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- Tasks: Join us as an AI Engineer to build innovative football chatbots for betting audiences.
- Company: Peregrine is a forward-thinking recruitment specialist focused on connecting talent with diverse clients.
- Benefits: Enjoy flexible working options, competitive salary, and a supportive team culture.
- Why this job: Work on exciting projects that blend technology and sports while making a social impact.
- Qualifications: Strong Python skills, experience with LangChain or LangGraph, and familiarity with chatbot development required.
- Other info: We value diversity and inclusion, fostering a vibrant workplace with a range of backgrounds.
The predicted salary is between 28000 - 42000 ÂŁ per year.
Direct message the job poster from Peregrine
Recruitment Specialist at Peregrine (formerly Capita Resourcing)
Join us an AI Engineer at Peregrine Resourcing.
At Peregrine, we’re always seeking Specialist Talent that have the ideal mix of skills, experience, and attitude, to place with our vast array of clients. From Business Analysts in large government organisations to Software Developers in the private sector – we are always in search of the best talent to place, now.
How Specialist Talent Works:
At Peregrine, we find the best talent for our clients. As a permanent employee of Peregrine, with access to all our standard benefits, you will be deployed across our portfolio of clients as a specialist consultant, working on a wide array of complex projects across multiple industries.
The role:
We’re hiring AI Engineers to help build two new football-focused chatbots for betting audiences. You’ll be responsible for designing, building, and deploying AI-powered conversational agents using LangGraph, OpenAI functions, and RAG techniques. This is a hands-on engineering role where you get to ship real-time chatbots that deliver dynamic, contextual betting insights to end users.
Responsibilities:
- Build conversational AI flows using LangGraph and OpenAI function-calling
- Integrate live sports data, betting odds, and user context into dynamic responses
- Implement memory handling, tool usage, and RAG pipelines
- Collaborate on system design, prompt tuning, and architecture decisions
- Optimize performance for speed, stability, and user satisfaction
Skills & Experience:
- Proven experience with LangChain or LangGraph
- Strong Python skills and experience working with LLMs
- Familiarity with RAG pipelines
- Experience building chatbots or agent-based systems
- Knowledge of real-time APIs and data integration (e.g., live sports feeds, betting odds)
- Understanding of prompt engineering, token limits, and response tuning
- Bonus: Experience in sports analytics, fantasy sports, or betting applications
About us:
At Peregrine, we see beyond the immediate and look to the horizon. We build lasting, meaningful partnerships with our clients, and deliver flexible solutions for every resourcing need, both now and in the future. Together, we help our clients to engage, develop and harness the skills they need to achieve and grow the workforce they want. We have a range of benefits you will receive alongside your salary.
Our culture:
At Peregrine we embrace fresh ideas, and we love learning fast. Our solutions are trusted and established, so we have the confidence of knowing we have a solid foundation. We rely on openness and honesty, and we’re always ready to help each other out. And we believe that our work can benefit society – whether it’s finding the digital talent of the future or being a driver for social mobility.
Our commitment to diversity:
At Peregrine, we’re proudly committed to championing diversity and inclusion, with company-wide initiatives to drive greater social mobility and reduce our environmental impact. Our teams represent a huge breadth of cultures, languages, and ethnicities, and over 20 different nationalities. We also employ candidates from a range of educational and socioeconomic backgrounds. Our partnerships with numerous charities ensure that we can stay well-informed and continue to improve our practices for the future. It reflects in the way we recruit for our clients as we assist them in becoming more diverse.
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Industries
Defense and Space Manufacturing
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AI Engineer employer: Peregrine
Contact Detail:
Peregrine Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Familiarise yourself with LangGraph and OpenAI functions, as these are crucial for the role. Consider building a small project or chatbot using these technologies to showcase your hands-on experience.
✨Tip Number 2
Network with professionals in the AI and sports analytics fields. Attend relevant meetups or online webinars to connect with others who might have insights into Peregrine's hiring process or company culture.
✨Tip Number 3
Prepare to discuss your experience with real-time APIs and data integration during interviews. Have specific examples ready that demonstrate how you've successfully implemented these in past projects.
✨Tip Number 4
Show your passion for sports and betting applications. Research current trends in sports analytics and be ready to share your thoughts on how AI can enhance user experiences in this area.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and skills required for the AI Engineer position. Familiarise yourself with LangGraph, OpenAI functions, and RAG techniques as these are crucial for the role.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your proficiency in Python, experience with LLMs, and any previous work with chatbots or agent-based systems.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of the sports betting industry. Mention specific projects or experiences that demonstrate your ability to design and deploy AI-powered solutions.
Showcase Your Projects: If you have worked on relevant projects, include links or descriptions in your application. Highlight any experience with real-time APIs, data integration, or prompt engineering to strengthen your application.
How to prepare for a job interview at Peregrine
✨Showcase Your Technical Skills
Make sure to highlight your experience with LangChain, LangGraph, and Python during the interview. Be prepared to discuss specific projects where you've built chatbots or worked with LLMs, as this will demonstrate your hands-on expertise.
✨Understand the Role's Context
Familiarise yourself with the specifics of the AI Engineer role at Peregrine, especially regarding building football-focused chatbots. Research how conversational AI can enhance user engagement in betting contexts, and be ready to share your insights.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, particularly around integrating live sports data and optimising performance. Think through potential challenges you might face in the role and how you would address them.
✨Emphasise Collaboration and Communication
Since the role involves collaboration on system design and architecture decisions, be ready to discuss your experience working in teams. Highlight any instances where you successfully communicated complex technical concepts to non-technical stakeholders.
