Backend Engineer

About Us

For over 9+ years, Entiovi Technologies has helped clients across the US and Europe drive digital transformation through next-generation intelligent technologies. Our dedicated teams work on cutting-edge AI-powered products and platforms, and we’re expanding our engineering footprint in India.

About the Role

We’re looking for a Backend Engineer to design and ship the services that power our AI products. You’ll work closely with cross-functional teams across geographies to build scalable, reliable backends -everything from API design to data modeling to cloud deployment. If you enjoy solving real customer problems and want exposure to applied AI engineering, this role is for you.

What You’ll Do

• Design, build, and maintain backend services and APIs in Node.js / TypeScript
• Model and query data across both PostgreSQL (relational) and DynamoDB (NoSQL), choosing the right tool for each use case
• Deploy and operate services on AWS (Lambda, ECS, API Gateway, S3, etc.)
• Integrate with internal services and third-party APIs, including AI / LLM-based components
• Write clean, well-tested code and participate in code reviews
• Collaborate with frontend, ML, and product teams to ship features end-to-end
• Debug production issues, optimize performance, and make pragmatic trade-offs that don’t pile up technical debt

Must-Haves

• 4+ years of professional software development experience
• Strong fundamentals in computer science (data structures, algorithms, system design)
• Solid hands-on experience with Node.js and TypeScript
• Production experience with at least one Node.js framework (Express, or NestJS)
• Experience designing and integrating REST APIs (familiarity with GraphQL or gRPC is a plus)
• Working knowledge of both relational (PostgreSQL) and NoSQL (DynamoDB or similar) databases, including schema design and query optimization
• Experience deploying and running services on AWS
• Familiarity with ORMs (Prisma, TypeORM, Sequelize) and routing libraries
• Comfortable working in fast-paced, pragmatic environments and collaborating with distributed teams

Nice-to-Haves

• Experience working on AI / ML / LLM-based products- prompt engineering, RAG pipelines, vector databases, model integration, or agent frameworks
• AWS certifications, or deeper experience with services like Bedrock, SageMaker, Step Functions, or EventBridge
• Experience with serverless architectures
• Experience with Google Cloud (especially Cloud Functions) or multi-cloud setups
• Exposure to CI/CD, infrastructure-as-code (Terraform, CDK), and observability tooling

Employment Type

Full-time

Job Types: Full-time, Permanent

Benefits

* Flexible schedule

Application Question(s)

• What is your current annual CTC in INR?
• Are you an immediate joiner?

Education

* Bachelor's (Preferred)

Experience

• Node.js: 4 years (Required)
• AWS Services: 4 years (Required)
• AI models: 2 years (Required)
• AWS: 1 year (Required)

Work Location: Remote