Software Engineer; Backend​/AI Systems

Saroe, Inc. is a technology consulting and staff-augmentation firm helping small to mid-size and enterprise organizations build scalable, modern software solutions. We partner closely with our clients to deliver high-impact work across cloud, AI, automation, and application development.

Saroe, Inc. is supporting a client with this hiring initiative. This position will work closely with the client’s engineering team.

We are supporting a client in hiring a skilled Software Engineer to work on modern, cloud-native, and AI-driven applications. The ideal candidate has strong backend engineering fundamentals, experience with distributed systems, and hands-on exposure to Large Language Model (LLM) integrations.

This role involves building scalable APIs, real-time systems, and data pipelines in a collaborative, Agile environment.

• Design, develop, and maintain high-performance backend services using FastAPI and RESTful APIs
• Implement event-driven and Pub/Sub architectures using Redis, Kafka, or AWS SQS
• Design and optimize relational databases (RDS) for performance and scalability
• Build real-time data streaming and analytics pipelines using Apache Spark
• Implement Web Socket-based real-time communication features
• Implement and maintain CI/CD pipelines and cloud deployments using Azure Dev Ops
• Collaborate with cross-functional teams in an Agile/Scrum environment
• Ensure solutions meet scalability, security, reliability, and performance standards

• Bachelor’s degree in Computer Science, Engineering
  , or a related field
• 3–6 years of backend development experience
• Strong hands-on experience with FastAPI and REST APIs
• Experience with message brokers (Redis, Kafka, AWS SQS)
• Solid understanding of relational databases and schema design
• Experience with Apache Spark for data processing or analytics
• Experience building real-time applications using Web Sockets
• Hands-on experience integrating LLM APIs (OpenAI, Claude, Gemini)
• Experience using Azure Dev Ops for CI/CD and deployments
• Experience working in an Agile development environment
• Strong problem-solving and communication skills

• Experience with microservices architecture
• Familiarity with Docker and Kubernetes
• Exposure to cloud platforms (Azure, AWS, or GCP)

• Opportunity to work on AI-enabled and distributed systems
• Exposure to modern backend and cloud architectures
• Collaborative, delivery-focused engineering environment

• Work on real-world, production-grade AI systems
• Opportunity to collaborate with strong engineering teams and modern tech stacks
• Hybrid work model with flexibility
• Saroe acts as a long-term partner
  , not just a placement firm