Full Stack AI Engineer

Experience: 8+ Years

Budget: 1L-1.5L

JD:

Job Summary

We are looking for an experienced Full Stack AI Engineer with 8+ years of experience in full-stack development, Generative AI, and AI-powered applications. Candidates should have experience developing HR technology, recruitment automation, talent acquisition platforms, or AI-driven hiring solutions.

Key Responsibilities

• Develop scalable web applications using React.js, Next.js, Python, Node.js, or Java.
• Build AI-powered HR and recruitment solutions, including resume screening, candidate matching, interview automation, and talent analytics.
• Integrate LLMs, Generative AI, RAG pipelines, and AI agents into recruitment workflows.
• Develop REST APIs, microservices, and database integrations.
• Work with LangChain, LangGraph, vector databases, and LLM APIs.
• Integrate HRMS, ATS, job portals, and recruitment platforms.
• Deploy and maintain applications on AWS, Azure, or GCP.
• Ensure application security, scalability, performance, and data privacy.
• Collaborate with HR, recruitment, product, and engineering teams to understand business requirements.

Required Skills

• 8+ years of experience in full-stack software development.
• Strong experience with React.js/Next.js and Python/Node.js.
• Hands-on experience with Generative AI, LLMs, RAG, and AI integrations.
• Experience with REST APIs, microservices, SQL/NoSQL databases, and cloud platforms.
• Knowledge of LangChain, LangGraph, embeddings, and vector databases.
• Experience integrating HRMS, ATS, or recruitment-related systems.
• Understanding of HR and talent acquisition workflows, including candidate sourcing, resume screening, interview scheduling, and hiring lifecycle management.

Preferred Qualifications

• Experience building AI-powered HRTech, recruitment, or talent acquisition products.
• Exposure to platforms such as Workday, SAP SuccessFactors, Greenhouse, Lever, or JobDiva.
• Experience with AI interview assistants, candidate ranking, and automated hiring workflows.

Note: Candidates with strong Full Stack AI development experience and relevant HRTech/recruitment domain exposure will be preferred.