Engineer - AI Platform

Barclays Capital; Bengaluru; On-site; INR 2,000,000 - 3,200,000; Full time

Job summary

Barclays is seeking an Engineer - AI Platform in Bengaluru to design, develop, and improve software leveraging cloud-native practices. You will collaborate with product managers, designers, and engineers to align solutions with business goals while ensuring secure coding and robust testing.

You will work with Python/Java/Go, REST APIs, GenAI/LLM tooling, and containerized architectures (Docker, Kubernetes) to deliver scalable, reliable systems and stay current with industry trends.

Qualifications

• Cloud platforms (AWS/Azure/GCP) experience required.
• Strong proficiency in Python or Java/Go with REST APIs.
• GenAI/LLM hands-on experience with prompt building and embeddings.
• Familiarity with LangGraph/LangChain or Google ADK; Docker/Kubernetes basics.

Responsibilities

• Develop, deliver and improve scalable, maintainable software solutions.
• Collaborate with product managers, designers and engineers to define requirements.
• Conduct code reviews and promote a culture of code quality.
• Adhere to secure coding practices and implement unit tests.
• Stay updated on tech trends and contribute to engineering communities.

Skills

Cloud (AWS/Azure/GCP)

Python

Java/Go

REST APIs

Async frameworks

GenAI/LLM hands-on

LangGraph/LangChain or Google ADK

Docker

Kubernetes

Tools

Docker

Kubernetes

Job description

Job Description

Purpose of the role

To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.

Accountabilities

Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.

Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.

Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.

Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth.

Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.

Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

Analyst Expectations

To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.

Requires in-depth technical knowledge and experience in their assigned area of expertise

Thorough understanding of the underlying principles and concepts within the area of expertise

They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.

If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others.

OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.

Will have an impact on the work of related teams within the area.

Partner with other functions and business areas.

Takes responsibility for end results of a team's operational processing and activities.

Escalate breaches of policies / procedure appropriately.

Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.

Advise and influence decision making within own area of expertise.

Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.

Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.

Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.

Make evaluative judgements based on the analysis of factual information, paying attention to detail.

Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.

Guide and persuade team members and communicate complex / sensitive information.

Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

Values

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.

Join Barclays as an Engineer - AI Platform role

Join Barclays as an Engineer - AI Platform role, where to design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. At Barclays, we don't just anticipate the future - we're creating it.

Required Skills

To be successful in this role, you should have below skills:

• Software engineering on cloud (3+ yrs) building applications at scale on AWS/Azure/GCP
• Python (preferred) or Java/Go - REST APIs, async frameworks, clean testable code
• GenAI/LLM hands-on - calling LLM APIs, prompt building, RAG patterns, embeddings
• Agentic AI framework (LangGraph/LangChain or Google ADK) + Docker/Kubernetes basics

Some other highly valued skills may include below:

• Observability - OpenTelemetry, structured logging, distributed tracing
• OPA/Rego or access control systems
• AI safety concepts - prompt injection risks, PII handling, content filtering
• IaC (CloudFormation/Terraform) and GitOps workflows

You may be assessed on the key critical skills relevant for succe