Engineering Lead ( Data Science)

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 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