Barclays GenAI Engineer freshers and entry level candidates apply fast Full Time NEW

Barclays GenAI Engineer freshers and entry level candidates apply fast . This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below. Also Check course section free 

About Company :

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Job Description :

Join us as a GenAI Engineer at Barclays where you will be responsible for building, implementing, and optimizing GenAI solutions across Data-as-a-Service landscape. This role focuses on developing RAG pipelines, prompt workflows, and AI-driven automation, integrating models with enterprise data sources and APIs. The engineer will develop secure, scalable GenAI components, collaborate with data and platform teams, and ensure high‑quality outputs through proper versioning, evaluation, and adherence to Barclays governance standards. The role is hands‑on, delivery-focused, and essential in accelerating adoption of GenAI capabilities across the organization.

Job Responsibilities

• Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Development of processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaboration with data scientist to build and deploy machine learning models.

Required Skills and Qualifications

• Implementing GenAI solutions using Large Language Models (LLMs).
• Basics of prompt engineering, LLM API integration, Retrieval-Augmented Generation (RAG).
• Strong hands-on experience in Programming Languages and Analytical/Critical thinking.
• Proficiency in Python, which serves as our primary language for artificial intelligence and machine learning initiatives.
• A sound understanding of Oracle/SQL, database querying skills and Unix.
• Experience with APIs and SDKs to facilitate integration and development.
• Familiarity with embeddings, model fine-tuning.
• Experience with algorithms for Synthetic Data Generation.
• Competence in Data modelling and schema design.
• Understanding of Data Masking and Anonymisation techniques.

Technical Skills

• Basics of Linux commands, Bash scripting.
• Ability to integrate with CI/CD pipelines and GitLab workflow.
• SonarQube for code quality.
• Understanding of Cloud platforms.
• Ability to work in Agile environments.

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