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