Backend + AI Integration

Maieuticsemi; Bengaluru; On-site; INR 1,200,000 - 1,600,000; Full time

Job summary

A cutting-edge engineering company in Bengaluru is seeking a seasoned Backend Engineer to lead the integration of AI services within backend systems for an AI-driven EDA platform. Ideal candidates will have strong backend experience with Node.js, proficient in API design, and familiar with AI/ML model integration. This role includes building scalable microservices and optimizing databases for performance and security in a dynamic tech environment.

Qualifications

• Strong backend programming experience in Node.js, Python, or Java.
• Proficient in building and scaling APIs and integration of AI/ML models.
• Experience with database optimization and cloud platforms.

Responsibilities

• Design and develop backend architectures using Node.js or Python.
• Integrate AI/ML models into production via APIs.
• Build and maintain microservices for AI inference.

Skills

Backend programming in Node.js

RESTful APIs

Integrating AI/ML models

Database design and optimization

Cloud platforms (AWS, GCP, Azure)

Containerization and orchestration (Docker, Kubernetes)

API security protocols (OAuth2, JWT, RBAC)

DevOps practices

Education

Bachelor's or Master's degree in Computer Science or related field

Job description

Be part of a cutting-edge company transforming the Analog, RF, and Mixed‑Signal design landscape.

We are looking for a seasoned Backend Engineer to lead the development and integration of AI services within our backend systems for an AI‑driven EDA platform. The role focuses on building scalable APIs, integrating ML models, and ensuring performance, security, and reliability across services.

Required Skills & Qualification

• Strong backend programming experience in Node.js (preferred), Python (FastAPI, Flask, Django), or Java (Spring Boot).
• Proficient in building and scaling RESTful APIs and GraphQL endpoints.
• Experience deploying and integrating AI/ML models into backend systems.
• Proficient in database design and optimization: PostgreSQL, MongoDB, Redis, Neo4j.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Working knowledge of containerization and orchestration: Docker, Kubernetes.
• Strong understanding of API security protocols: OAuth2, JWT, RBAC.
• Familiarity with DevOps and CI/CD practices.
• Bachelor's or master's degree in computer science, Engineering, or a related field.

Preferred Qualifications

• Experience with EDA tools or AI‑driven design automation platforms.
• Background in real‑time interface systems or stream processing.
• Prior work with custom AI pipelines or AI workflow orchestration.

Job Overview

• Design and develop robust backend architectures using Node.js (preferred) or Python (FastAPI, Flask, Django).
• Integrate AI/ML models into production via REST/GraphQL APIs, TensorFlow Serving, ONNX, or containerized pipelines.
• Build and maintain microservices for real‑time and batch AI inference.>
• Ensure secure API design, handling OAuth2, JWT, RBAC, and other authentication and authorization mechanisms.
• Optimize database performance for high‑throughput systems using PostgreSQL, MongoDB, Neo4j (GraphDB), Redis, or Firebase.
• Collaborate with AI/ML engineers to understand model requirements and deliver low‑latency integration pipelines.
• Implement best practices for scalability, fault tolerance, and system observability.
• Work with DevOps teams to automate deployment via CI/CD pipelines (Jenkins, GitHub Actions) and manage infrastructure using Docker, Kubernetes, and Terraform.