Senior AI Solutions Engineer

This role is part of the Jobright Direct Hiring Network, where top companies like Cresta AI, Plaud, Mercor, OpenArt, and 1,500+ others hire top talent directly through our platform.





This is not a mass job posting. Only select, high-signal candidates are invited and recommended directly to hiring teams





Hiring Company: IMR Soft LLC





One-liner: 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.





Salary: $65/hr - $70/hr





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





• 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