Engineering Lead ( Data Science)

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About Caller.digital

voice AI agents

equity

Role Overview

hands-on Data Science & Engineering Lead

You’ll work directly with the founders to drive the architecture, experimentation, automation, and scaling of our voice AI platform.

Head of Engineering

Key Responsibilities

1. LLM Engineering & Agentic Workflows

• Architect, 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 Development

• Build automation workflows using

  LangChain, 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 Operations

• Run 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 Leadership

• Mentor & 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 a

  Head of Engineering

  role

Required Skills

Must Have

• 4–10 years of total experience
• Deep hands-on experience with

  LLMs

  (OpenAI / Anthropic / HF)
• Strong exposure to

  LangChain/LangGraph

• Experience with

  n8n

  automation
• 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 Have

• Experience with LiveKit or Plivo
• Knowledge of orchestration layers, async systems, Redis
• Exposure to MLOps / model monitoring
• Prior experience in early-stage startups

Who You Are

• Hands-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 into

  Head of Engineering

  with larger equity ownership
• Strong communication & problem-solving skills

Compensation

• Competitive salary

• Meaningful ESOPs (equity)

  at early-stage pricing
• Performance bonuses
• Opportunity to take on a

  larger equity stake

  as you grow into Head of Engineering

Why Join Caller.digital

• Build 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