Architect (.NET) — AI Platform

4 days ago


Bengaluru, Karnataka, India Marlabs LLC Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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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