for the job include the following :

Build Scalable AI Systems :

  • Design and deploy GenAI pipelines (LLMs, CV, RAG, multi-agent systems).
  • Architect modular, reusable AI components for multi-tenant SaaS environments.

Integrate and Scale :

  • Build APIs integrating structured data, LLMs, and computer vision workflows.
  • Ensure high performance, observability, and cost-efficient scaling.
  • Experiment and Innovate :

  • Lead internal POCs on new GenAI techniques, RAG, fine-tuning, diffusion, and multimodal AI.
  • Stay hands-on with frameworks like LangChain, CrewAI, and LlamaIndex.
  • Infrastructure and DevOps :

  • Define CI / CD, containerization (Docker, Kubernetes), and IaC standards (Terraform / Helm).
  • Implement monitoring and logging using Prometheus, Grafana, or Cloud Metrics.
  • Mentor and Collaborate :

  • Guide junior engineers, review code, and enforce best practices.
  • Translate complex business problems into technical AI solutions.
  • You'll Drive Projects Like :

  • AI Sales Copilot - Enterprise conversational AI for pipeline intelligence.
  • Smart Catalog Engine - Automated visual enrichment for global B2B catalogs.
  • AI-powered CRM Insights - Predictive models for engagement and lead scoring.
  • GenAI Automation Layer - Connecting ERPs, ecommerce, and CRM via AI workflows.
  • Requirements :

  • 4+ years of experience in AI / ML engineering; 2+ years in GenAI productization.
  • Expertise in Python, FastAPI, and microservices architecture.
  • Hands-on experience with LangChain, LlamaIndex, CrewAI, or similar frameworks.
  • Deep understanding of NLP, CV, embeddings, and multi-modal architectures.
  • Familiarity with OpenAI, Vertex AI, or Hugging Face APIs.
  • Strong foundation in cloud infrastructure (AWS / GCP / Azure) and Kubernetes.
  • Nice-to-have :

  • Experience in B2B SaaS, CRM, or SalesTech.
  • Exposure to RAG, Pinecone, FAISS, or vector DB setups.
  • Some frontend exposure (React / TypeScript) for prototyping AI features.
  • Why Explore a Career at WizCommerce :

    We're growing fast and looking for talented people to help us shape the future of B2B commerce.

  • Be part of a global team building AI-first solutions for wholesalers and distributors
  • (ref : hirist.tech)

    Create a job alert for this search

    Artificial Intelligence Engineer • Bangalore