We are seeking an experienced Full-Stack Engineer who brings deep Java and React expertise, a polyglot mindset, and the ability to extend existing systems with AI and agentic capabilities. The ideal candidate is a strong, fungible engineer — someone equally at home in a complex legacy Java application and a React client portal, who can also add meaningful AI/LLM functionality on top of real-world business workflows.

This is not a role for pure AI/ML specialists or narrow LLM researchers. We need a utility player: an excellent full-stack engineer who has built or integrated agentic components and is motivated to do more of it over time.

Beyond individual contribution, this person will play a pivotal role in mentoring junior developers, driving architectural decisions, and elevating engineering standards across the team.

Must-Have Technologies: Java 17+, ReactJS, Microservices, AWS/Azure, RDBMS, NoSQL

Core Technical Skills

Full-Stack Engineering (Primary)

• 10+ years of hands-on software development, with deep expertise in modern Java full-stack development.
• Strong command of Java frameworks including Spring, Spring Boot, and Hibernate.
• Proven experience building single-page web applications using ReactJS, Bootstrap, and Node.js.
• Solid understanding of front-end architecture principles and data-driven UI development.
• Hands-on experience designing, developing, and deploying cloud-based architectures on AWS or Azure — not inherited pipelines, genuine architecture ownership.
• Expertise developing applications backed by both relational (SQL Server/PostgreSQL) and NoSQL (MongoDB/Elasticsearch) databases.
• Strong SQL development skills including query optimization and performance tuning.
• Working knowledge of modern security frameworks and standards: OAuth 2.0, OpenID Connect, and JWT.
• Proficient in designing and building RESTful APIs following industry best practices.
• Experience with modern testing frameworks (Jest, Mocha, Chai) and a commitment to test-driven development.
• Demonstrated ability to write clean, efficient, maintainable code across a diverse stack.
• Excellent problem-solving and troubleshooting skills for diagnosing complex technical issues.

Polyglot Engineering

• Comfortable working across multiple languages and tech stacks — not single-stack only.
• Solid hands-on experience developing production applications, automation tooling, or backend services in Python.

AI / Agentic Integration (Secondary, But Important)

We are not looking for candidates who only exist in Python or whose entire background is LLM/model training. We are looking for full-stack engineers who have demonstrably built systems with AI components — or who have the depth and drive to take that on.

• Practical experience integrating LLMs into applications via APIs (e.g., OpenAI, Anthropic Claude, Azure OpenAI, AWS Bedrock).
• Ability to add AI capabilities on top of existing enterprise systems — examples include invoice OCR with LLM-based data extraction, validation against contracts, and payment logic.
• Familiarity with prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
• Understanding of responsible AI practices: data privacy, hallucination mitigation, evaluation, and guardrails.
• Willingness and ability to grow into deeper agentic/LLM work over time.

Leadership & Soft Skills

• Proven ability to lead, mentor, and grow engineering teams — with genuine ownership of that role, not circumstantial seniority.
• Experience driving architectural decisions and setting technical direction across cross-functional teams.
• Strong stakeholder management: able to translate business requirements into scalable technical solutions.
• Track record of leading end-to-end delivery of complex projects from design through deployment.
• Effective communicator with both technical and non-technical audiences.
• Skilled at conducting code reviews, establishing best practices, and raising the bar for code quality.
• Experience coaching junior engineers, contributing to hiring, and managing technical debt alongside delivery pressures.
• Ownership mindset — takes accountability for outcomes and drives initiatives forward proactively.

Good to Have (Palantir Foundry)

• Hands-on experience with Palantir Foundry including pipelines, ontologies, and data-driven applications.
• Familiarity with Foundry's development tooling: PySpark transforms, TypeScript-based Functions, Workshop.
• Exposure to enterprise-scale data integration and operational analytics workflows on Palantir.
• Exposure to AI/ML frameworks such as LangChain, LlamaIndex, or Hugging Face.
• Ability to identify and apply AI-driven solutions to real-world business problems within enterprise systems.