Genrative AI Developer Backend

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About the Role

Generative AI Backend Developer

Key Responsibilities

Backend Architecture & API Development

• Build scalable microservices for AI/GenAI workloads
  
• Develop REST / GraphQL / gRPC APIs for inference & data retrieval
  
• Implement high-performance backend components & modular services
  

Generative AI & RAG Pipeline Integration

• Integrate LLMs, diffusion models & multimodal AI (text, image, speech)
  
• Build RAG pipelines with

  Pinecone / Weaviate / Milvus / FAISS

• Optimize model serving using

  FastAPI, TorchServe, TensorFlow Serving

API Security, Scaling & Optimization

• Implement

  JWT/OAuth2 authentication, versioning, throttling

• Integrate external AI APIs like

  OpenAI, Gemini, Anthropic, Stability AI

• Reduce inference latency and optimize concurrency & performance
  

Infrastructure & Deployment

• Deploy with

  Docker, Kubernetes, GitLab/Jenkins CI/CD

• Manage AWS / GCP / Azure cloud scaling, load balancing
  
• Implement monitoring with

  Prometheus, Grafana, ELK

Performance, Security & Compliance

• Apply caching, batching & async processing for speed
  
• Enforce data privacy, encryption &

  financial/compliance standards

• Maintain observability & failure recovery readiness
  

Required Technical Skills

Languages

Preferred Qualifications

• Experience with

  banking/enterprise-grade backend systems

• Exposure to

  LangChain, LlamaIndex, Haystack

• Knowledge of

  tokenization, encryption, ISO/PCI compliance

• Experience with AI pipeline scaling & model lifecycle mgmt
  

Soft Skills

• Strong problem-solving & debugging mindset
  
• Excellent communication & teamwork
  
• High attention to performance, scalability, and accuracy
  
• Passion for AI innovation & emerging tech
  

Why Join Us

• Work at the

  intersection of AI + scalable infrastructure

• Build

  production-grade intelligent systems

  used at enterprise scale
• Opportunity to

  innovate & lead in next-gen AI engineering