Staff Engineer-Applied AI
Barclays · Bengaluru · Posted 2026-07-18
Tech stack: AWS, Azure, GCP, Golang, Java, Python
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About the role
To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
Responsibilities:
- 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.
- 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.
Qualifications:
- 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.
- Familiarity with model fine-tuning techniques such as supervised or Reinforced Learning.
- Knowledge of banking, financial products and services.
- This role is based in Bengaluru and Pune office.
Qualifications
- 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.
- Familiarity with model fine-tuning techniques such as supervised or Reinforced Learning.
- Knowledge of banking, financial products and services.
- This role is based in Bengaluru and Pune office.
Responsibilities
- 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.
- 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.