AI Engineer (Applied AI & Automation)

WebBee; Dadri; On-site; INR 1,800,000 - 3,600,000; Full time

Job summary

WebBee in Noida, Uttar Pradesh, India, seeks an Applied AI Engineer to build practical AI systems and drive AI initiatives across the company. This hands-on role involves turning ideas into working AI-powered features for our SaaS products and customer use cases.

You will work closely with the founder, shipping production-ready AI capabilities, while evaluating models, prompts, and tools for reliability and cost. This is a full-time role focused on delivering real business outcomes.

Qualifications

• Strong software engineering fundamentals.
• Hands-on Python and backend/API development experience.
• Experience building with LLMs and GenAI tools in real applications.
• Familiarity with prompt engineering, embeddings, vector databases, agents, and evaluation workflows.
• Experience integrating third-party APIs and SaaS systems.
• Comfort working across ambiguity and solving business problems, not just technical tasks.
• Ability to think like both an engineer and a product builder.
• Exposure to orchestration frameworks such as LangChain, LlamaIndex, or similar tools.
• Experience with data pipelines, search, retrieval, and knowledge systems.

Responsibilities

• Build internal AI tools and workflows to improve team productivity.
• Design and implement AI-powered features for our SaaS products.
• Prototype and productionize customer-facing AI use cases.
• Work on LLM-based applications, agents, copilots, and workflow automation.
• Evaluate models, prompts, tools, and architectures for reliability, cost, and performance.
• Integrate AI systems with APIs, databases, CRMs, ERPs, support tools, and internal platforms.
• Collaborate with founder and teams to identify valuable use cases.
• Move quickly from idea to proof of concept to production.
• Help define good engineering practices for AI development, testing, monitoring, and iteration.

Skills

Software engineering fundamentals

Python & backend/API development

LLMs / GenAI in real apps

Prompt engineering, embeddings, vector

Third-party API & SaaS integration

Cloud platforms & deployment workflows

LangChain/LlamaIndex exposure

Data pipelines / knowledge systems

Product-minded & ownership

Tools

LangChain

LlamaIndex

Vector databases

Job description

Job Summary

We are looking for an Applied AI Engineer to work closely with the founder on a range of high-impact AI initiatives across the company. This is a hands-on builder role for someone who enjoys turning ideas into working systems. You will help us use AI to improve internal processes, productivity, and decision-making, while also building AI-powered capabilities for our products and for customer use cases. This is not a research-only role. We are looking for someone practical, curious, fast-moving, and product-minded-someone who can experiment quickly, validate what works, and help us ship real outcomes. This is a full-time position.

Responsibilities

• Build internal AI tools and workflows to improve team productivity and business operations
• Design and implement AI-powered features for our SaaS products
• Prototype and productionize customer-facing AI use cases
• Work on LLM-based applications, agents, assistants, copilots, and workflow automation
• Evaluate models, prompts, tools, and architectures for reliability, cost, and performance
• Integrate AI systems with APIs, databases, CRMs, ERPs, support tools, and internal platforms
• Collaborate directly with the founder, product, engineering, and business teams to identify valuable use cases
• Move quickly from idea to proof of concept to production
• Help define good engineering practices for AI development, testing, monitoring, and iteration

Requirements

• Strong software engineering fundamentals
• Good hands-on experience with Python and backend/API development
• Experience building with LLMs and GenAI tools in real applications
• Familiarity with prompt engineering, RAG, embeddings, vector databases, agents, and evaluation workflows
• Experience integrating third-party APIs and SaaS systems
• Comfort working across ambiguity and solving business problems, not just technical tasks
• Ability to think like both an engineer and a product builder
• Strong communication skills and ownership mindset
• Experience with cloud platforms and deployment workflows
• Exposure to orchestration/frameworks such as LangChain, LlamaIndex, or similar tools
• Experience with data pipelines, search, retrieval, and knowledge systems
• Experience building internal automation tools or customer-facing AI products
• Familiarity with basic MLOps / observability / evaluation practices
• Experience in SaaS, eCommerce, ERP, integration, or workflow-heavy products

What success looks like in this role

• You identify meaningful AI opportunities, not just flashy demos
• You ship working solutions that save time, improve quality, or create product value
• You can balance experimentation with execution
• You are comfortable building from scratch and improving systems over time
• You help us make AI useful in day-to-day operations and customer outcomes

Location

Noida, Uttar Pradesh, India

Job Type

Full time

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.