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Full Stack AI Engineer( 5+ years)

N Human Resources & Management Systems

Job Location:

Bengaluru - India

Monthly Salary: K 10 - 10

Experience Required: 3-8years

Posted: 10 September 2026 (5 hours ago)

Application Deadline: 8 December 2026

Vacancies: 1 Vacancy

Job Summary

Full Stack AI Engineer

Location: Anywhere in India

Experience: 56 Years

CTC: 2535 LPA

Notice Period: Immediate Joiners / Up to 30 Days

About the Role

We are looking for a hands-on Full Stack AI Engineer with strong software engineering skills and practical experience building Generative AI / LLM-powered applications.

The ideal candidate should have experience across backend and frontend development AI/LLM integration APIs databases and cloud platforms with the ability to build scalable production-ready AI applications.

Key Responsibilities

Design develop and maintain full-stack Generative AI applications.
Build robust backend systems and APIs for AI-driven products and agent-based applications.
Integrate LLMs and GenAI models into production-ready applications.
Develop user-facing applications using modern frontend technologies.
Work with agentic AI frameworks such as LangChain LangGraph or Semantic Kernel.
Develop and integrate REST/GraphQL APIs and work with SQL/NoSQL databases.
Containerise applications using Docker and deploy solutions on cloud platforms.
Implement logging monitoring tracing and validation for AI applications.
Follow strong software engineering practices including code reviews testing and documentation.
Collaborate with AI engineers data scientists and technical teams to deliver end-to-end AI solutions.

Required Skills

56 years of professional software engineering/full-stack development experience.
Strong hands-on experience with Python preferably Django.
Strong experience with JavaScript/TypeScript and React.
Experience building backend systems APIs and data-driven applications.
Practical experience with Generative AI LLMs and AI-powered applications.
Experience/exposure to LangChain LangGraph Semantic Kernel or similar frameworks.
Strong understanding of REST/GraphQL APIs backend architecture and data modelling.
Experience with SQL and/or NoSQL databases.
Hands-on experience with Docker and cloud platforms such as GCP/Azure.
Good understanding of software design principles and system design.
Strong problem-solving and debugging skills.

Preferred

Experience taking AI/GenAI applications from development to production.
Exposure to model deployment monitoring guardrails and LLM application security.
Experience in consulting product or start-up environments.
Familiarity with machine learning data science and large-scale data processing.

Interested candidates can apply with their updated resume.

Required Skills:

Content Strategy: Develop and execute a comprehensive content strategy aligned with the companys marketing goals. Content Creation: Write and edit high-quality content including blog posts landing pages case studies white papers social media content and email newsletters. SEO Optimization: Use SEO best practices to optimize content and increase organic traffic. Campaigns: Collaborate with the marketing team to create content for demand generation campaigns email marketing and social media. Product Messaging: Translate technical product features into compelling easy-to- understand content for our target audience. Data-Driven Decisions: Track content performance metrics and iterate based on insights. Collaborations: Work with internal teams and external influencers to develop case studies and guest blog posts.

Required Education:

Graduate

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