2 Pii Redaction Jobs

ABOUT US While the world races to automate the future, were focused on preparing the generation that will lead it. At ADIIVA, we believe the most powerful time to shape a childs 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 Bachelors 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 Show more Show less

As a hands-on backend expert, you will be responsible for taking our FastAPI-based platform to the next level by building production-grade model-inference services, agentic AI workflows, and seamless integration with third-party LLMs and NLP tooling. Please note that this role is being hired for one of our client companies, and the company name will be disclosed during the interview process. In this role, you will have the opportunity to work on the following key areas: Core Backend Enhancements: - Build APIs - Harden security with OAuth2/JWT, rate-limiting, SecretManager, and observability with structured logging and tracing - Implement CI/CD, test automation, health checks, and SLO dashboards Awesome UI Interfaces: - Develop UI interfaces using React.js/Next.js, Redact/Context, and various CSS frameworks like Tailwind, MUI, Custom-CSS, and Shadcn LLM & Agentic Services: - Design micro/mini-services to host and route to OpenAI, Anthropic, local HF models, embeddings, and RAG pipelines - Implement autonomous/recursive agents that orchestrate multi-step chains including Tools, Memory, and Planning Model-Inference Infrastructure: - Set up GPU/CPU inference servers behind an API gateway - Optimize throughput with batching, streaming, quantization, and caching using technologies like Redis and pgvector NLP & Data Services: - Own the NLP stack focusing on Transformers for classification, extraction, and embedding generation - Build data pipelines that combine aggregated business metrics with model telemetry for analytics You will be working with the following tech stack: - Python, FastAPI, Starlette, Pydantic - Async SQLAlchemy, Postgres, Alembic, pgvector - Docker, Kubernetes, or ECS/Fargate on AWS or GCP - Redis, RabbitMQ, Celery for jobs and caching - Prometheus, Grafana, OpenTelemetry - HuggingFace Transformers, LangChain, Torch, TensorRT - OpenAI, Anthropic, Azure OpenAI, Cohere APIs - Pytest, GitHub Actions - Terraform or CDK To be successful in this role, you must have: - 3+ years of experience building production Python REST APIs using FastAPI, Flask, or Django-REST - Strong SQL schema design and query optimization skills in Postgres - Deep knowledge of async patterns and concurrency - Hands-on experience with UI applications that integrate with backend APIs - Experience with RAG, LLM/embedding workflows, prompt-engineering, and agent-ops frameworks - Cloud container orchestration experience - Proficiency in CI/CD pipelines and infrastructure-as-code Nice-to-have experience includes familiarity with streaming protocols, NGINX Ingress, RBAC, multi-tenant SaaS security, data privacy, event-sourced data models, and more. This role is crucial as our products are live and evolving rapidly. You will have the opportunity to own systems end-to-end, scale AI services, work closely with the founder, and shape the future of our platform. If you are seeking meaningful ownership and enjoy working on challenging, forward-looking problems, this role is perfect for you.,