GenAI Engineer

Infosys Consulting; Germany (OH); On-site; USD 120,000 - 190,000; Full time

Job summary

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 Enterprise AI consulting practice, we seek technically hands-on professionals to design and deliver client-centric intelligent systems and support growth through strategic pre-sales and solutioning.

You will collaborate with AI strategists and architects, design modular code for task

Qualifications

• Bachelorachelors or Masteregree in Computer Science, AI, or related field; PhD preferred for architect-level roles.
• 3+ years in AI/ML with hands-on development of LLM-based applications and agentic systems.
• Strong experience with Python and orchestration libraries (LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar).
• Deep knowledge of LLMs, prompt engineering, agent memory, tool calling, and autonomous task execution.
• Experience with RFP/RFI support and proposal creation in a consulting environment.
• Understanding of enterprise cloud platforms (AWS, Azure, GCP) and data security best practices.
• Excellent communication and ability to present to technical and non-technical stakeholders.

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.

Skills

Python

LLMs

LangChain

Agentic systems

API integration

Education

Bachelorachelors or Masteregree in CS/AI

Tools

LangChain

LlamaIndex

Semantic Kernel

AutoGen

Job description

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.

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.