
Real job — pulled straight from WisdomLabs’s careers page · Verified November 14, 2026 · No reposts.
Job description
WisdomLabs is hiring a Applied AI Engineer — a full-time, based in Bangalore, Karnataka, India role. Apply directly on WisdomLabs's careers page below.
Applied AI Engineer
Location: Bangalore, Karnataka, India
Work Location: onsite
- Intelligent Agents & Conversations: Build AI agents that interact naturally on behalf of people, from conversational onboarding and twin conversations to group chats, tool use, and third-party integrations.
- Real-Time & Multimodal Experiences: Bring digital twins to life through low-latency voice agents, interactive avatars, generative UI, and immersive conversational experiences.
- Memory, Search & Personalization: Build the systems that make twins more knowledgeable and personalized, including knowledge ingestion, retrieval, long-term memory, personalized feeds, and intelligent recommendations.
- Production AI Systems: Turn promising AI research into reliable, scalable products through evaluation pipelines, observability, model optimization, and improvements to latency, cost, and quality.
- Production software engineering: Strong experience building, testing, deploying, and operating backend systems, APIs, and data pipelines. Able to turn experimental code into maintainable, observable production services.
- AI product ownership: Has independently shipped at least one meaningful AI-powered feature or product, and can own implementation, UX tradeoffs, launch, and iteration with limited oversight.
- Practical agentic AI: Hands-on fluency with LLM APIs and modern agent patterns, including context engineering, tool use, retrieval, memory, and structured outputs. Understands model capabilities and where simpler approaches are better.
- Technical judgment & AI-native workflow: Keeps up with modern applied AI, chooses pragmatic approaches, and uses agentic coding tools effectively. Combines strong engineering fundamentals with product taste and a bias to ship.
- Evaluation & optimization: Experience testing AI behavior, creating useful eval datasets or graders, tracing failures, and making evidence-based tradeoffs among quality, latency, cost, and reliability.
- Real-time & multimodal AI: Experience building voice agents, speech systems, interactive avatars, or low-latency multimodal applications.
- Personalization & memory: Experience with long-term, pairwise, or multi-agent memory, user modeling, knowledge extraction, or systems that learn from interactions.
- Search & recommendations: Experience with vector/semantic search, retrieval and reranking, feed ranking, or recommendation systems.
- Startup & consumer product experience: Experience at an early-stage AI startup, building consumer products from scratch, or owning high-velocity 0-to-1 and 1-to-10 launches.
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Frequently asked questions
What skills are required for Applied AI Engineer at WisdomLabs?
The required skills for Applied AI Engineer at WisdomLabs include: Python, API, Machine Learning, Deep Learning, AI.
What is the seniority level for Applied AI Engineer at WisdomLabs?
Applied AI Engineer at WisdomLabs is a Mid Level level position.
How do I apply for Applied AI Engineer at WisdomLabs?
You can view the full description and apply for Applied AI Engineer at WisdomLabs on EchoJobs: https://echojobs.io/job/wisdomlabs-applied-ai-engineer-pvvxq.