The Job

Senior Technical Specialist

Technology, Data & Digital · Software & Web Development · Software Engineering · Data Science · Artificial Intelligence

Join for updates

In short

The Senior Technical Specialist, an AI Fullstack Engineer, designs and builds end-to-end AI applications using modern frontend and backend technologies, integrating Large Language Models (LLMs) into user experiences. This role emphasizes scalability, performance, and usability in AI-powered applications.

Responsibilities

  • Build end-to-end AI-powered applications using modern frontend and backend technologies.
  • Integrate Large Language Models (LLMs) into user-facing workflows and experiences.
  • Develop AI-enabled features such as chat interfaces, copilots, summarization, and intelligent search.
  • Design and implement responsive UIs using React, Angular, or similar frameworks.
  • Build backend services and APIs to orchestrate LLM calls, RAG pipelines, and AI workflows.
  • Implement prompt engineering, embeddings, and Retrieval-Augmented Generation (RAG).
  • Ensure application performance, scalability, security, and reliability.
  • Collaborate with UX designers, AI engineers, and product teams.
  • Architect, design, and develop solutions for product/project and sustenance delivery.
  • Support as a Subject Matter Expert.
  • Ensure knowledge up-gradation and work with new technologies.
  • Ensure a sufficient pool of skilled professionals through interviews, training, and mentorship.
  • Gather specifications and deliver solutions based on domain or technology understanding.
  • Support competency development with envisioning and articulating propositions.
  • Recommend client value creation initiatives and implement industry best practices.

Requirements

  • Strong experience with frontend frameworks such as React or Angular.
  • Backend development experience using Python, Node.js, or Java.
  • Hands-on experience integrating LLMs (OpenAI, Azure OpenAI, Gemini, Claude, or open-source models).
  • Experience with prompt engineering, embeddings, and RAG pipelines.
  • Familiarity with REST/GraphQL APIs, Docker, cloud platforms, and CI/CD pipelines.
  • 11–13 years of fullstack or application engineering experience.
  • 1–3+ years of hands-on experience delivering AI or GenAI-enabled applications.

Desired Qualifications

  • Basic exposure to MLOps or LLMOps concepts is a plus.

Benefits

  • Supercharge your potential.
  • Find your career.
  • Find your spark.
  • A place that knows that helping its customers stay on top starts by putting its people first.
#AI#Fullstack#LLM#Generative AI#React#Angular#Python#Node.js#Java#Prompt Engineering#RAG#APIs#Docker#Cloud#CI/CD
HCLTech Logo

Company

HCLTech

Job Posted

5 days ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Senior

Locations

Greater Noida, India

Chennai, India

Applicants

Be an early applicant