Engineering Lead

5 days ago

uttar pradesh, India Caller.Digital Full time

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 WorkflowsArchitect, build, and optimise LLM pipelines (OpenAI, Anthropic, Llama)Develop advanced memory systems, retrieval flows, and structured output agentsWork with real-time STT → LLM → TTS loops (LiveKit, Cartesia, Soniox, Deepgram)Improve latency, accuracy, and cost efficiency2. Automation & Backend DevelopmentBuild automation workflows using LangChain, LangGraph, n8nDesign and maintain backend APIs/services in Python or Node.jsManage vector databases (FAISS, Pinecone, Qdrant)Build data pipelines for finetuning, evaluation, and analytics3. Data Science & Model OperationsRun experiments for STT benchmarking, prompt tuning, call quality scoringAnalyse call logs at scale to improve agent performanceBuild monitoring dashboards and automated evaluation pipelines4. Technical LeadershipMentor & guide junior engineersDrive AI architecture decisions end-to-endCollaborate with product, infra, and customer teams for rapid iterationLead the AI engineering pod and grow into a Head of Engineering roleRequired SkillsMust Have4–10 years of total experienceDeep hands-on experience with LLMs (OpenAI / Anthropic / HF)Strong exposure to LangChain/LangGraphExperience with n8n automationStrong Python or Node.js engineering fundamentalsSolid understanding of prompts, structured generation, and RAGExperience with vector DBs and API-driven architecturesFamiliarity with real-time conversational AI or event-driven systemsGood to HaveExperience with LiveKit or PlivoKnowledge of orchestration layers, async systems, RedisExposure to MLOps / model monitoringPrior experience in early-stage startupsWho You AreHands-on builder with a strong execution mindsetLoves experimenting with LLMs, agents, and automation frameworksComfortable making architectural decisionsThrives in high-speed, zero-bureaucracy environmentsAmbitious to grow into Head of Engineering with larger equity ownershipStrong communication & problem-solving skillsCompensationCompetitive salaryMeaningful ESOPs (equity) at early-stage pricingPerformance bonusesOpportunity to take on a larger equity stake as you grow into Head of EngineeringWhy Join Caller.digitalBuild the future of enterprise voice AIDirect founder access for rapid executionWork on cutting-edge real-time AI (LLM + STT + TTS)Culture of ownership, experimentation, and speedEquity upside as Caller.digital scales internationally

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