Lead- Full Stack Engineer

Tiger Analytics; Illinois; On-site; USD 120,000 - 150,000; Full time

Job summary

A fast-growing analytics consulting firm in the United States is seeking an experienced Full Stack Engineer - Lead. In this role, you'll design and develop full stack applications while integrating cutting-edge GenAI solutions. You must have over 10 years of experience in full stack development, particularly with Vue.js, Node.js, and Python, and experience in cloud-native architectures. This position offers significant career growth and the chance to work within a dynamic, entrepreneurial team.

Qualifications

• 10+ years of experience in Full Stack Development.
• Strong hands-on experience with Vue.js, Node.js, and Python.
• Proven experience in GenAI / LLM integration.
• Experience with AWS cloud services (Lambda, S3, RDS, Fargate).
• Solid experience building REST/GraphQL APIs.

Responsibilities

• Design and develop full stack applications using Vue.js, Node.js, and Python.
• Integrate GenAI / LLM-based solutions into applications.
• Build and maintain RESTful APIs and/or GraphQL services.
• Develop scalable, event-driven systems using Kafka.
• Deploy and manage applications on AWS (Lambda, S3, RDS, Fargate).

Skills

Vue.js

Node.js

Python

GenAI / LLM integration

AWS cloud services

REST APIs

GraphQL

Kafka

Docker

Kubernetes

Job description

Tiger Analytics is looking for experienced Full Stack Engineer -Lead to join our fast-growing advanced analytics consulting firm. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are looking for a Full Stack Engineer / Lead with strong experience in modern web development, cloud-native architecture, and Generative AI (GenAI / LLM integration). This role requires hands-on expertise across frontend, backend, and cloud platforms, along with the ability to design scalable, production-grade systems.

This role requires hands-on technical depth, strong architectural understanding, and the ability to work in a fast-paced hybrid environment.

Responsibilities

• Design and develop full stack applications using Vue.js, Node.js, and Python
• Integrate GenAI / LLM-based solutions into applications (prompt engineering, APIs, model integration)
• Build and maintain RESTful APIs and/or GraphQL services
• Develop scalable, event-driven systems using Kafka
• Deploy and manage applications on AWS (Lambda, S3, RDS, Fargate)
• Implement CI/CD pipelines and containerized deployments using Docker & Kubernetes
• Work with relational databases such as Postgres, MySQL, or Oracle
• Collaborate with cross-functional teams including product, design, and data teams
• Ensure performance, scalability, and security of applications

Qualifications

• 10+ years of experience in Full Stack Development
• Strong hands-on experience with Vue.js, Node.js, and Python
• Proven experience in GenAI / LLM integration (must-have)
• Experience with AWS cloud services (Lambda, S3, RDS, Fargate)
• Solid experience building REST/GraphQL APIs
• Experience with Kafka or event-driven architecture
• Hands-on experience with Docker, Kubernetes, and CI/CD pipelines
• Strong knowledge of RDBMS (Postgres/MySQL/Oracle)
• Excellent problem-solving and communication skills

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.