AI/ML Engineer

HCLTech is a global technology company, home to more than 226,000+ people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, 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 of US $14.5B for 12 months ending December 2025.

About the Role:

We are looking for a highly motivated and hands-on AI/ML Engineer to join growing AI team. In this role, you will design, develop, and deploy enterprise-grade AI solutions leveraging Generative AI, Retrieval-Augmented Generation (RAG), Agentic AI, Knowledge Graphs, and Machine Learning technologies. You will collaborate with cross-functional teams to transform innovative AI concepts into scalable, secure, and production-ready solutions that deliver measurable business value.

Key Responsibilities:

Design, build, and deploy RAG and Agentic AI solutions from proof of concept through production.

Develop intelligent workflows using Python and modern AI orchestration frameworks such as LangChain and LangGraph.

Build scalable backend services and RESTful APIs using FastAPI and cloud-native architectures.

Create and optimize retrieval pipelines, including data ingestion, embeddings, indexing, retrieval, reranking, grounding, and citation generation.

Support GraphRAG and knowledge graph initiatives by integrating structured and unstructured data sources.

Develop and maintain AI and data pipelines using Databricks and related data engineering technologies.

Integrate AI applications with Azure cloud services while ensuring security, scalability, monitoring, and compliance standards.

Evaluate and improve AI solution performance using retrieval metrics, automated evaluation frameworks, and human feedback.

Collaborate closely with architects, data engineers, product owners, and business stakeholders to successfully deliver AI-driven solutions.

Troubleshoot, optimize, document, and support AI solutions throughout the application lifecycle.

Follow engineering best practices, including DevOps, CI/CD, testing, and code quality standards.

Requirements:

Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Statistics, or a related technical discipline.

3+ years of experience in AI Engineering, Machine Learning Engineering, Software Engineering, or Data Engineering.

Strong proficiency in Python and experience developing production-ready applications.

Hands-on experience building and deploying Generative AI, RAG, LLM-based, or Agentic AI solutions.

Experience developing APIs and backend services using FastAPI and REST APIs.

Proficiency with Docker, Git, Azure DevOps, and CI/CD practices.

Experience working with Microsoft Azure and cloud-native application deployment.

Knowledge of Databricks, SQL, data pipelines, and common data science and machine learning libraries.

Understanding of authentication, authorization, RBAC, secrets management, logging, monitoring, and enterprise security principles.

Experience evaluating AI models and applications using retrieval metrics, RAGAS, benchmark testing, or similar methodologies.

Excellent analytical, problem-solving, communication, and collaboration skills.

Ability to take ownership and drive projects from experimentation through production implementation.

Preferred Qualifications:

Experience with GraphRAG, Knowledge Graphs, Ontologies, or Graph Database technologies.

Exposure to Azure AI Services and Model Context Protocol (MCP).

Experience working within large-scale enterprise environments.

Familiarity with MLOps, AI governance, and responsible AI practices.

Experience building AI solutions that support business-critical processes and operations.

What we offer:

• Food vouchers and social benefits package
• Opportunity for career progression
• Young and vibrant team environment
• Competitive salary
• Professional on-boarding and on-going trainings

Are you willing to build up your career with us? We’ll be happy to receive your resume in English!

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Only candidates selected for interview will be contacted.

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