AI Engineer

Job Summary

As an AI Engineer, you will rapidly prototype and scale pure Generative AI (GenAI) applications into production-grade features that drive the next wave of AI-powered products. This role involves combining no-code/low-code tooling, managed AI services, and strong engineering practices to deliver high-impact minimum viable products (MVPs) and evolving them into robust, user-ready solutions.

Responsibilities

• Rapid Prototyping: Spin up GenAI MVPs in days using no-code/low-code tools and managed AI APIs (e.g., OpenAI, Vertex AI).
• Build & Ship: Transform prototypes into lightweight microservices (FastAPI, Docker) that can scale efficiently while maintaining fast inference times.
• API Glue: Integrate large language models (LLMs) and vision models into our technology stack with clear, maintainable endpoints.
• Health & Metrics: Establish basic monitoring (logs, simple dashboards) to track service latency, errors, and usage metrics.
• Continuous Improvement: Experiment with new GenAI libraries, refine prompts, and share insights and learnings with the team.

Opportunities You’ll Own

• AI Assistant: Architect and enhance a conversational AI companion to provide sales representatives with quotes, order insights, and customer intelligence for both online and offline engagements.
• Lifestyle Photography: Develop automated retouching and lifestyle-scene generation workflows to improve product imagery for catalogs and marketing purposes.
• Smart CRM Features: Enhance WizCRM with AI-driven contact enrichment, deal predictions, and actionable next-step suggestions.
• Email Plugins: Create contextual compose/reply assistants for Outlook and Gmail that are seamlessly integrated with WizCommerce data.
• AI Integration Tools: Design an intuitive, low-code user interface for schema mapping, data validation, and automated synchronizations across ERPs, e-commerce sites, and internal systems.

Qualifications

• Experience: Minimum 2 years of experience shipping GenAI features, with a proven track record of rapid MVP cycles.
• Framework Expertise: Hands-on experience with LangChain, CrewAI, or similar multi-agent/chain frameworks for orchestrating LLMs and computer vision (CV) models.
• Managed AI Services: Deep familiarity with integrating Vertex AI, OpenAI API, Hugging Face Transformers, and diffusion engines into production applications.
• No-code/Low-code Prototyping: Demonstrated ability to quickly create demos using tools such as Zapier, Lovable, Bubble, and Bolt.
• Modern Tech Stacks & API-first: Strong Python skills, along with expertise in REST/GraphQL design and microservices architecture (preferably FastAPI).
• Computer Vision & Natural Language Processing: Experience with production deployments of object detection/segmentation, text classification, embeddings, or chatbot solutions.
• Cloud & Infrastructure as Code: Proficient in deploying applications to AWS, GCP, or Azure, containerizing with Docker, and orchestrating on Kubernetes with Infrastructure as Code (IaC) using Terraform or Helm.
• Observability Basics: Familiarity with service instrumentation for logs and simple dashboards to monitor latency, errors, and usage.
• Builder’s Ethos: Resourceful in problem-solving, comfortable experimenting with new libraries, and able to iterate quickly.

Preferred Skills

• Background in B2B SaaS, sales technology, or CRM workflows.
• Familiarity with React and TypeScript for rapid user interface prototyping.
• Experience with payment systems or e-commerce integrations.

Experience

• A minimum of 2 years of relevant experience, specifically in building and shipping Generative AI applications.

Environment

• The typical work setting is in Bengaluru or Gurugram, with flexibility for remote work arrangements.