Staff Engineer-Applied AI (Bengaluru)

Staff Engineer-Applied AI (Bengaluru)

13 Aug
|
hackajob
|
Bengaluru

13 Aug

hackajob

Bengaluru

*hackajob
is collaborating with
Barclays
to connect them with exceptional professionals for this role.*
Join us as a Staff Engineer-Applied AI. 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.

Key Responsibilities
- 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.

To be a successful Staff Engineer-Applied AI, you should have experience with
- 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). Flue

📌 Staff Engineer-Applied AI (Bengaluru)
🏢 hackajob
📍 Bengaluru

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