The Job

Senior Technical Specialist

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Software Engineering

Join for updates

In short

The AI Engineer will design, build, deploy, and operate production-grade LLM solutions, focusing on engineering rigor to create reliable, scalable, and secure enterprise applications. This role requires strong programming skills in Python, experience with LLM frameworks, RAG pipelines, and cloud platforms like Docker and Kubernetes.

Responsibilities

  • Design and build LLM-powered applications using proprietary and open-source models.
  • Implement prompt engineering, Retrieval-Augmented Generation (RAG), tool/function calling, and agent workflows.
  • Deploy LLM solutions into cloud and enterprise environments with scalability and reliability.
  • Build inference APIs, microservices, and CI/CD pipelines for AI applications.
  • Monitor model quality, latency, cost, drift, and hallucinations in production.
  • Fine-tune and enhance models using parameter-efficient techniques where required.
  • Optimize inference performance using caching, batching, quantization, and prompt optimization.
  • Ensure security, privacy, and responsible AI guardrails in all deployments.
  • Collaborate with product, platform, and engineering teams to deliver enterprise AI solutions.
  • 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 to keep solutions current and meet quality standards and client requirements.
  • Ensure a sufficient pool of skilled professionals in the designated technology through interviews, training, and mentorship.
  • Gather specifications and deliver solutions based on understanding of a domain or technology.
  • Support competency development with envisioning and articulating propositions, including collaterals/whitepaper creation and market trend analysis.
  • Recommend client value creation initiatives and implement industry best practices.

Requirements

  • Strong programming skills in Python; experience with backend APIs.
  • Hands-on experience with LLM frameworks (LangChain, LlamaIndex, or equivalent).
  • Experience building RAG pipelines using vector databases.
  • Knowledge of Docker, Kubernetes, cloud platforms, and CI/CD pipelines.
  • Familiarity with LLMOps / MLOps tools and monitoring systems.
  • 11–15 years of overall software or ML engineering experience.
  • 1–3+ years of hands-on experience delivering LLM or Generative AI solutions in production.

Benefits

  • At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark.
  • A place that knows that helping its customers stay on top starts by putting its people first.
#LLM#AI#Generative AI#Prompt Engineering#RAG#Cloud#APIs#Microservices#CI/CD#MLOps#Python#Docker#Kubernetes
HCLTech Logo

Company

HCLTech

Job Posted

2 weeks ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Senior

Locations

Bengaluru, India

Allagadda, India

Applicants

Be an early applicant