Senior AI Solutions Engineer

About the role

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.

About IMR Soft LLC

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.

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

Required Qualifications

• 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