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