Senior AI Solutions Engineer

This role is part of the Jobright Direct Hiring Network, where top companies hire top talent directly through our platform. Hiring company: IMR Soft LLC.

About the company

IMR Soft is an outcomes-driven IT services firm delivering managed services, SAP transformation, AI-led engineering, cloud, data, and strategic resourcing across the U.S and India. The company serves regulated and complex sectors including banking, pharmaceuticals, life sciences, manufacturing, automotive, and telecom. With a hybrid U.S-India delivery model, IMR Soft operates leadership-led teams from its Princeton headquarters and India centers. Founded in 2017, it is a 100+ employee IT services firm with recurring enterprise and healthcare clients.

Pay

$65/hr - $70/hr

Responsibilities

• Design and deliver production-grade AI-enabled applications using modern full-stack and cloud-native patterns
• Build reusable AI frameworks and reference implementations (e.g., RAG, document processing, agent/workflow patterns)
• Integrate AI into enterprise platforms and workflows with strong engineering discipline (clean code, automation, observability, reliability)
• Use AI to accelerate delivery, reduce friction, and scale outcomes
• Implement applied GenAI patterns including RAG, prompt/tool orchestration, agentic workflows, and evaluation with guardrails
• Design model-agnostic solutions resilient to rapid AI ecosystem change
• Turn complex AI implementations into simple, repeatable patterns
• Mentor engineers; lead architecture and design reviews to raise quality and consistency
• Partner with stakeholders on requirements and shippable milestones
• Own DevOps hygiene (CI/CD, automated testing, telemetry, monitoring) and drive continuous improvement

Requirements

• AI-first builder mindset, designing reusable solutions for scale and impact, with clear technical communication
• 6+ years building and operating production full-stack systems at scale
• Hands-on experience with distributed, cloud-native architectures (APIs, data, event-driven systems)
• Strong foundation in system design, scalability, resiliency, security, and observability
• Hands-on, production experience building AI/GenAI-powered applications, not just experimentation or POCs
• Applied GenAI expertise including RAG, LLM integration/orchestration, prompt design, and evaluation/guardrails
• Proficiency in Java and/or Python with modern frameworks (e.g., Spring Boot, Python services)
• Experience with CI/CD, automated testing, and production observability

Preferred Qualifications

• Public cloud experience (Azure preferred)
• Experience building internal platforms, frameworks, or developer tooling
• Familiarity with vector databases, embeddings, Kafka, or high-volume messaging systems
• Experience in regulated or financial services environments
• Experience working with globally distributed engineering teams