Hiring: Senior AI Engineer Company: Coaction Global Location: Morristown, NJ Job Posted Time: 2026-09-17 09:52:46 Target Skills & Keywords : AI, AWS, Azure, C#, CI/CD, Data Pipeline, Java, LLM, MLOps, Python, RAG, REST About the job Experience: •5+ years of software engineering experience building production systems (APIs, services, data pipelines, or enterprise integrations). Required Skills: •Implement AI-enabled features, services, and APIs that integrate into existing enterprise workflows and applications, while adhering to established engineering, architecture, and security practices. •Design and build integration patterns for external AI services (LLMs and ML APIs), including secure data handling, access controls, and auditability. •Develop and maintain retrieval-augmented generation (RAG) solutions for document-heavy workflows (e.g., submissions, endorsements, claims documentation) using enterprise data sources. •Partner cross-functionally with Architecture and Engineering to support the implementation of an Agentic AI platform reference architecture and implementation •Create reusable AI components including Agentic Platform components to accelerate delivery across multiple use cases. •Partner with architecture, engineering, data, and business stakeholders to translate needs into solution designs, requirements, and delivery plans. •Establish AI engineering best practices for testing and evaluation (quality, safety, regression testing), and incorporate them into CI/CD pipelines. •Implement monitoring and observability for AI solutions (latency, cost, quality signals, guardrail events) and define operational runbooks. Qualifications: •Bachelor’s or Master’s Degree in Computer Science, Information Systems, or related field, or equivalent work experience. •Strong proficiency in at least one production language such as Python, C#, Java, or similar. •Hands-on experience implementing LLM-based solutions (prompting, structured outputs, tool/function calling) and/or ML-enabled services. •Solid functional working knowledge of RAG concepts (embeddings, vector search, grounding/citations); experience with vector databases or enterprise search platforms is a plus. •Awareness of LLMOps/MLOps practices: versioning, evaluation, monitoring, incident response, and change control. •Strong engineering hygiene: source control, code review, automated testing, CI/CD, and performance monitoring. •Understanding of AI risk and security considerations (prompt injection, data privacy/PII handling, vendor/model risk management) in regulated environments. •Effective verbal and written communication skills; ability to translate business needs into technical solutions. Compensation: •$140,000 - $190,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!