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For Companies At a Glance
- Tasks: Design and implement AI agents for real-world business solutions.
- Company: Join a leading tech firm at the forefront of AI innovation.
- Benefits: Competitive salary, flexible work options, and growth opportunities.
- Why this job: Be part of a dynamic team solving important challenges with cutting-edge technology.
- Qualifications: Degree in Computer Science or related field; experience in AI/ML required.
- Other info: Collaborative environment with 300,000 employees and excellent career advancement.
The predicted salary is between 60000 - 80000 £ 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 behaviour 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.
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 folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that GenAI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI agents or LLM applications. We want to see your hands-on experience, so make sure to highlight any cool prototypes or demos you've worked on.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both techies and non-techies. We’re all about collaboration here!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and eager to join our dynamic team.
We think you need these skills to ace GenAI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the GenAI Engineer role. Highlight your hands-on experience with AI/ML, especially in agentic systems and LLM-based applications. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our mission at StudySmarter. Don’t forget to mention any relevant projects or achievements that showcase your expertise.
Showcase Your Technical Skills: In your application, be sure to highlight your proficiency in Python and any orchestration libraries you've worked with, like LangChain or AutoGen. We love seeing examples of your coding prowess, so feel free to include links to your GitHub or any relevant projects.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, we love seeing candidates who take the initiative to connect with us directly!
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 Python and orchestration libraries such as LangChain or AutoGen. Brush up on your knowledge of LLMs and be ready to discuss how you've used them in past projects.
✨Showcase 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 a consulting context. This will demonstrate your hands-on experience and strategic thinking.
✨Communicate Clearly and Confidently
Since the role involves presenting solutions to both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Use clear examples to illustrate your points and ensure you can engage with a diverse audience.
✨Prepare for Collaborative Scenarios
Expect questions about teamwork and collaboration, especially with AI strategists and architects. Be ready to share experiences where you’ve worked in a team to deliver client-centric solutions, highlighting your ability to contribute ideas and support business growth.