Senior Full-Stack LLM - FDE-level (Onshore)

About

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.

Responsibilities

• Designing and developing high-quality, production-grade code while adhering to industry best practices, coding standards, and architectural principles.
• Mentoring and training Jr developers—guiding them through code reviews, knowledge-sharing workshops to accelerate their growth, strengthen their technical foundation, and foster a culture of continuous learning within the team.

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.