Infosys Consulting
Tech / AI / Software
GenAIEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“GenAI Engineer at Infosys Consulting. Skills: GenAI Engineer, AI agents, LLM-based applications, Python, LangChain, LLMs, prompt engineering, autonomous task execution. 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.”
Industry & Context.
solve and deliver against our clients' most important challenges
What They're Looking For.
Must Have
Bachelor’s or Master’s degree in Computer Science, AI, or related field., 3+ years in AI/ML, with recent experience in agentic systems and hands-on development of LLM-based applications., 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.
Nice to Have
PhD preferred for architect-level roles., 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.
What You'll Do.
Design and implement AI agents using LangChain
or AutoGen for enterprise-grade use cases.
Develop modular code for task decomposition
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
and reusable framework building.
Support pre-sales demos and client innovation sessions with hands-on prototypes.
How You'll Work.
Team & Collaboration
Collaborate with AI strategists and architects on project design and MVP delivery.; Participate in internal code reviews
Communication Scope
Exceptional communication and consulting skills, with the ability to present solutions to both technical and non-technical stakeholders.
Process & Methodology
MVP delivery
Full 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. **Requirements** ### 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 cal
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