At a Glance
- Tasks: Design and implement AI agents and LLM-based applications in a dynamic environment.
- Company: Leading AI consulting firm in Greater London with an entrepreneurial spirit.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and impact.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Bachelor's or Master's in Computer Science and 3+ years in AI/ML required.
The predicted salary is between 60000 - 80000 £ per year.
A leading AI consulting firm in Greater London seeks experienced professionals to design and implement AI agents and LLM-based applications.
Candidates must have a Bachelor's or Master's degree in Computer Science or related field, with 3+ years in AI/ML. Strong Python skills and experience with orchestration libraries like LangChain are essential.
The role includes conducting testing, collaborating with stakeholders, and supporting pre-sales initiatives in a dynamic, entrepreneurial environment.
GenAI Engineer: Enterprise AI Agents & MVP Delivery in London employer: Infosys Consulting
Join a leading AI consulting firm in Greater London, where innovation meets collaboration in a dynamic and entrepreneurial environment. We offer competitive benefits, a strong focus on employee growth through continuous learning opportunities, and the chance to work on cutting-edge AI projects that make a real impact. Our inclusive work culture fosters creativity and teamwork, making it an excellent place for professionals looking to advance their careers in AI.
StudySmarter Expert Advice🤫
We think this is how you could land GenAI Engineer: Enterprise AI Agents & MVP Delivery in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, especially those who work at companies you're eyeing. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Python and orchestration libraries like LangChain. This will help you stand out during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your AI/ML knowledge. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace GenAI Engineer: Enterprise AI Agents & MVP Delivery in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in AI/ML and showcases your Python skills. We want to see how your background aligns with the role of a GenAI Engineer, so don’t hold back on those relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI agents and LLM-based applications. We love seeing candidates who can express their enthusiasm for the field and our company.
Showcase Your Projects:If you've worked on any AI/ML projects, make sure to include them in your application. We’re keen to see real examples of your work, especially if they involve orchestration libraries like LangChain. It’s all about demonstrating your hands-on experience!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Infosys Consulting
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with orchestration libraries like LangChain. Be ready to discuss specific projects where you've implemented these technologies, as this will show your hands-on experience and technical prowess.
✨Showcase Your AI Knowledge
Prepare to talk about the latest trends in AI and ML, especially those relevant to enterprise applications. Having a few examples of how you've applied AI solutions in previous roles can really set you apart and demonstrate your expertise.
✨Collaboration is Key
Since the role involves working with stakeholders, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked with teams or clients to deliver AI projects, highlighting your communication skills.
✨Be Ready for Problem-Solving Questions
Expect some scenario-based questions that test your problem-solving abilities. Think through potential challenges you might face in the role and how you would address them, showcasing your critical thinking and adaptability.
