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About the Role

This role involves applying AI/ML technologies under guidance, designing and developing UI and backend services for AI-driven products, and collaborating with cross-functional teams to deliver end-to-end features. You will also be responsible for writing clean, testable code, troubleshooting production issues, and staying current with emerging trends in AI and software engineering.

Responsibilities

• Apply AI/ML technologies such as machine learning models, LLMs, embeddings, and basic agentic or RAG workflows under guidance from senior engineers.
• Design, develop, and maintain high quality UI and backend services and applications that support AI driven products and platforms.
• Implement and integrate RESTful APIs with a focus on security, scalability, and maintainability.
• Collaborate with cross functional teams (engineering, AI/ML, product, and platform) to deliver end to end features.
• Write clean, testable code and participate in code reviews to maintain high engineering standards.
• Assist in troubleshooting, debugging, and resolving production issues.
• Learn and follow best practices for cloud native development, reliability, and observability.
• Stay current with emerging trends in AI, machine learning, and software engineering.
• Provide post-production support

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• 2+ years of experience in software engineering, User Interface, backend development, JavaScript, Angular
• Proficiency in Python, Java, or Go.
• Translating user experience design into code using Angular, Angular Material, NodeJS, strong fundamental knowledge of Object-oriented JavaScript, SASS, CSS3
• Knowledge of advanced JavaScript and browser optimizations
• Experience with Spring Framework or Spring Boot a plus
• Basic understanding of distributed systems, APIs, and backend service design.
• Experience working with relational (SQL) and/or NoSQL databases.
• Familiarity with software development best practices: version control, testing, and code reviews.
• Exposure to AI/ML concepts, including machine learning pipelines or LLM based systems.
• Familiarity with embeddings, vector databases, or retrieval augmented generation (RAG).
• Experience deploying services in cloud environments (AWS, Azure, or GCP).
• Interest in agentic AI, automation, or developer productivity tooling

Skills

• AI/ML technologies
• Machine learning models
• LLMs
• Embeddings
• Agentic or RAG workflows
• UI development
• Backend services development
• RESTful APIs
• Python
• Java
• Go
• Angular
• Angular Material
• NodeJS
• Object-oriented JavaScript
• SASS
• CSS3
• Advanced JavaScript
• Browser optimizations
• Spring Framework
• Spring Boot
• Distributed systems
• APIs
• Backend service design
• SQL
• NoSQL databases
• Version control
• Testing
• Code reviews
• Machine learning pipelines
• LLM based systems
• Vector databases
• Retrieval augmented generation (RAG)
• Cloud environments (AWS, Azure, or GCP)
• Agentic AI
• Automation
• Developer productivity tooling

Experience Level

• 2+ years of experience in software engineering

Education Level

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)

Benefits

• 401(k)
• Bonus based on performance
• Training & development