Gen AI Developer

Infotree Global Solutions•Capon Bridge, WV

About The Position

We are looking for an experienced Senior Software Engineer with hands-on expertise in Java, Spring Boot, Kafka, Kubernetes, Python, and cloud-native technologies. The successful candidate will design, develop, test, and maintain production-ready software, contribute to technical architecture, and translate complex business requirements into well-defined engineering tasks. Experience with large-scale data processing platforms and Generative AI applications is a strong advantage. This is a senior individual-contributor role with technical leadership responsibilities, including solution design, task decomposition, code quality, and engineering best practices. Formal people management experience is not a prerequisite unless required by the hiring organization.

Requirements

7+ years of professional software engineering experience.
Strong hands-on experience with Java and Spring Boot.
Experience developing REST APIs, microservices, and distributed applications.
Practical experience with Apache Kafka and event-driven architectures.
Experience deploying and operating containerized applications using Docker and Kubernetes.
Working knowledge of Python and modern cloud-native technologies.
Strong understanding of software engineering principles, design patterns, clean code, and automated testing.
Experience with CI/CD pipelines, production troubleshooting, and application monitoring.
Ability to break down complex technical requirements into actionable engineering tasks.
Strong problem-solving skills and the ability to take ownership of technical deliverables.

Nice To Haves

3+ years of experience building or maintaining large-scale data pipelines and distributed processing systems.
Experience with Apache Spark, Snowflake, and Databricks.
Understanding of batch processing, streaming, data quality, and pipeline performance optimization.
3+ years of experience or relevant hands-on exposure to Generative AI or machine-learning-based applications.
Experience with LLM-powered applications and integration of LLM APIs.
Familiarity with frameworks such as Google ADK, LangChain, and LangGraph.
Understanding of RAG, embeddings, vector databases, agent workflows, and LLM evaluation.

Responsibilities

Design, develop, test, deploy, and maintain high-quality, scalable, production-ready software.
Build and maintain cloud-native applications and distributed systems using Java, Spring Boot, Kafka, Kubernetes, and Python.
Design and implement reusable libraries, frameworks, and engineering components that support reliable, maintainable, and testable systems.
Break down complex projects into technical tasks, identify dependencies, estimate effort, and support delivery planning.
Contribute to technical design decisions, code reviews, engineering standards, and best practices.
Develop resilient event-driven architectures and distributed applications.
Improve application performance, scalability, security, observability, and operational reliability.
Collaborate with cross-functional teams to deliver high-quality software.
Contribute to data engineering and distributed processing solutions where required.
Support the development and integration of Generative AI and machine learning-based applications.