Founding AI Engineering Lead

ABOUT US

While the world races to automate the future, we’re focused on preparing the generation that will lead it.

At ADIIVA, we believe the most powerful time to shape a child’s mind is early on, when curiosity is boundless

and values are just beginning to form. We offer parents a way to nurture critical thinking, resilience and

independence from the very start.

Founded by Kalika Vajpayee, committed to rethinking early learning, ADIIVA is a lean, high-impact startup

working at the intersection of two major technological innovations - LLMs and Robotics. With our first office

in Bangalore, we are looking to hire an AI Engineering Lead that will help us build a revolutionary product that

transforms how children learn.

ABOUT THE ROLE

Working closely with the founder, you will define and build the technical foundation of the company from the

ground up, influencing every aspect of architecture, tooling and product direction. This role offers

unparalleled autonomy, significant equity and the chance to co-create a category-defining AI device for

children in a 0→1 environment.

This is a full time opportunity based in Bengaluru (on-site).

Salary is in the range 25 - 35 LPA.

WHAT YOU WILL DO

Design the system architecture , covering cloud services, databases, and DevOps workflows

Design data architectures

specifically optimized for AI agent operations and large language model integration

Fine-tune and optimize large language models (LLMs)

for running on edge devices

Train LLMs on proprietary multimodal datasets, including voice / text transcripts, behavioral cues and developmental content

Evaluate open-source and proprietary models for performance, safety and scale, across

cloud and edge environments

Prototype and iterate on multi-step conversational behaviors, memory and alignment strategies

Implement

trustworthy AI practices , including

hallucination mitigation, toxicity filtering

and age-appropriate guardrails

Design systems with

data security / privacy by design , ensuring compliance with regulations

Build production-grade

ML pipelines

with

MLOps best practices : CI / CD, monitoring, versioning and feedback loops

Collaborate cross-functionally with product, child development experts and design teams

Manage and mentor a team of 2-3 engineers

WHAT WE LOOK FOR

Bachelor’s degree in Computer Science, or an equivalent discipline

Experience building

conversational AI voice agents

Ability to

work independently

in a fast-paced, ambiguous early-stage environment

Growth mindset, strong communication skills and a collaborative spirit

5+ years of experience in

AI / ML / NLP

, with

1+ years focused on LLMs

Proven track record of

fine-tuning, training and optimizing LLMs

Deep understanding of transformer architectures, attention mechanisms and generative models

Strong Python skills

with experience in

PyTorch, Hugging Face, TensorFlow, Weights & Biases

Familiarity with LLM orchestration frameworks (

LangGraph, LangChain, or Haystack )

Experience with

cloud platforms

(AWS, GCP , or Azure) and their AI / ML services

Understanding of

privacy-preserving techniques

(differential privacy, PII redaction)

Exposure to alignment techniques ( RLHF, prompt tuning ) and safety filters

Comfort with MLOps tooling, containerization ( Docker ) and orchestration ( Kubernetes, Airflow)

Knowledge of

RAG and vector databases

(e.g., FAISS, Weaviate)

Familiarity with edge devices and how to optimise software to run on them

Ability to explain complex AI concepts to non-technical stakeholders

Passion for building safe, magical AI experiences for children and families

BONUS POINTS FOR

Experience building child-facing applications

Familiarity with

speech-to-text, voice synthesis , or

multimodal learning

Understanding of

regulatory frameworks

such as COPPA, GDPR, and responsible AI principles

WHY JOIN US

Define the future of

child-safe AI

from day one

Join at ground zero and influence every aspect of the product and technical stack

Collaborate with a small, passionate, and visionary team

Opportunity for

ownership, and long-term impact