GenAI Engineer

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🔥 43 minutes ago

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Infosys

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1981

🏢 Enterprise

💼 Consulting

🤖 Artificial Intelligence

💰 $200M Post-IPO Equity on 2008-07

Enterprise • Consulting • Artificial Intelligence

Infosys is a global leader in next-generation digital services and consulting, providing a wide range of solutions to enterprises across various industries. With expertise in AI, cloud computing, application development, and business process management, Infosys drives digital transformation for its clients, helping them navigate their digital journey with innovative offerings. The company collaborates with numerous partners to enhance business operations and has a significant presence in over 56 countries. It also focuses on developing new-age solutions in areas like blockchain, IoT, and generative AI to deliver value to businesses worldwide.

📋 Description

• Design and implement enterprise-grade AI agents using LangChain, CrewAI, or AutoGen. • Develop modular code for task decomposition, memory handling, and API tool integration. • Collaborate with AI strategists and architects on project design and MVP delivery. • Test and fine-tune agent behavior using LLM APIs and embeddings. • Participate in code reviews, documentation, and reusable framework development. • Support pre-sales demos and client innovation sessions with hands-on prototypes. • Contribute to strategic pre-sales and solutioning initiatives supporting business growth.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, AI, or a related field required; PhD preferred for architect-level roles. • 3+ years of experience in AI/ML, including recent agentic systems and hands-on LLM application development. • Strong Python experience and proficiency with orchestration libraries such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar. • Deep knowledge of LLMs including GPT, Claude, LLaMA, and Mistral. • Experience with prompt engineering, agent memory, tool calling, and autonomous task execution. • Experience supporting RFP/RFI processes and creating proposals in consulting or enterprise services environments. • Understanding of enterprise solutioning with AWS, Azure, or GCP; API integration; and data security best practices. • Exceptional communication and consulting skills for presenting solutions to technical and non-technical stakeholders. • Preferred: proficiency in Java, Spring, Maven, JSON, and object-oriented programming. • Preferred: hands-on exposure to cognitive architectures, planning-based agents, or reinforcement learning in real-world deployments. • Preferred: experience integrating AI agents with Salesforce, ServiceNow, SAP, or custom applications via APIs. • Preferred: understanding of AI observability, performance monitoring, and ethical guidelines in GenAI systems.

🏖️ Benefits

• Industry-leading compensation and benefits • Top training and development opportunities • Dedicated training and career paths • Inclusive and entrepreneurial culture • Global reach and opportunities to work with market-leading brands across sectors