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Staff Engineer-Applied AI

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Barclays

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Location:
India , Bengaluru

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

At Barclays, we don’t just adapt to the future, we create it. As a Staff Engineer-Applied AI you will support the organisation, achieve its strategic objectives by the identification of business requirements and solutions that address business problems and opportunities. To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.

Job Responsibility:

  • Lead the development of GenAI & Agentic AI systems & solutions to build intelligent conversational AI and workflow automation for specific business domains
  • Design and develop Full-Stack Multi Agentic AI systems using Agentic AI frameworks, LLMs and technologies, build function tools and integrate them with Back-End systems using REST-API, MCP or A2A protocols
  • Design, develop and Expose Agentic AI back-end, wrap existing back-end systems with MCP Servers to other agentic front-end and agentic back-end systems
  • Apply context engineering techniques such as context caching, context compression etc... to improve model’s (LLM) performance and response times
  • Implement guardrails & policy enforcement for safety and security risks that are required to duly comply with the organization’s data privacy and security standards
  • Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization
  • Communicate effectively with both technical and non-technical stakeholders, including senior leadership
  • Develop and maintain tools and frameworks for prompt-based model training, evaluation, and optimization
  • Analyze and interpret data to evaluate model performance and identify areas of improvement
  • 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

Requirements:

  • A Bachelor’s degree (or above) in computer science, engineering, mathematics, or a related discipline
  • Experience in developing software applications for scale on cloud(AWS or Azure or GCP)
  • Fluent in Python or Java or GoLang programming language and frameworks
  • Hands-on experience in GenAI and Agentic AI frameworks such as LangGraph/LangChain, CrewAI, Strands SDK, Google ADK etc.
  • Familiarity on working with MCP and A2A protocols
  • Solid understanding of working with LLM Models, writing prompts efficiently that provides accurate context for LLM Agents
  • Hands-on experience in developing and deploying Agentic AI solutions using cloud native services like AWS Bedrock or Azure AI Foundry or GCP Vertex AI
  • Strong understanding of AI implementation in software development and legacy code transformation
  • Experience in developing APIs and integrating LLM models into software applications
  • Ability to work on system design from ideation through completion with limited supervision
  • Excellent problem-solving skills and the ability to communicate ideas and results to stakeholders and leadership in a clear and concise manner

Nice to have:

  • Familiarity with model fine-tuning techniques such as supervised or Reinforced Learning
  • Knowledge of banking, financial products and services
What we offer:
  • Competitive holiday allowance
  • Life assurance
  • Private medical care
  • Pension contribution
  • Health and wellness access to wellness rooms, gyms and mental health support
  • Modern workspaces, collaborative areas, and state-of-the-art meeting rooms
  • Facilities include wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations

Additional Information:

Job Posted:
March 21, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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