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Capco

Agentic AI Specialist

Posted 2 Days Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in India
Senior level
Remote or Hybrid
Hiring Remotely in India
Senior level
The Agentic AI Specialist will leverage AI tools like GitHub Copilot and LLMs to enhance coding efficiency, develop AI solutions, and train teams while ensuring security compliance.
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Job Title: Lead Tableau Developer

 About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

MAKE AN IMPACT

Role Description

Experience : 7+ Years

Job Location : Bangalore/Chennai

Notice Period: 0 - 30 days

JD:

Looking for an innovative and experienced Agentic AI Specialist with expertise in GitHub Copilot, large language models (LLMs) and agent-based modelling to join our forward-thinking team. The ideal candidate will have a deep understanding of AI-driven development tools, natural language processing, and the ability to integrate these technologies to enhance productivity and efficiency in software development processes. - AI Integration and Optimization:

  • Leverage GitHub Copilot and other AI-driven tools to enhance coding efficiency and accuracy.
  • Integrate large language models (LLMs) into existing workflows to automate and improve development processes.
  • Development and Implementation:
  • Develop and implement AI solutions that assist in code generation, debugging, and documentation.
  • Collaborate with development teams to identify and address areas where AI can improve productivity and quality.
  • Research and Innovation:
  • Stay abreast of the latest advancements in AI, machine learning, and natural language processing.
  • Conduct research to explore new applications of LLMs and AI tools in software development.
  • Training and Support:
  • Provide training and support to development teams on the effective use of GitHub Copilot and other AI tools.
  • Develop documentation and best practices for integrating AI tools into the development lifecycle.
  • Collaboration and Communication:
  • Work closely with cross-functional teams to understand their needs and provide tailored AI solutions.
  • Communicate complex AI concepts and solutions to non-technical stakeholders.
    • Security and Compliance:
  • Ensure that all AI solutions comply with security and regulatory requirements.
  • Implement best practices for data privacy and security in AI-driven development processes.

Qualifications

  • • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • • 3+ years of experience in AI, machine learning, or related roles.
  • • Proven track record of integrating AI tools into software development processes.
  • • Proficient in programming languages such as Python, JavaScript, or similar.
  • • Extensive experience with GitHub Copilot and other AI-driven development tools.
  • • Strong understanding of large language models (LLMs) and their applications.
  • • Familiarity with natural language processing (NLP) techniques and tools.
  • • Familiarity with agile methodologies and DevOps practices.

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