Engineer - Applied AI
Barclays · Bengaluru · Posted 2026-07-18
Tech stack: AWS, Azure, FastAPI, GCP, Golang, Java, MongoDB, Python, SQL
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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.
Qualifications:
- A bachelor’s degree (or above) in computer science, engineering, mathematics, or a related discipline.
- Experience in developing software applications. Fluent in Python or Java or GoLang programming language and familiarity on working with cloud technologies (AWS or Azure or GCP).
- Hands-on experience in working with SQL or NoSQL Databases like PostgresSQL or MongoDB.
- Hands-on experience in developing REST based API/Services using frameworks like FastAPI, Springboot.
- Hands-on experience in GenAI and Agentic AI frameworks such as LangGraph/LangChain, CrewAI, Strands SDK, Google ADK etc.
- Familiarity with MCP and A2A protocols.
- Good understanding of working with LLM Models, writing prompts efficiently that provide accurate context for LLM Agents.
- Familiarity with model fine-tuning techniques such as supervised or Reinforced Learning.
- Knowledge of banking, financial products and services.
- You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.
- This role is based in our 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.
- Fluent in Python or Java or GoLang programming language and familiarity on working with cloud technologies (AWS or Azure or GCP).
- Hands-on experience in working with SQL or NoSQL Databases like PostgresSQL or MongoDB.
- Hands-on experience in developing REST based API/Services using frameworks like FastAPI, Springboot.
- Hands-on experience in GenAI and Agentic AI frameworks such as LangGraph/LangChain, CrewAI, Strands SDK, Google ADK etc.
- Familiarity with MCP and A2A protocols.
- Good understanding of working with LLM Models, writing prompts efficiently that provide accurate context for LLM Agents.
- Familiarity with model fine-tuning techniques such as supervised or Reinforced Learning.
- Knowledge of banking, financial products and services.
- You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.
- This role is based in our 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.