Generative AI Engineer

🕒 May 8

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🗣️ LLM Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 41%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Research, design, develop, and deploy innovative AI/ML and Generative AI solutions across mission-focused problem sets • Develop advanced AI capabilities using large language models, retrieval-augmented generation, Model Context Protocol servers, agentic workflows, and cloud-native AI services including AWS Bedrock • Work as part of a technical team to design, develop, implement, and transition AI/ML and Generative AI capabilities meeting client operational requirements • Participate in all phases of the software engineering lifecycle, including research, requirements analysis, solution design, model development, integration, deployment, evaluation, and testing • Collaborate within a distributed development team in a dynamic, agile, fast-paced environment

🎯 Requirements

• Bachelor's [Master's / PhD] Degree in Computer Science, Math, Engineering, or related field • 6+ [4+ / 2+] years of work-related experience with applied machine learning, data science, software engineering, or AI/ML system development • Experience designing, developing, or deploying machine learning, Generative AI, or data-driven software solutions • Experience developing solutions using Python and common AI/ML or data science libraries such as pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, LangChain, LlamaIndex, or similar frameworks • Familiarity with large language models and Generative AI concepts, including prompt engineering, embeddings, vector databases, retrieval-augmented generation, model evaluation, and responsible AI considerations • Experience designing or integrating LLM-based applications • Experience using cloud services to build, deploy, or manage AI/ML solutions • Understanding of machine learning concepts, including data preprocessing, feature engineering, model training, model evaluation, performance metrics, and model deployment best practices • Strong written and verbal communication skills • Proficiency with Microsoft Office tools, including Word, Excel, PowerPoint, and Outlook • Secret Clearance • Experience working in an Agile development lifecycle • Experience developing Generative AI solutions using AWS Bedrock • Familiarity with Model Context Protocol and MCP servers • Experience with retrieval-augmented generation architectures • Experience with agentic AI workflows, tool-calling, function-calling, or orchestration frameworks • Experience evaluating LLM or RAG-based systems • Experience deploying AI/ML solutions using AWS, Docker, Kubernetes, CI/CD pipelines, Terraform, or similar tools • Experience with Git, GitLab, GitHub, or Bitbucket • History of academic publications, conference presentations, technical reports, demos, or client-facing briefings

🏖️ Benefits

• Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities • Incentives that encourage positive and productive behaviors • Fair and respectful corporate culture • Distributed/remote work environment