Applied AI Engineer

What We’re Looking For

• Required 5\-8 years of software engineering experience, including at least 2 years focused on AI/ML application development.
• Hands\-on experience shipping LLM\-powered applications to real users or stakeholders, including RAG pipelines, system\-level prompt engineering, and agentic workflows. Production\-level proficiency in Python and/or TypeScript for rapid prototyping.
• Experience with cloud AI platforms; AWS Bedrock is strongly preferred. SageMaker, Azure AI, or Anthropic Claude are also relevant.
• Working experience with agentic AI frameworks such as LangChain, LangGraph, CrewAI, AWS Strands Agents, Claude Managed Agents, AWS AgentCore, or equivalent.
• Strong API integration skills, including REST, webhooks, MCP, or similar agent\-to\-service patterns.
• Ability to facilitate business discovery sessions and present proof\-of\-concept demos to non\-technical stakeholders.
• Experience pairing with distributed teams to develop production\-grade agentic AI systems.
• Ability to serve as the primary interface between Lead AI Solutions Architects and business stakeholders.
• Strong English communication, executive presence, and disciplined asynchronous documentation.
• Bachelor’s degree in computer science, software engineering, AI/ML, or a related field.
• Agile/Scrum experience. Ability to build RAG pipelines, API integrations, agentic workflow components, and prompt systems.
• Ability to write transition documentation and contribute to the client’s AI and Automation Hub patterns library.
• Strong asynchronous communication, self\-direction, and clean handoff discipline.

Pay: ₹170,000\.00 \- ₹200,000\.00 per month

Benefits

• Paid time off
• Work from home

Experience

• Lead engineer: 8 years (Preferred)
• AI/ML application development: 2 years (Preferred)
• cloud AI platforms: 6 years (Preferred)
• Agile/Scrum: 4 years (Preferred)
• API integration: 5 years (Preferred)

Work Location: In person