Engineering Lead ( Data Science)

November 20, 2025

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, AutomationAbout Caller.digitalCaller.digital builds next-gen voice AI agents for 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 receive equity aligned with long-term contribution.Role OverviewWe’re looking for a hands-on Data Science & Engineering Lead with 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 become Head of Engineering along with higher ESOP allocation.Key Responsibilities1. LLM Engineering & Agentic Workflows<ul><li>Architect, build, and optimise LLM pipelines (OpenAI, Anthropic, Llama)</li><li>Develop advanced memory systems, retrieval flows, and structured output agents</li><li>Work with real-time STT → LLM → TTS loops (LiveKit, Cartesia, Soniox, Deepgram)</li><li>Improve latency, accuracy, and cost efficiency</li></ul>2. Automation & Backend Development<ul><li>Build automation workflows using LangChain, LangGraph, n8n</li><li>Design and maintain backend APIs/services in Python or Node.js</li><li>Manage vector databases (FAISS, Pinecone, Qdrant)</li><li>Build data pipelines for finetuning, evaluation, and analytics</li></ul>3. Data Science & Model Operations<ul><li>Run experiments for STT benchmarking, prompt tuning, call quality scoring</li><li>Analyse call logs at scale to improve agent performance</li><li>Build monitoring dashboards and automated evaluation pipelines</li></ul>4. Technical Leadership<ul><li>Mentor & guide junior engineers</li><li>Drive AI architecture decisions end-to-end</li><li>Collaborate with product, infra, and customer teams for rapid iteration</li><li>Lead the AI engineering pod and grow into a Head of Engineering role</li></ul>Required SkillsMust Have<ul><li>4–10 years of total experience</li><li>Deep hands-on experience with LLMs (OpenAI / Anthropic / HF)</li><li>Strong exposure to LangChain/LangGraph</li><li>Experience with n8n automation</li><li>Strong Python or Node.js engineering fundamentals</li><li>Solid understanding of prompts, structured generation, and RAG</li><li>Experience with vector DBs and API-driven architectures</li><li>Familiarity with real-time conversational AI or event-driven systems</li></ul>Good to Have<ul><li>Experience with LiveKit or Plivo</li><li>Knowledge of orchestration layers, async systems, Redis</li><li>Exposure to MLOps / model monitoring</li><li>Prior experience in early-stage startups</li></ul>Who You Are<ul><li>Hands-on builder with a strong execution mindset</li><li>Loves experimenting with LLMs, agents, and automation frameworks</li><li>Comfortable making architectural decisions</li><li>Thrives in high-speed, zero-bureaucracy environments</li><li>Ambitious to grow into Head of Engineering with larger equity ownership</li><li>Strong communication & problem-solving skills</li></ul>Compensation<ul><li>Competitive salary</li><li>Meaningful ESOPs (equity) at early-stage pricing</li><li>Performance bonuses</li><li>Opportunity to take on a larger equity stake as you grow into Head of Engineering</li></ul>Why Join Caller.digital<ul><li>Build the future of enterprise voice AI</li><li>Direct founder access for rapid execution</li><li>Work on cutting-edge real-time AI (LLM + STT + TTS)</li><li>Culture of ownership, experimentation, and speed</li><li>Equity upside as Caller.digital scales internationally</li></ul>

Back to blog

DISCLAIMER