Engineering Lead

13 hours ago

Noida, Uttar Pradesh, India Callerl Full time ₹ 20,00,000 - ₹ 50,00,000 per year

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.digital

Caller.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 Overview

We'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 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
  • 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 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

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