Senior Softwae Engineer (Java/Go with AI)

As a Senior Software Engineer at Uniphore, you will design, develop, and maintain high-quality, scalable software systems within Product Engineering. This full-stack role involves collaborating with product managers and designers to translate requirements into robust technical solutions. You will contribute to technical design, write clean and maintainable code, perform peer reviews, and deliver features with a focus on quality, performance, and reliability. The role requires staying current with modern technologies and applying them to solve real-world problems.

Must Have

• Design, develop, test, and maintain scalable backend and frontend components for enterprise-grade SaaS applications.
• Translate product and business requirements into clear technical designs and implementation plans.
• Contribute to system and API design, ensuring maintainability, performance, and scalability.
• Write high-quality, well-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.
• 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-powered 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.

Uniphore is one of the largest B2B AI-native companies—decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments.

Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data.

As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees.

Job Description:

Job Description

As a Senior Software Engineer within Product Engineering, you will design,

develop, and maintain high-quality, scalable software systems as part of a

distributed, multi-location team. You will work as a hands-on full-stack

engineer, collaborating closely with product managers, designers, and fellow

engineers to translate requirements into robust technical solutions.

You are expected to contribute to technical design discussions, write clean and

maintainable code, review peer contributions, and deliver features on time

with a strong focus on quality, performance, and reliability. You should stay

current with modern technologies, frameworks, and design principles, and

apply them pragmatically to solve real-world problems.

Responsibilities

• Design, develop, test, and maintain scalable backend and frontend components for enterprise-grade SaaS applications.

• Translate product and business requirements into clear technical designs and

implementation plans.

• Contribute to system and API design, ensuring maintainability, performance,

and scalability.

• Write high-quality, well-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-powered 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.