Resume Keywords to Include
Make sure these keywords appear in your resume to improve ATS scoring
Sign up free to auto-tailor your resume with all these keywords and get a higher ATS score
Job Description
As a talented Full-Stack Engineer, Generative AI (Mid-Level), your role will involve designing, building, and operating AI-enabled web applications across the full stack. This includes integrating modern frontend and backend frameworks, Large Language Models (LLMs), and cloud-based infrastructure. You will be working on real-world, enterprise-grade solutions that progress from initial proof of concept to scalable, production-ready systems. Your strong engineering mindset, experience in Agile teams, and track record of delivering reliable software in cloud environments will be key in this role.
Key Responsibilities:
- Design, develop, and maintain scalable web applications using React with TypeScript.
- Build robust and high-performance APIs using NestJS / NodeJS or FastAPI / Python.
- Integrate applications with Large Language Model (LLM) APIs and related AI components.
- Embrace an iterative development approach, starting from proofs of concept and evolving solutions into production-ready, scalable applications within enterprise constraints.
- Own the design and implementation of features or services end-to-end, from development through deployment, while collaborating with Tech Leads, Senior engineers, and Architects.
- Deploy, operate, and monitor applications on cloud infrastructure (e.g., AWS), following enterprise standards for security and reliability.
- Work with both SQL and NoSQL data stores.
- Collaborate closely with cross-functional teams in an Agile environment, participating in daily stand-ups, sprint planning, and retrospectives.
- Write clean, maintainable, and well-documented code following established engineering best practices.
- Learn from failures, adapt quickly, and clearly communicate lessons learned.
- Maintain a lifelong learning mindset, continuously improving your technical and professional skills.
- Work effectively as part of a distributed (remote/virtual) team.
Qualifications Required:
- 4-5 years of relevant professional software engineering experience in production environments.
- 2 years of hands-on experience working with Large Language Models (LLMs).
- Proficiency in a modern frontend framework, ideally React with TypeScript (Angular is also acceptable).
- Hands-on experience with NestJS / NodeJS.
- Experience with or working knowledge of FastAPI or Django using Python.
- Strong understanding of RESTful APIs.
- Experience working in Agile delivery teams.
- Exposure to deploying and maintaining cloud-based systems.
- Strong communication skills in English.
The company operates on a shift schedule from 1:00 PM IST to 10:00 PM IST and offers a compensation range of INR 16-17 LPA. As a talented Full-Stack Engineer, Generative AI (Mid-Level), your role will involve designing, building, and operating AI-enabled web applications across the full stack. This includes integrating modern frontend and backend frameworks, Large Language Models (LLMs), and cloud-based infrastructure. You will be working on real-world, enterprise-grade solutions that progress from initial proof of concept to scalable, production-ready systems. Your strong engineering mindset, experience in Agile teams, and track record of delivering reliable software in cloud environments will be key in this role.
Key Responsibilities:
- Design, develop, and maintain scalable web applications using React with TypeScript.
- Build robust and high-performance APIs using NestJS / NodeJS or FastAPI / Python.
- Integrate applications with Large Language Model (LLM) APIs and related AI components.
- Embrace an iterative development approach, starting from proofs of concept and evolving solutions into production-ready, scalable applications within enterprise constraints.
- Own the design and implementation of features or services end-to-end, from development through deployment, while collaborating with Tech Leads, Senior engineers, and Architects.
- Deploy, operate, and monitor applications on cloud infrastructure (e.g., AWS), following enterprise standards for security and reliability.
- Work with both SQL and NoSQL data stores.
- Collaborate closely with cross-functional teams in an Agile environment, participating in daily stand-ups, sprint planning, and retrospectives.
- Write clean, maintainable, and well-documented code following established engineering best practices.
- Learn from failures, adapt quickly, and clearly communicate lessons learned.
- Maintain a lifelong learning mindset, continuously improving your technical and professional skills.
- Work effectively as part of a distributed (remote/virtual) team.
Qualifications Required:
- 4-5 years of relevant professional software engineering experience in production environments.
- 2 years of hands-on experience working with Large Language Models (LLMs).
- Proficiency in a modern frontend framework, ideally React with TypeScript (Angular is also acceptable).
- Hands-on experience with NestJS / NodeJS.
- Experience with or working knowledge of FastAPI or Django usin
Want AI-powered job matching?
Upload your resume and get every job scored, your resume tailored, and hiring manager emails found - automatically.
Get Started Free