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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Infosys - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Cyber Security, Continuous Integration, Elasticsearch, Github, Design of User Interfaces, Python (Programming Language), OpenShift, Redis, Search Technologies, Software Deployment, Software Engineering, TypeScript, User-Centered Design, Chatbots, GitHub Copilot, ReactJS, Delivery Pipeline, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Generative AI, Backend, Kubernetes, Machine Learning Operations, Front End Software Development - **Published:** September 24, 2026 - **Apply:** https://www.juju.com/job/16_fb144cf23 ## About the Role * 10+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education * Expert-level proficiency in: + Python (AI/ML, backend, orchestration) + TypeScript and modern React frameworks * Experience building solutions using: + OpenAI, Anthropic, Google (Vertex AI), GitHub Copilot / GitHub ecosystem * Hands-on experience deploying applications using: + OCP/OpenShift, , Kubernetes, CI/CD pipelines * Proven ability to lead multiple engineering pods and mentor engineers across levels. * Comfortable executing Agile methodologies across short sprint cycles. * Strong understanding of: + Cybersecurity controls + Model risk management + Compliance requirements in regulated financial-services environments, * Experience building high-availability banking or financial applications. * Familiarity with vector databases, embeddings, search systems (e.g., ChromaDB,, Elasticsearch, Redis Vector). * Understanding of evaluation frameworks for LLM outputs (hallucination detection, guardrails, red-teaming). * Exposure to MLOps fundamentals and responsible AI concepts. ## Description · Lead end-to-end design and development of AI systems including chatbots, Retrieval Augmented Generation (RAG) platforms, autonomous agents, and workflow automation tools. · Drive complex, multi-domain AI initiatives, ensuring technical excellence across backend services, front-end experiences, and AI model integrations. · Architect scalable and secure, AI solutions leveraging Google, OpenAI, Anthropic, Vertex AI, and GitHub's AI ecosystem. · Oversee enterprise-grade deployment pipelines using OpenShift (OCP), Kubernetes, and robust CI/CD patterns to ensure reliable production delivery. · Establish engineering best practices across Python, TypeScript, and React for modern, AI-enabled applications. · Guide prompt engineering, skill engineering, and model evaluation approaches including guardrails, observability, red teaming, and hallucination detection. · Lead and mentor engineering pods , providing technical direction, career development, and architectural guidance. · Ensure systems are fully observable, monitored, and resilient, integrating fallback logic and safety controls to mitigate model and system failures. · Partner closely with UI/UX, platform, cybersecurity, and governance teams to deliver compliant, user-centric, and secure AI solutions at enterprise scale. · Collaborate with business stakeholders and product owners to align AI capabilities with strategic outcomes and define delivery roadmaps. · Ensure compliance with cybersecurity, data privacy, and model risk management standards required in regulated financial-services environments. · Resolve complex technical issues, escalating and troubleshooting challenges across AI pipelines, backend services, front-end apps, and infrastructure. · Lead Agile delivery processes, driving sprint execution, backlog prioritization, risk mitigation, and cross-team coordination. · Be well versed in emerging AI technologies, staying current with LLM advancements, evaluation techniques, vector search, and responsible AI practices. · Collaborate and influence across all levels, including senior managers, platform teams, and cross-functional partners to advance the AI engineering strategy., Technical Leadership * Lead end-to-end design and implementation of AI systems including chatbots, Retrieval-Augmented Generation (RAG), autonomous agents, and workflow automation tools. * Architect scalable, secure solutions leveraging industry-leading AI providers (OpenAI, Anthropic, Google Vertex AI, GitHub Copilot). * Oversee production deployment pipelines using OCP (OpenShift Container Platform) for containerization, orchestration, and runtime operations. * Define best practices for Python, TypeScript, and React development within AI-enabled applications. Project Delivery & Team Management * Manage and mentor pod teams (approx. 4 / 6 engineers each), ensuring high-quality execution and technical rigor. * Drive delivery roadmaps, project sequencing, and risk mitigation across multiple concurrent AI initiatives. * Partner with UI/UX designers to build intuitive, compliant, and enterprise-ready user experiences. * Guide prompt engineering, skill engineering, and evaluation frameworks for AI model tuning and safety. ## Related Videos - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [The AI-Ready Stack: Rethinking the Engineering Org of the Future](https://www.wearedevelopers.com/videos/1706-the-ai-ready-stack-rethinking-the-engineering-org-of-the-future) - [Accelerating Authentication Architecture: Taking Passwordless to the Next Level](https://www.wearedevelopers.com/videos/733-accelerating-authentication-architecture-taking-passwordless-to-the-next-level) - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)