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Founding AI Engineering lead

Job in Bengaluru, 560001, Bangalore, Karnataka, India
Listing for: ADIIVA
Full Time position
Listed on 2026-03-04
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Location: Bengaluru

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 Dev Ops 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, Tensor Flow, Weights & Biases
Familiarity with LLM orchestration frameworks (  Lang Graph, Lang Chain, 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
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