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.
With our first office in Bangalore, we are looking to hire a Backend AI Developer that will help us build a revolutionary product that transforms how children learn.
ABOUT THE ROLE
We're hiring a senior backend engineer with deep experience building scalable backend systems and deploying production-grade conversational AI. You will design infrastructure that supports millions of concurrent users while powering intelligent, reliable, low-latency conversational experiences. This is a systems-heavy role with real AI ownership
This role offers unparalleled autonomy and the chance to co-create a category-defining AI device for children in a 01 environment. This is a full time opportunity based in Bengaluru (on-site).
WHAT YOU WILL DO
Scalable Backend Architecture
- Design the system architecture, covering cloud services, databases, and DevOps workflows specifically optimized for AI agent operations and large language model integration
- Design distributed systems handling high concurrency (100k1M+ users)
- Build multithreaded, asynchronous, and event-driven architectures
- Develop resilient APIs with low latency and high availability
- Implement caching, rate limiting, queue systems, and load balancing
Conversational AI Systems (Core Requirement)
- Design and deploy conversational AI systems in production
- Build dialogue management systems (context tracking, memory, state handling)
- Implement conversation orchestration and model routing logic
- Optimize response latency for real-time conversational flows
- Handle fallback strategies, guardrails, and failure modes
- Design scalable session management for millions of conversations
- Work with LLM-based systems (prompt engineering, retrieval augmentation, response evaluation)
- Implement safety layers, moderation, and child-safe conversational constraints (if applicable)
AI & ML Infrastructure
- Build scalable real-time inference pipelines
- Deploy and monitor ML models in containerized environments
- Optimize inference cost, latency, and resource usage
- Implement evaluation frameworks and automated testing for conversational quality
- Handle fallback strategies, retries, and failure modes for AI systems
- Manage GPU/accelerator workloads where required
Observability & Debugging
- Implement structured logging with traceability across distributed services
- Design dashboards for system health and conversation analytics with alerts for fast root cause analysis
- Monitor model drift and conversational performance metrics
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 backend engineering experience, with 2+ years focused on LLMs
- Strong understanding of concurrency & multithreading, distributed systems, high throughput architectures, real time system design
- Hands on experience with conversational AI frameworks, state management
- 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
- 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
- Experience building conversational AI for children or safety-sensitive domains
- Experience optimizing token usage and inference cost
- Experience with voice-based conversational systems
- Experience building AI guardrails and safety layers
Write to [Confidential Information] to apply
