AI Engineer

HCLTech

Greater London

On-site

GBP 70,000 - 100,000

Full time

14 days+

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Job summary

HCLTech is seeking a skilled engineer to design, develop, and deploy scalable Python applications with robust RAG-based AI capabilities. You will build LLM-based solutions, including RAG pipelines and agentic workflows, and integrate RESTful APIs for cross-system communication.

The role spans the full SDLC, requiring collaboration with cross-functional teams to translate business requirements into robust technical solutions while upholding coding, testing, version control, and deployment

Qualifications

  • Design, develop, and deploy scalable Python apps with high quality and performance.
  • Build and implement LLM-based solutions including RAG pipelines and agentic workflows.
  • Develop and integrate RESTful APIs for seamless communication between systems.

Responsibilities

  • Work across the full SDLC: design, development, testing, CI/CD, deployment, maintenance.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Ensure best practices in coding, version control, testing, and deployment automation.

Skills

RAG & Agentic GenAI Engineering
Knowledge Graphs & Advanced RAG

Tools

Python

Job description

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion.

For more information on how we process your personal data, please refer to HCLTech’s Candidate Data Privacy Notice.

Primary Skill - RAG & Agentic GenAI Engineering

Secondary Skill - Knowledge Graphs & Advanced RAG

Job Description
  • Design, develop, and deploy scalable applications using Python with high code quality and performance standards
  • Build and implement LLM-based solutions, including RAG pipelines and agentic workflows for real-world use cases
  • Develop and integrate RESTful APIs for seamless communication between systems and services
  • Work across the full SDLC pipeline (design, development, testing, CI/CD, deployment, and maintenance)
  • Collaborate with cross-functional teams to translate business requirements into technical solutions
  • Ensure best practices in coding, version control, testing, and deployment automation.
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