Lead Full-Stack AI Engineer
Job Title: Lead Full Stack AI Engineer
Job Location: WFH / Remote
Experiene: 8-10 Years
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 will 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 scalable, production-ready applications.
Develop user-facing applications using modern frontend technologies.
Build reusable components and frameworks for model integration, deployment and monitoring
.
Implement appropriate logging, monitoring, tracing and validation for AI applications.
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.
Follow strong software engineering practices, including code reviews, testing and documentation.
Collaborate with data scientists, AI engineers and other technical teams to deliver end-to-end AI solutions.
Required Skills & Experience
5-6 years of professional software engineering/full-stack development experience.
Strong hands-on programming experience in Python, preferably Django.
Strong experience with JavaScript/TypeScript and React.
Experience building backend systems, APIs and data-driven applications.
Practical experience working with Generative AI, LLMs and AI-powered applications.
Exposure to agentic frameworks such as LangChain, LangGraph, Semantic Kernel or similar.
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 or similar.
Good understanding of software design principles and system design.
Strong problem-solving and debugging skills.
Good communication skills and ability to work collaboratively in a fast-paced environment.
Preferred
Experience taking AI/GenAI applications from development to production.
Exposure to model deployment, monitoring, guardrails and LLM application security.
Experience working in a consulting, product or start-up environment.
Familiarity with machine learning, data science and large-scale data processing.
Please expedite and send the updated resume along with requested details and confirmation of interest.
Regards,
Pooja Raval - Sr. Consultant / Team Leader
Ms. Swati Sharma Recruitment Consultant
Send CV and Reply mail to unitedtechit@uhr.co.in;
Will call you for detail discussion, if your Profile is relevant.