Engineering Lead
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Job Description – Data Science & Engineering Lead (LLM)Company:Caller.digital Role:Full-Time | Noida / Remote Experience:4–10 years(Hands-on, dynamic, strong LLM & automation background) Compensation:Competitive Salary +Meaningful Equity (ESOPs) Domain:Voice AI, LLM Engineering, Automation About Caller.digitalCaller.digital builds next-genvoice AI agentsfor enterprises using real-time STT, LLMs, and cognitive orchestration. We’re scaling rapidly across India and global markets with a product-first engineering culture. This is a foundational role — you’ll own core AI systems and receiveequityaligned with long-term contribution. Role OverviewWe’re looking for ahands-on Data Science & Engineering Leadwith strong experience in LLMs, automation frameworks, and AI-driven backend engineering. You’ll work directly with the founders to drive the architecture, experimentation, automation, and scaling of our voice AI platform. A fast-track pathway exists to becomeHead of Engineeringalong with higherESOP allocation . Key Responsibilities1. LLM Engineering & Agentic WorkflowsArchitect, build, and optimise LLM pipelines (OpenAI, Anthropic, Llama) Develop advanced memory systems, retrieval flows, and structured output agents Work with real-time STT → LLM → TTS loops (LiveKit, Cartesia, Soniox, Deepgram) Improve latency, accuracy, and cost efficiency 2. Automation & Backend DevelopmentBuild automation workflows usingLangChain, LangGraph, n8n Design and maintain backend APIs/services in Python or Node.js Manage vector databases (FAISS, Pinecone, Qdrant) Build data pipelines for finetuning, evaluation, and analytics 3. Data Science & Model OperationsRun experiments for STT benchmarking, prompt tuning, call quality scoring Analyse call logs at scale to improve agent performance Build monitoring dashboards and automated evaluation pipelines 4. Technical LeadershipMentor & guide junior engineers Drive AI architecture decisions end-to-end Collaborate with product, infra, and customer teams for rapid iteration Lead the AI engineering pod and grow into aHead of Engineeringrole Required SkillsMust Have4–10 years of total experience Deep hands-on experience withLLMs(OpenAI / Anthropic / HF) Strong exposure toLangChain/LangGraph Experience withn8nautomation Strong Python or Node.js engineering fundamentals Solid understanding of prompts, structured generation, and RAG Experience with vector DBs and API-driven architectures Familiarity with real-time conversational AI or event-driven systems Good to HaveExperience with LiveKit or Plivo Knowledge of orchestration layers, async systems, Redis Exposure to MLOps / model monitoring Prior experience in early-stage startups Who You AreHands-on builder with a strong execution mindset Loves experimenting with LLMs, agents, and automation frameworks Comfortable making architectural decisions Thrives in high-speed, zero-bureaucracy environments Ambitious to grow intoHead of Engineeringwith larger equity ownership Strong communication & problem-solving skills CompensationCompetitive salary Meaningful ESOPs (equity)at early-stage pricing Performance bonuses Opportunity to take on alarger equity stakeas you grow into Head of Engineering Why Join Caller.digitalBuild the future of enterprise voice AI Direct founder access for rapid execution Work on cutting-edge real-time AI (LLM + STT + TTS) Culture of ownership, experimentation, and speed Equity upside as Caller.digital scales internationally
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