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عدد الطلبات التي تم تقديمها
استمري في التصفح والتقديم لزيادة فرصك في الحصول على وظيفة!
هل تبحثين عن جهات توظيف لها سجل مثبت في دعم وتمكين النساء؟
اضغطي هنا لاكتشاف الفرص المتاحة الآن!ندعوكِ للمشاركة في استطلاع مصمّم لمساعدة الباحثين على فهم أفضل الطرق لربط الباحثات عن عمل بالوظائف التي يبحثن عنها.
هل ترغبين في المشاركة؟
في حال تم اختياركِ، سنتواصل معكِ عبر البريد الإلكتروني لتزويدكِ بالتفاصيل والتعليمات الخاصة بالمشاركة.
ستحصلين على مبلغ 7 دولارات مقابل إجابتك على الاستطلاع.
Purpose of the role
To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
Accountabilities
Analyst Expectations
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.
Join Barclays as an Engineer - Applied AI role, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences. 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. 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.
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-specific technical skills.
This role is based in our Bengaluru and Pune office.
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