Generative AI (Infra)Backend Engineer 2 to 4 years exp
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Monthly Salary:
Posted on:
19 days ago
Vacancies:
1 Vacancy
Job Summary
Backend Engineer Generative AI (Infra)
Experience Required: 1.5 3 Years
Location: Brookfield Bangalore (In-office)
Employment Type: Full-Time
About the Role
We are seeking a talented Backend Engineer with a focus on AI-driven systems particularly in developing and maintaining scalable infrastructures for Generative AI applications. This role requires a solid background in backend engineering API design and AI model integration with experience in LLMs diffusion models and multimodal AI systems.
As a Backend Engineer you will be responsible for building and managing backend systems that support AI services ranging from model APIs to data retrieval pipelines ensuring they are optimized for performance and security in production environments. Experience with enterprise-level systems particularly in banking or financial services is a significant advantage.
Key Responsibilities
Backend Architecture and amp; Development
Design and develop scalable backend services to support AI and Generative AI workloads.
Build and optimize RESTful and GraphQL APIs for model inference prompt processing and data access.
Create modular backend components for high-performance scalable AI operations.
Generative AI Pipeline Integration
Collaborate with AI engineers to integrate and deploy Generative AI models (LLMs diffusion models text-to-image speech-to-text) in production.
Implement retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone Weaviate FAISS or Milvus.
Optimize AI model serving and inference with frameworks like TensorFlow Serving TorchServe FastAPI or custom endpoints.
API Management and amp; Optimization
Develop secure APIs for AI-driven services ensuring proper version control authentication (OAuth2 JWT) and scalability.
Integrate third-party AI APIs (OpenAI Anthropic Google Gemini Stability AI) into internal systems.
Monitor API usage optimize for latency and ensure high-throughput AI operations.
System and amp; Environment Setup
Set up backend environments using Docker Kubernetes and CI/CD pipelines for automated deployments.
Manage scalable cloud environments (AWS Azure GCP) with load balancing and fault tolerance.
Support development environments and backend utilities for cross-functional AI teams.
Performance and amp; Security
Optimize server performance for AI workloads through caching queuing and load balancing techniques.
Ensure compliance with data privacy and security regulations especially in financial domains.
Implement observability tools like Prometheus Grafana and ELK Stack for performance monitoring.
Collaboration
Collaborate with AI/ML engineers data scientists frontend developers and DevOps teams.
Contribute to architecture discussions backend documentation and process improvements.
Participate in agile ceremonies code reviews and design sessions.
Required Technical Skills
Languages: Python (primary) Java
Backend Frameworks: FastAPI Flask Django Spring Boot
AI and amp; Generative Tools:
Familiarity with LLMs (e.g. GPT Claude Gemini LLaMA Mistral)
Experience with diffusion models (e.g. Stable Diffusion Midjourney APIs)
Knowledge of transformer models via Hugging Face or OpenAI APIs
Understanding of prompt engineering and model-serving best practices
Databases: PostgreSQL MongoDB Redis Elasticsearch
Vector Databases: Pinecone Weaviate Milvus FAISS (for RAG systems)
Infrastructure and amp; DevOps: Docker Kubernetes Jenkins GitLab CI/CD AWS Lambda ECS or GCP Cloud Run
Monitoring: Prometheus Grafana ELK Stack New Relic
API Technologies: REST GraphQL gRPC
Preferred Qualifications
Experience with AI product backend systems or enterprise software especially in banking.
Familiarity with AI pipeline orchestration tools (LangChain LlamaIndex Haystack).
Understanding of model lifecycle management vector embeddings and inference scaling.
Familiarity with data encryption tokenization and compliance standards (PCI DSS ISO 27001).
Soft Skills
Strong problem-solving and debugging abilities.
Excellent communication skills for collaborating with cross-functional teams.
High attention to detail and performance optimization.
Curiosity and enthusiasm for emerging AI technologies and backend architecture.
Education
Bachelors or Masters degree in Computer Science IT AI or a related field.
Certifications in AI/ML Cloud Architecture or Backend Development are a plus.
Why Join Us
Work at the forefront of backend engineering and Generative AI innovation.
Build production-ready systems for large-scale intelligent applications.
Collaborate with a team pushing the boundaries of AI applications and infrastructure optimization.
Work Schedule
Working Days: Monday to Saturday (Alternate Saturdays leave)
Timings: 9:00 AM to 6:00 PM
Company Industry
IT Services and IT Consulting
Key Skills
- Anti Money Laundering
- Gas Turbine
- CNC
- Jpa
- Marine Services
- ACCA
