Skills : AI Engineer Python + NodeJS/React + Azure Cloud Related.
This is for Banking Client Opening in
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* DOB & Place of Birth : Mandatory
JD – 1 –AI Engineer – Python + ReactJS/NodeJS+Azure (AO)
Targeted corporate title - AO - Authorized Officer
City -Pune
The role will report to the Tech Services AI Technical Crew Lead and collaborate with stakeholders across various functions within the bank, especially with GOTO.
We are seeking an AI Engineer who will:
identify & Prioritize Use Cases: Collaborate with stakeholders to identify and prioritize key use cases from all functions within the bank
define Hypotheses: Work with stakeholders to formulate hypotheses and Minimum Viable Products (MVPs)
experiment & Validate: Conduct experiments in short, high-frequency iterations to validate these hypotheses
roll Out & Release: Once the value has been demonstrated, bring ideas to life by deploying, releasing, and making them accessible to the intended personas.
As an AI Engineer, you will contribute to the development and deployment of innovative AI-driven solutions that enhance UBS operations and tooling. This role is perfect for a technologist passionate about coding, AI, and exploring the latest advancements in LLMs (Large Language Models) and Generative AI (GenAI). Your work will focus on reducing human error, improving efficiency, and delivering impactful tools for employees and clients.
Your expertise
We are looking for a candidate with:
a university degree in an analytical field such as engineering, computer science, or information technology
technical skills: General knowledge in software engineering/development, ideally with Python and/or NodeJS/React
cloud expertise: Familiarity with Azure Cloud, including Azure OpenAI Service and its APIs
basic GenAI knowledge: Understanding of Generative AI and prompt engineering capabilities
mindset: An experimental, pragmatic mindset with a proactive attitude, focusing on moving fast and learning from failures
Bonus Skills:
knowledge of Agentic GenAI frameworks and development tools like AutoGen and LangGraph ntify & Prioritize Use Cases: Collaborate with stakeholders to identify and prioritize key use cases from all functions within the bank
define Hypotheses: Work with stakeholders to formulate hypotheses and Minimum Viable Products (MVPs)
experiment & Validate: Conduct experiments in short, high-frequency iterations to validate these hypotheses
roll Out & Release: Once the value has been demonstrated, bring ideas to life by deploying, releasing, and making them accessible to the intended personas As an AI Engineer, you will contribute to the development and deployment of innovative AI-driven solutions that enhance UBS operations and tooling. This role is perfect for a technologist passionate about coding, AI, and exploring the latest advancements in LLMs (Large Language Models) and Generative AI (GenAI). Your work will focus on reducing human error, improving efficiency, and delivering impactful tools for employees and clients. Your expertise We are looking for a candidate with:
a university degree in an analytical field such as engineering, computer science, or information technology
technical skills: General knowledge in software engineering/development, ideally with Python and/or NodeJS/React
cloud expertise: Familiarity with Azure Cloud, including Azure OpenAI Service and its APIs • basic GenAI knowledge: Understanding of Generative AI and prompt engineering capabilities • mindset: An experimental, pragmatic mindset with a proactive attitude, focusing on moving fast and learning from failures Bonus Skills:
knowledge of Agentic GenAI frameworks and development tools like AutoGen and LangGraph
AI Engineer – Python + ReactJS/NodeJS+Azure (AD)
Exp : 10+Years
Targeted corporate title - AD – Associate Director
City - Pune
The role will report to the Tech Services AI Technical Crew Lead and collaborate with cross-functional
teams across the organization.
We are seeking an AI Engineer who will:
- lead Use Case Identification & Prioritization: Partner with stakeholders to identify, evaluate, and prioritize high-impact use cases across the bank
- define Hypotheses & MVPs: Collaborate with teams to frame hypotheses and design Minimum Viable Products (MVPs) to test ideas
- drive Experimentation & Validation: Lead experiments in short, iterative cycles to validate hypotheses and refine solutions
- deploy & Scale Solutions: Oversee the deployment of validated solutions, ensuring scalability, reliability, and accessibility for intended personas
- mentor & Guide Teams: Provide technical guidance and mentorship to junior engineers, fostering a culture of learning and innovation
- collaborate Across Functions: Work with engineering, infrastructure, and business teams to integrate AI capabilities into existing platforms and pipelines
As an AI Engineer, you will take a leadership role in designing, developing, and deploying AI-driven solutions that enhance UBS operations and tooling. This position is ideal for experienced professionals with a strong technical background and a passion for AI, LLMs (Large Language Models), and Generative AI (GenAI). You will work closely with senior stakeholders to identify impactful use cases, drive innovation, and deliver scalable solutions that improve efficiency, reduce human error, and create value for employees and clients.
Your expertise
We are looking for a candidate with:
- a university degree in an analytical field such as engineering, computer science, or information technology
- extensive technical skills: Strong expertise in software engineering/development, with proficiency in Python and/or NodeJS/React
- cloud expertise: Deep familiarity with Azure Cloud, including Azure OpenAI Service and its APIs
- genAI knowledge: Strong understanding of Generative AI, prompt engineering, and their applications in real-world scenarios
- leadership skills: Proven ability to lead projects, mentor junior team members, and influence stakeholders across departments
- mindset: A strategic, experimental mindset with a proactive attitude, focusing on delivering results and learning from failures
Bonus Skills:
- knowledge in Agentic GenAI frameworks and development tools like AutoGen and LangGraph.
- knowledge with AI governance and ensuring compliance with regulatory requirements and ensuring compliance with regulatory requirements
Warm Regards,
**Sanjay Mandavkar**
IT-Recruitment Manager | Think People Solutions Pvt. Ltd.
Empowering People. Enabling Growth.
Email : sanjay@thinkpeople.in
www.thinkpeople.in