GenAI Prompt Engineer
Capgemini
Job Overview
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Job Description
GenAI Prompt Engineer at Capgemini
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Primary Responsibilities:
- The developer will be working within a machine learning team/squad
- The team is working on developing Artificial Intelligence solutions including ML and Gen AI
- The candidate should be familiar with python development and prompt engineering
- The candidate should be able to work with different Clients/SMEs and understand the business requirements for prompt engineering and proper python code development
- Experience with Open AI and different LLM models, conduct testing and performance evaluation is required
- Good candidate should be familiar with ongoing monitoring
- Contribute to development and maintenance of the python library
- Contribute to the support of the library
- Participate in prompt engineering
- Maintain the prompts and keep them up to date with the new LLM versions
- Conduct regular testing and performance analysis
- Participate in prompt benchmarking experiments
Skills Required:
- Excellent prompt engineering skills
- Bachelors in computer science or related field
- Years of experience 5
- Hands‑on experience in building python applications
- Excellent Python development skills
- Experience of Agile development
- Strong analytical skills and passion for problem‑solving
- Good communication skills
Skills Desired:
- Experience with machine learning vector databases
- Cloud‑based application development preferably using Microsoft Azure Cloud
- Prior experience in FinTech application development
- Exposure to working in a global delivery team
Compensation & Benefits:
The base compensation range for this GenAI Prompt Engineer role in the posted location is: 73,000 to 83,000. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The actual compensation offered may vary based on factors like geographic location, education, qualifications, certifications, relevant experience, skills, seniority, performance, market conditions, and internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for variable incentives, bonuses, or commissions.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. Benefits in the U.S. and Canada may include paid time off (vacation, holidays, personal days, sick leave), medical, dental, and vision coverage, retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada), life and disability insurance, and employee assistance programs.
Disclaimers:
Capgemini is an Equal Opportunity Employer, encouraging inclusion in the workplace and participating in the Partnership Accreditation in Indigenous Relations (PAIR) program in Canada. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status, or any other characteristic protected by law. Capgemini is committed to providing reasonable accommodation during our recruitment process. Please be aware that Capgemini may capture your image during the interview process for verification purposes. For more information on applicant rights in the United States, please visit capgemini.com/resources/equal-employment-opportunity-is-the-law.
Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world. It is a responsible and diverse group of 340,000 team members in more than 50 countries, with a strong over 55-year heritage. Capgemini delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, fueled by market-leading capabilities in AI, generative AI, cloud, and data, combined with deep industry expertise and a partner ecosystem.
Key skills/competency
- Prompt Engineering
- Python Development
- Generative AI
- Machine Learning
- Large Language Models (LLM)
- OpenAI API
- Agile Methodologies
- Performance Evaluation
- Cloud-based Development
- Analytical Problem Solving
How to Get Hired at Capgemini
- Research Capgemini's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your resume to highlight Python, AI/ML, and prompt engineering skills for Capgemini.
- Showcase GenAI expertise: Prepare a portfolio or discuss projects involving LLMs and prompt optimization.
- Practice behavioral interviews: Demonstrate problem-solving, communication, and client collaboration skills.
- Network strategically: Connect with Capgemini employees on LinkedIn for insights and potential referrals.
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