
Architect (.NET) — AI Platform
14 hours ago
Hiring: Architect (.NET) — AI Platform
Experience:
10–15+ years (3–5+ years AI/ML platforms)
Location:
Bengaluru/Mysuru/Pune/Kochi
Employment Type:
Full-time
About the Role
We are looking for a hands-on .
NET Architect
to lead the end-to-end design and delivery of an AI-driven platform. This platform powers recommendation engines, NLP search, LLM/SLM integrations, data scraping, and large-scale systems across web, mobile, and messaging channels—with computer vision use cases included.
What You'll Do
- Own the platform architecture on
.NET (C#, ASP.NET Core)
and cloud-native services (Azure/AWS/GCP) - Ship AI search & recommendations with candidate generation, re-ranking, A/B testing, and pipelines
- Integrate large language models (LLMs) & small language models (SLMs) with prompt orchestration and guardrails
- Design NLP search combining lexical, semantic, vector retrieval, and relevance evaluation
- Build and serve computer vision pipelines (OCR, similarity, detection, moderation) at scale
- Guide front-end architecture for AI UX (React, , TypeScript) focusing on performance and telemetry
- Lead mobile AI experiences (.NET MAUI, React Native, Swift/Kotlin), including on-device inference
- Design messaging assistants for WhatsApp, Slack, Teams, SMS with workflows and analytics
- Oversee data scraping, ingestion, and normalization with ethical and compliant practices
- Ensure non-functional excellence: scalability, resiliency, security, latency, compliance, observability
- Mentor engineers, run design reviews and RFCs, and produce reference implementations and playbooks
Must-Have Qualifications
- Deep expertise in
.NET (C#, ASP.NET Core, async I/O, performance, security) - Proven experience architecting AI/ML platforms and deploying production workloads
- Hands-on with recommendation engines, NLP search techniques (BM25, embeddings, vector DBs)
- LLM/SLM integration experience with Azure OpenAI/OpenAI/local models, prompt routing, caching, safety
- Front-end proficiency: React, , design systems, accessibility, state management, performance
- Mobile app experience: .NET MAUI/Xamarin, React Native, Swift/Kotlin, release pipelines, crash analytics
- Messaging infrastructure: event streams (Kafka/Event Hubs), chat/bot platforms (Slack, Teams, WhatsApp)
- Computer vision: model serving, pipelines, OpenCV, deep learning frameworks familiarity
- Strong system design skills for distributed, event-driven systems, caching, partitioning, backpressure
- Cloud-native: Azure/AWS/GCP, containers (Docker/Kubernetes), Infrastructure as Code (Bicep/Terraform), CI/CD
- Observability expertise: OpenTelemetry, tracing, metrics, dashboards, cost/performance optimization
- Excellent communication and cross-functional collaboration skills
Nice to Have
- Vector search (Azure AI Search, Elastic/OpenSearch, Pinecone, Weaviate)
- LLM tooling (Semantic Kernel .NET, LangChain .NET, guardrails, evaluation harnesses)
- MLOps experience (MLflow, SageMaker, Azure ML, streaming/batch pipelines)
- On-device ML (Core ML, NNAPI, ONNX Runtime Mobile) and edge computing (WebAssembly/WebGPU)
- Push notification & messaging infrastructure (FCM/APNs, webhooks, rate limiting)
- Video/image processing at scale with real-time inference pipelines
Tech Stack (Indicative)
- Backend:
.NET 7/8, ASP.NET Core, gRPC/REST, MediatR - Data/Infra:
Kafka/Event Hubs, Redis, Postgres/SQL Server, Kubernetes - Search/Semantic:
Azure AI Search, Elastic/OpenSearch, vector DBs, RAG pipelines - AI/LLMs/CV:
Azure OpenAI, local SLMs, Semantic Kernel, OpenCV, ONNX Runtime, PyTorch/TensorFlow - Frontend:
React, , TypeScript, Tailwind CSS, telemetry, feature flags - Mobile:
.NET MAUI, Xamarin, React Native, Swift/Kotlin, OTA updates - Messaging:
Slack, Teams, WhatsApp, Twilio, webhook/bot frameworks - Observability:
OpenTelemetry, Prometheus, Grafana, App Insights, CloudWatch
If you're passionate about building cutting-edge AI platforms with deep technical expertise and leadership, let's connect
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