- Design, develop, test, and maintain scalable backend and frontend
- components for enterprise-grade SaaS applications.
- Translate product and business requirements into explicit technical designs and implementation plans.
- Contribute to system and API design, ensuring maintainability, performance, and scalability.
- Write high-quality, we'll-documented, and testable code following best practices.
- Participate in peer code reviews and provide constructive feedback.
- Collaborate effectively with cross-functional and multi-region teams to
- deliver features within agreed timelines.
- Support and improve existing systems through refactoring, optimization, and bug fixes.
- Follow Agile development practices and contribute to continuous
- improvement of engineering processes.

Requirements

- 3-6 years of professional software development experience.
- Strong programming skills in Java, Python, Go, or Rust.
- Solid experience building backend systems using modern frameworks and libraries.
- Hands-on experience with API frameworks and protocols such as REST, WebSockets, gRPC, and familiarity with MCP.
- Practical experience with relational or document databases such as Postgres or MongoDB.
- Strong understanding of microservices-based architectures and distributed systems fundamentals.




- Solid foundation in data structures, algorithms, and system design.
- Experience building or integrating LLM-based features, including RAG (Retrieval-Augmented Generation) and vector search.
- Familiarity with agent frameworks such as LangChain, LangGraph
- Experience working with distributed or multi-region teams.
- Strong analytical and problem-solving skills, with attention to detail and code quality.

Good to Have

- Experience with messaging and data infrastructure such as Kafka, Redis, and ClickHouse.
- Hands-on experience working in Linux environments.
- Experience with both relational and NoSQL databases.
- Exposure to multiple data paradigms: SQL, NoSQL, time-series, or graph databases.
- Experience deploying and operating AI/ML or LLM-powe'red services (MLOps / LLMOps).
- Familiarity with observability for AI systems, including logging, tracing, monitoring, and evaluation.
- Exposure to LLM fine-tuning techniques such as LoRA, QLoRA, or instruction tuning

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Software Engineer (Java/Go with AI) (Karnataka)
🏢 Uniphore Software Systems
📍 Karnataka