Applied AI Engineer
PranaTree
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This role on the market
1,155 open applied roles across 161 companies are on ApplySarthi right now, most of them in Bengaluru (98), Hyderabad (17), Delhi NCR (6).
- Applied AI Specialist-Cloud FullStackIBM
- Lead Applied AI Engineerloveholidays
- Senior Applied Scientist, Amazon Business - External IntegrationsAmazon · hyderabad
- Sr. Applied Scientist, AWS Specialists and Partner PrototypingAmazon Web Services
- Applied Scientist, Neuron ARGAnnapurna Labs
What applied roles keep asking for: Python (69%), Machine learning (52%), LLMs (40%), Java (35%), C++ (33%), AWS (26%), Deep learning (25%), Generative AI (21%) — counted across their open postings here.
Remote Applied AI Engineer jobs · AWS jobs · Azure jobs · LLMs jobs · LangChain jobs
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for applied roles keep coming back to Python, Machine learning, LLMs, Java. Practise those questions before you sit with PranaTree.
Questions you are likely to be asked
- Why do you want to join PranaTree?
- What is your experience with AWS? Tell me one thing you learned the hard way.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
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Practise the Applied AI Engineer at PranaTree interview free →**Required** l 5-8 years of software engineering experience, including at least 2 years focused on AI/ML application development. l Hands-on experience shipping LLM-powered applications to real users or stakeholders, including RAG pipelines, system-level prompt engineering, and agentic workflows. l Production-level proficiency in Python and/or TypeScript for rapid prototyping. APPLIED AI ENGINEER 2 l Experience with cloud AI platforms; AWS Bedrock is strongly preferred. SageMaker, Azure AI, or Anthropic Claude are also relevant. l Working experience with agentic AI frameworks such as LangChain, LangGraph, CrewAI, AWS Strands Agents, Claude Managed Agents, AWS AgentCore, or equivalent. l Strong API integration skills, including REST, webhooks, MCP, or similar agent-to-service patterns. l Ability to facilitate business discovery sessions and present proof-of-concept demos to non-technical stakeholders. l Experience pairing with distributed teams to develop production-grade agentic AI systems. l Ability to serve as the primary interface between Lead AI Solutions Architects and business stakeholders. l Strong English communication, executive presence, and disciplined asynchronous documentation. l Bachelor’s degree in computer science, software engineering, AI/ML, or a related field. l Agile/Scrum experience. l Ability to build RAG pipelines, API integrations, agentic workflow components, and prompt systems. l Ability to write transition documentation and contribute to the client’s AI and Automation Hub patterns library. l Strong asynchronous communication, self-direction, and clean handoff discipline.
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Listed on wellfound · posted 2026-10-29. ApplySarthi collects openings and links to application pages; the role is advertised by PranaTree, not by us.