About the role
structured by ORIExperience: 1-2 years of experience. Backend Engineer APIs, Microservices & Data Systems Location: Bengaluru, India Work Mode: On-site Experience: 1-2 Years Employment Type: Full-time Job Overview We are looking for a Backend Engineer with strong Python and backend development skills to design, build, and maintain…
What you will do
- Design and develop RESTful and gRPC APIs for AI/NLP system integrations.
- Build scalable microservices using FastAPI, Flask, or Django .
- Implement authentication, authorization, and rate limiting.
- Maintain API versioning, documentation, and backward compatibility.
- Design and manage relational databases such as PostgreSQL and MySQL .
What they are looking for
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field .
- 1-2 years of backend engineering experience .
- Strong programming skills in Python .
Nice to have
- Familiarity with Go or Java is an added advantage.
- Event-driven architecture and message streaming
- Vector search and RAG systems
- Real-time APIs using WebSockets or SSE
- FAISS / Milvus / Weaviate
- Airflow / Prefect
- GraphQL
- Elasticsearch
Full posting text
Experience: 1-2 years of experience.
Backend Engineer APIs, Microservices & Data Systems
Location: Bengaluru, India
Work Mode: On-site
Experience: 1-2 Years
Employment Type: Full-time
Job Overview
We are looking for a Backend Engineer with strong Python and backend development skills to design, build, and maintain robust APIs, microservices, and data systems supporting AI and NLP applications.
The role involves backend engineering with a strong focus on performance, scalability, reliability, and integration with ML model inference pipelines .
Key Responsibilities
API & Microservices Development
Design and develop RESTful and gRPC APIs for AI/NLP system integrations.
Build scalable microservices using FastAPI, Flask, or Django .
Implement authentication, authorization, and rate limiting.
Maintain API versioning, documentation, and backward compatibility.
Data Engineering & Storage
Design and manage relational databases such as PostgreSQL and MySQL .
Work with NoSQL technologies including MongoDB and Redis .
Build data ingestion, transformation, and processing pipelines.
Work with vector databases such as FAISS, Milvus, and Weaviate for AI-powered search.
Optimize database queries and indexing for improved performance.
ML System Integration
Integrate ML model inference endpoints into backend services.
Build APIs that integrate with NLP, STT, TTS, and translation models .
Implement asynchronous processing using Celery, RabbitMQ, or Kafka .
Support streaming responses for real-time inference systems.
Performance & Scalability
Profile and optimize API latency and throughput .
Implement caching strategies using Redis or Memcached .
Design systems for horizontal scalability and fault tolerance.
Perform load testing and capacity planning.
Deployment & DevOps Collaboration
Containerize applications using Docker and deploy using Kubernetes .
Work with CI/CD pipelines such as GitHub Actions and Jenkins .
Support on-premise and edge deployment requirements.
Develop unit, integration, and end-to-end tests.
Research & Innovation
Explore new API design patterns and model-serving frameworks.
Prototype and evaluate vector databases and ML inference integrations.
Contribute to internal backend libraries and shared engineering tools.
Collaboration
Work closely with ML Engineers, Data Scientists, and Research Teams .
Collaborate with linguistic and annotation teams.
Document systems, implementations, and technical experiments.
Required Qualifications
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field .
1-2 years of backend engineering experience .
Strong programming skills in Python .
Familiarity with Go or Java is an added advantage.
Must-Have Skills
Backend & Architecture
REST and gRPC API design
Microservices architecture
Software design patterns
Clean architecture
Asynchronous processing and task queues
Frameworks & Technologies
FastAPI / Flask / Django
PostgreSQL / Redis / MongoDB
Celery / RabbitMQ / Kafka
Docker / Kubernetes
Git / Linux
Systems & Deployment
Containerization and CI/CD
On-premise and offline deployment environments
API security
OAuth2 / JWT / API Keys
Good-to-Have Skills
Event-driven architecture and message streaming
Vector search and RAG systems
Real-time APIs using WebSockets or SSE
FAISS / Milvus / Weaviate
Airflow / Prefect
GraphQL
Elasticsearch
What We're Looking For
Strong software engineering fundamentals and system design skills.
Hands-on experience building reliable and scalable backend systems.
Ability to work in a research-driven and collaborative environment.
Strong focus on performance, reliability, and clean engineering practices.
Good communication and technical documentation skills.
What You Will Work On
Backend systems powering multilingual AI applications .
API and microservices development for AI/NLP systems.
ML model and inference pipeline integrations.
Vector search and RAG-related backend systems.
Scalable and secure deployment across on-premise, offline, and edge environments .
Key skills: Postgresql, Fast API, Microservices, Docker, Python, Vector DB, Github, Kafka, Redis, Ci/Cd, SQL, Rabbitmq, Jenkins, NoSQL, Celery, Linux, Django, Mango DB, Rest API Services, API, Grpc, Retrieval Augmented Generation, Flask, Kubernetes.
Role: Back End Developer
Industry Type: IT Services & Consulting
Department: Engineering - Software & QA
Employment Type: Full Time, Permanent
Role Category: Software Development
Education: UG: B.Tech / B.E. in Computer Science and Engineering (CSE), Information Technology, Artificial Intelligence And Data Science, Electronics And Computer Engineering, Artificial Intelligence And Machine Learning
Education: PG: M.Tech in Artificial Intelligence and Machine Learning, Computers, MCA in Any Specialization