Senior AI Solutions Engineer

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. Founded in 2017, the company has 100+ employees with a hybrid U.S.-India delivery model, leadership-led teams across Princeton headquarters and India centers, and serves regulated and complex sectors including banking, pharmaceuticals, life sciences, manufacturing, automotive, and telecom with recurring enterprise and healthcare clients.

Why Join Us

• Outcomes-driven technology partner across managed services, SAP transformation, AI engineering, cloud operations, and data analytics
• Serves regulated and complex sectors including banking, pharmaceuticals, life sciences, manufacturing, automotive, and telecom
• Hybrid U.S.-India delivery model with leadership-led teams across Princeton headquarters and India centers
• Founded in 2017, 100+ employee IT services firm with recurring enterprise and healthcare clients

Role 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

Qualifications Required

• 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

Pay

$65/hr - $70/hr