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).

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 child-safe interactions
• 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
• 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)
• 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
  conversational agents, interactive storytelling tools
  or 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