*hackajob
is collaborating with
Barclays
to connect them with exceptional professionals for this role.*
Join Barclays as a Lead Engineer - Applied AI role, where you will leverage your technical expertise to develop Agentic AI solutions as per the business/functional requirements that are scalable & secure. At Barclays, we don't just anticipate the future - we're creating it.
To be successful in this role, you should have below skills:
- 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.
- Robust 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.
Some Other Highly Valued Skills May Include Below
- 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-spec
📌 Lead Engineer (Bengaluru)
🏢 hackajob
📍 Bengaluru
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