Agentic AI Platform Engineer (PL862)

Job summary

Paralucent is seeking an experienced Agentic AI Platform Engineer to support a major client in the banking sector. The role involves hands-on design, development, integration, and execution of AI-driven initiatives focused on agentic AI and cloud platforms.

Qualifications

• Proven experience as a Software Developer, AI Engineer, Platform Engineer, Cloud Developer, Full-Stack Developer, or similar hands-on technical role within complex enterprise technology environments.
• Demonstrated experience designing and building software solutions, APIs, integrations, workflow automations, or platform components.
• Experience developing solutions within technically complex environments involving cloud platforms such as AWS and/or Azure, enterprise integrations, and modern software delivery practices.
• Practical experience or strong exposure to Artificial Intelligence (AI), Generative AI (GenAI), Agentic AI, LLM-enabled applications, intelligent automation, or AI-assisted workflow solutions.
• Strong programming experience with languages such as Python, TypeScript, JavaScript, Java, C#, or similar modern development languages.
• Ability to translate business requirements, architecture direction, and delivery plans into working technical solutions.
• Experience working with APIs, databases, cloud services, enterprise applications, document repositories, or workflow platforms.
• Strong understanding of software development lifecycle practices, including design, development, testing, deployment, and support.
• Ability to effectively partner with Delivery Managers, architects, technical leads, business analysts, QA teams, and client stakeholders.
• Strong problem-solving, communication, and execution skills in ambiguous, fast-moving enterprise environments.

Responsibilities

• Design, develop, and implement agentic AI workflows, AI-enabled services, prototypes, and production-ready platform components.
• Build solutions that support enterprise workflows, business process transformation, intelligent automation, and human-in-the-loop execution.
• Implement agentic patterns involving task planning, tool/API usage, workflow orchestration, validation, exception handling, and escalation.
• Develop cloud-native applications, services, APIs, and integrations using AWS and/or Azure.
• Build reusable platform components, connectors, services, and integration patterns that support scalable AI platform delivery.
• Partner with architects and technical leads to ensure solutions align with enterprise architecture, security, cloud, and operational standards.
• Implement solutions using Artificial Intelligence (AI), Generative AI (GenAI), Large Language Models (LLMs), and agentic AI frameworks or patterns.
• Develop prompt strategies, structured outputs, tool-calling workflows, retrieval-augmented generation patterns, and AI validation approaches.
• Integrate AI-enabled workflows with enterprise applications, APIs, databases, document repositories, and workflow platforms.
• Build automation and integration components that connect AI capabilities to business processes and operational systems.
• Work closely with the Delivery Manager to execute against delivery plans, milestones, sprint priorities, and release timelines.
• Write clean, maintainable, secure, and well-documented code.
• Develop unit tests, integration tests, validation routines, and AI output evaluation approaches.

Skills

Relocation