Backend Integration Engineer

Job Description

Backend Integration Engineer
Location: Remote
Posted On: 1 day ago
Experience Required: 5+ Years Experience

About Us:
Saguna Consulting partners with organizations to transform bold ideas into scalable, long-lasting solutions through a blend of strategy, technology, and execution. With a human-centered and outcome-driven approach, Saguna collaborates with product-led teams, founders, and enterprises to deliver practical, intuitive, and impactful solutions. From early-stage concepts to production-ready platforms, the company acts as a trusted advisor, builder, and long-term partner.

Overview:
Saguna is seeking a Backend Integration Engineer with expertise in backend development, AI/ML integrations, and LLMOps. The ideal candidate will be responsible for building scalable APIs, integrating AI/LLM services, managing deployment pipelines, and ensuring seamless communication between applications, data platforms, and AI systems.

Key Responsibilities:
Design, develop, and maintain scalable backend services and APIs.
Integrate AI/ML models, LLMs, and third-party platforms into enterprise applications.
Build and manage data pipelines, model-serving infrastructure, and LLMOps workflows.
Develop microservices and event-driven architectures for AI-powered applications.
Implement monitoring, logging, security, and performance optimization for backend systems.
Collaborate with AI/ML, DevOps, and product teams to deliver production-ready solutions.
Manage cloud deployments and CI/CD pipelines for backend and AI services.

Required Qualifications:
Bachelor's degree in Computer Science, Engineering, or a related field.
5+ years of experience in backend development and system integrations.
Strong proficiency in Python, Node.js, Java, or Go.
Experience with FastAPI, Flask, Django, Express.js, or similar backend frameworks.
Hands-on experience integrating AI/ML models, LLM APIs, and vector databases.
Knowledge of LLMOps, model deployment, monitoring, and inference optimization.
Experience with REST APIs, GraphQL, microservices, and event-driven systems.
Familiarity with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, Azure, or GCP).
Experience with databases such as PostgreSQL, MySQL, MongoDB, and Redis. 
Strong problem-solving, debugging, and system design skills.

Preferred Technical Exposure:
AI/ML , LLM
Python , Node.js , Java
FastAPI , Flask , Django , Express.js
RestAPI , GraphQL , Microservices
Docker , Kubernets , CI/CD Pipeline
DB : PostgreSQL , My SQL , MongoDB , Vector


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