Job Description

Cloud & AI Backend Engineer (GenAI / LLMOps)


Own Cloud | Build and Scale AI Systems

Location: Onsite / Hybrid (India)


About Us

BidWiser a next-gen, AI-powered SaaS platform that is revolutionizing how engineering companies handle tenders and proposals. Our team is passionate about blending cloud-native architecture, Generative AI, and LLMOps into scalable, production-ready tools. We operate in a large, under-digitized multi-billion-

dollar market with strong early traction.

Role Overview


We are hiring a Cloud & AI Backend Engineer (GenAI / LLMOps) to own Bidwiser’s cloud infrastructure and AI backend end-to-end . This is a hands-on, ownership-driven role not limited to DevOps or ML research. You will manage AWS and Azure deployments, optimize cost and performance, build and scale LLM-powered systems, and collaborate closely with founders and product teams as we grow.


What You’ll Own


  • End-to-end ownership of AWS and Azure infrastructure
  • AWS: ECS, EC2, Lambda, S3, CloudWatch, IAM, VPC
  • Azure equivalents where applicable
  • Manage and improve CI/CD pipelines (GitHub Actions, infra automation)
  • Monitor, optimize, and control cloud costs proactively
  • Own production deployments, uptime, reliability, and incident resolution
  • Build, deploy, and scale AI backend services used by real customers
  • Develop and maintain LLM-powered features across the product
  • Design and optimize RAG pipelines , embeddings, vector search, and inference layers
  • Fine-tune models (LoRA / adapters / prompt tuning where applicable)
  • Collaborate closely with frontend, product, and founders
  • Support rapid experimentation and production rollout of AI features


What We’re Looking For


  • 2–3 years of relevant work experience in Cloud and AI Systems.
  • Strong hands-on experience with AWS cloud services
  • Working knowledge of Azure or strong willingness to own it
  • Experience managing production SaaS infrastructure
  • Proven experience deploying LLMs or ML models in production
  • Strong backend engineering skills (Python preferred )
  • Experience with FastAPI / Flask or similar frameworks
  • Understanding of LLMOps / MLOps / AI system design
  • Experience with vector databases and AI pipelines
  • Ability to debug production issues and own outcomes end-to-end
  • Startup Mindset & Ownership: Thrives in a fast-paced startup environment, comfortable wearing multiple hats, takes full ownership of outcomes, is willing to stretch beyond fixed hours when needed, enjoys hands-on problem solving, and is genuinely interested in growing long-term with the company while building core systems from the ground up.


What We Offer


  • Opportunity to own the entire cloud and AI backend stack
  • Work on real-world GenAI systems used by enterprise customers
  • Direct collaboration with founders and leadership
  • Steep learning curve across cloud, AI, and distributed systems
  • ESOPs for long-term contributors
  • Learn from the best in the industry


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