Senior Full-Stack LLM Engineer

Title: Senior Full-Stack LLM Engineer
Location: Dallas, TX

We are seeking an experienced Full Stack Engineer who possesses extensive hands-on expertise across the contemporary technology stack and a collaborative mindset. The ideal candidate will effectively collaborate with cross-functional teams, introduce and advocate for the most recent tools and frameworks, and drive engineering excellence throughout the organization.

As part of this role, the candidate will be responsible for designing and developing high-quality, production-grade code while adhering to industry best practices, coding standards, and architectural principles.

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

Core Technical Skills

• 10+ years of hands-on software development experience, with deep expertise in modern Java Full Stack development.
• Strong command of Java frameworks and libraries, including Spring, Spring Boot, and Hibernate.
• Proven experience building single-page web applications using ReactJS, Bootstrap, and Nodejs.
• Hands-on experience designing, developing, and deploying cloud-based architectures on AWS, Azure, or equivalent platforms.
• Expertise developing Java and Spring Boot applications backed by both relational (SQL Server / PostgreSQL) and NoSQL (MongoDB / Elasticsearch) databases.
• Practical experience integrating Large Language Models (LLMs) into applications via APIs (e.g., OpenAI, Anthropic Claude, Azure OpenAI, AWS Bedrock).
• Familiarity with prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
• Understanding of responsible AI practices, including data privacy, hallucination mitigation, evaluation, and guardrails.
• Solid hands-on experience developing production applications, data processing scripts, automation tooling, or backend services in Python.
• Working knowledge of modern security frameworks and standards such as OAuth 2.0, OpenID Connect, and JWT.
• Proficient in designing and building RESTful APIs and web services following industry best practices.
• Strong SQL development skills, including query optimization and performance tuning.
• Experience with modern testing frameworks (Jest, Mocha, Chai) and a commitment to test-driven development.
• Solid understanding of front-end architecture principles and data-driven UI development.
• Demonstrated ability to write clean, efficient, and maintainable code that adheres to coding standards and best practices.
• Excellent problem-solving and troubleshooting skills for diagnosing complex technical issues.
• Leadership & Soft Skills
• Proven ability to lead, mentor, and grow engineering teams, fostering a culture of technical excellence and continuous learning.
• Experience driving architectural decisions and setting technical direction across cross-functional teams.
• Strong stakeholder management skills, with the ability 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 who can articulate technical concepts clearly to both technical and non-technical audiences.
• Skilled at conducting code reviews, establishing engineering best practices, and raising the bar for code quality across the team.
• Ability to collaborate with product managers, designers, and business stakeholders to align engineering efforts with organizational goals.
• Experience coaching junior engineers, conducting performance reviews, and contributing to hiring and talent development.
• Strategic thinker who can balance short-term delivery pressures with long-term technical investments and technical debt management.
• Ownership mindset takes accountability for outcomes and proactively drives initiatives forward.
• Good to Have (Palantir)
• Hands-on experience with the Palantir foundry, including building pipelines, ontologies, and data-driven applications.
• Familiarity with Palantir's development tooling such as PySpark transforms, TypeScript-based Functions, Workshop.
• Exposure to enterprise-scale data integration and operational analytics workflows built on Palantir.
• Exposure to AI/ML frameworks and tooling such as LangChain, LlamaIndex, Hugging Face, or equivalent.
• Ability to identify and apply AI-driven solutions to real-world business problems and integrate them into enterprise applications.