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- Tasks: Design and implement AI agents for real-world business solutions.
- Company: Join Infosys Consulting, a leader in applied AI innovation.
- Benefits: Competitive pay, top-notch training, and career growth opportunities.
- Why this job: Be part of a dynamic team solving important challenges with cutting-edge technology.
- Qualifications: Degree in Computer Science or AI; experience in AI/ML and LLM applications.
- Other info: Inclusive culture with global reach and recognition as a top employer.
The predicted salary is between 36000 - 60000 £ 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 hands‑on 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 hands‑on 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
- Hands‑on exposure to cognitive architectures, planning‑based 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, IC‑LIFE, form a common code that helps us move forward. IC‑LIFE stands for Inclusion, Equityand 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 the 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!
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GenAI Engineer employer: Infosys Consulting
Contact Detail:
Infosys Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Engineer
✨Tip 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.
✨Tip Number 2
Show off your skills! Prepare a portfolio of projects that highlight your experience with AI agents, Python, and LLMs. This will give you a leg up during interviews and show that you're ready to hit the ground running.
✨Tip Number 3
Practice makes perfect! Get comfortable discussing your technical knowledge and problem-solving skills. Mock interviews with friends or mentors can help you articulate your thoughts clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows your genuine interest in joining our dynamic team at Infosys Consulting.
We think you need these skills to ace GenAI Engineer
Some tips for your application 🫡
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. We love seeing specific examples of your work with AI agents and programming languages like Python.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re excited about joining our team. Share your thoughts on how you can help tackle our clients' challenges and what makes you a great fit for our entrepreneurial culture.
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.
How to prepare for a job interview at Infosys Consulting
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like LangChain and LLMs. Brush up on your Python skills and be ready to discuss how you've used these tools in real-world applications.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex challenges in AI/ML projects. Be ready to explain your thought process and the impact of your solutions, especially in client-centric scenarios.
✨Communicate Clearly and Confidently
Practice explaining technical concepts in a way that non-technical stakeholders can understand. This will demonstrate your exceptional communication skills, which are crucial for this role.
✨Engage with the Company Culture
Familiarise yourself with Infosys Consulting's core values, IC-LIFE. Be prepared to discuss how your personal values align with theirs and how you can contribute to their inclusive and entrepreneurial culture.
