At a Glance
- Tasks: Design and implement AI agents for real-world business solutions.
- Company: Join a globally renowned management consulting firm at the forefront of technology.
- Benefits: Industry-leading compensation, benefits, and top training opportunities.
- Why this job: Make an impact in a dynamic environment with innovative projects.
- Qualifications: Degree in Computer Science or related field; experience in AI/ML required.
- Other info: Inclusive culture with excellent career growth and learning opportunities.
The predicted salary is between 28800 - 48000 £ per year.
Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You'll be part of an entrepreneurial, high-growth environment of 300,000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready?
Job Overview: Infosys Consulting is at the forefront of applied AI innovation, delivering real-world business value through the convergence of AI agents, machine learning, and modern enterprise architecture. As part of our growing Enterprise AI consulting practice, we are looking for technically hands-on professionals to design and deliver client-centric intelligent systems and support business growth through strategic pre-sales and solutioning initiatives.
Key Responsibilities:
- Design and implement AI agents using LangChain, CrewAI, or AutoGen for enterprise-grade use cases.
- Develop modular code for task decomposition, memory handling, and tool integration with APIs.
- Collaborate with AI strategists and architects on project design and MVP delivery.
- Conduct testing and fine-tuning of agent behavior using LLM APIs and embeddings.
- Participate in internal code reviews, documentation, and reusable framework building.
- Support pre-sales demos and client innovation sessions with handsāon prototypes.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, AI, or related field. PhD preferred for architect-level roles.
- 3+ years in AI/ML, with recent experience in agentic systems and handsāon development of LLM-based applications.
- Strong experience with Python and orchestration libraries such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar.
- Deep knowledge of LLMs (GPT, Claude, LLaMA, Mistral, etc.), prompt engineering, agent memory, tool calling, and autonomous task execution.
- Experience with RFP/RFI support, and proposal creation in a consulting or enterprise services environment.
- Understanding of enterprise solutioning with cloud platforms (AWS, Azure, GCP), API integration, and data security best practices.
- Exceptional communication and consulting skills, with the ability to present solutions to both technical and non-technical stakeholders.
Preferred Skills:
- Strong proficiency in programming languages such as Python, Java, Spring, Maven, JSON. Object Oriented Programming.
- Handsāon exposure to cognitive architectures, planningābased agents, or reinforcement learning in real-world deployments.
- Experience integrating AI agents into enterprise apps like Salesforce, ServiceNow, SAP, or custom apps via APIs.
- Understanding of AI observability, performance monitoring, and ethical guidelines in GenAI systems.
Given that this is just a short snapshot of the role we encourage you to apply even if you don't meet all the requirements listed above. We are looking for individuals who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please apply now.
About Infosys Consulting: Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.
Our core values, ICāLIFE, form a common code that helps us move forward. ICāLIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page.
Within Europe, we are recognized as one of the UK's top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on Germany's top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.
We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We'd love to hear from you.... Apply today!
GenAI Engineer in London employer: Infosys Consulting
Contact Detail:
Infosys Consulting Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land GenAI Engineer in London
āØTip Number 1
Network like a pro! Reach out to current employees at Infosys Consulting on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role as a GenAI Engineer. Personal connections can make a huge difference!
āØTip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI agents, LLMs, or any relevant tech. This is your chance to demonstrate your hands-on experience and creativity. Make sure to highlight any prototypes or demos you've built!
āØTip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Python, LangChain, and any AI frameworks youāve used. Also, practice explaining complex concepts in simple terms for non-technical stakeholders.
āØTip Number 4
Donāt hesitate to apply through our website! Even if you donāt meet every single requirement, we value eagerness to learn and make an impact. Your unique perspective could be just what we need in our entrepreneurial environment!
We think you need these skills to ace GenAI Engineer in London
Some tips for your application š«”
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how your experiences and ideas can contribute to our innovative projects.
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the GenAI Engineer role. Use keywords from the job description to catch our attention and show youāre a perfect fit!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why youāre excited about this opportunity. Share specific examples of your work with AI agents or LLMs, and how you can help us tackle client challenges.
Apply Through Our Website: We encourage you to apply directly through our website. Itās the best way for us to receive your application and ensures youāre considered for this exciting role in our growing team!
How to prepare for a job interview at Infosys Consulting
āØKnow Your Tech Inside Out
Make sure youāre well-versed in the technologies mentioned in the job description, like Python and orchestration libraries such as LangChain or AutoGen. Brush up on your knowledge of LLMs and be ready to discuss how you've applied them in real-world scenarios.
āØShowcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed and implemented AI solutions. Think about challenges you faced and how you overcame them, especially in collaborative settings with cross-functional teams.
āØCommunicate Clearly and Confidently
Since the role involves presenting solutions to both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. This will demonstrate your exceptional communication skills and ability to engage diverse audiences.
āØBe Ready for Hands-On Demos
Expect to participate in practical assessments or demos during the interview. Prepare a few prototypes or examples of your work that showcase your hands-on experience with AI agents and enterprise applications, as this will highlight your technical prowess.