Senior AI Engineer

Coaction Specialty Insurance Group; Morristown (NJ); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Paid time off

Medical and dental benefits

Retirement plan

Job summary

Coaction Specialty Insurance Group is seeking a Senior AI Engineer in Morristown, NJ, to enhance our digital capabilities in insurance through AI innovation. This pivotal role will focus on building AI-powered solutions, collaborating with diverse teams to implement best practices and operational runbooks in a regulated environment.

The ideal candidate will possess over 5 years of software engineering experience, strong proficiency in a production language, and hands-on experience with LLM-based services. Competitive salary and benefits offered, fostering a dynamic work culture.

Qualifications

• 5+ years of software engineering experience in production systems.
• Strong proficiency in a production language like Python, C#, or Java.
• Hands-on experience with LLM-based solutions.

Responsibilities

• Implement AI-enabled features and APIs integrating them into enterprise applications.
• Design integration patterns for AI services and secure data handling.
• Collaborate with stakeholders to design and deliver AI solutions.

Skills

Python

Software engineering

API integration

ML-enabled services

Cloud platforms (AWS/Azure)

Communication skills

Education

Bachelor’s or Master’s Degree in Computer Science or related field

Tools

Vector databases

Cloud services (AWS, Azure)

Job description

## Senior AI EngineerApplylocations: Morristown, NJtime type: Full timeposted on: Posted 2 Days Agojob requisition id: JR100949At Coaction, we’re a unique mix of leaders, achievers, thinkers, and team players with a high-performance mindset and a diverse skillset. We bring our industry expertise together to continually push the boundaries of what insurance can be for our clients.At Coaction, innovation is key to our continued success and growth. As we expand our digital and data capabilities, Artificial Intelligence will play a critical role in enhancing underwriting, operations, and customer experience. We believe the best solutions happen when product, engineering, data, security, and the business partner as one integrated team—open to ideas, ready to challenge the status quo, and focused on delivering measurable outcomes in a regulated industry.This is our first dedicated AI Engineering role. This role will be instrumental in shaping how we design, build, deploy, and operate AI-powered solutions safely and responsibly. The ideal candidate is pragmatic and hands-on—focused on putting AI into production (not research-only)—and comfortable building repeatable patterns, playbooks, and guardrails from the ground up.# Responsibilities* 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.* Collaborate 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.* Collaborate with others to support AI governance controls (vendor/model intake, risk reviews, documentation, and change management).* Contribute to security hardening for AI systems, including safeguards against prompt injection, data leakage, and misuse.* Document designs and deliver knowledge transfer to broaden internal capability and reduce reliance on external partners over time.* Stay up to date with AI engineering tools, platforms, and patterns and recommend pragmatic adoption aligned to business value and risk posture.# Qualifications* 5+ years of software engineering experience building production systems (APIs, services, data pipelines, or enterprise integrations).* 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.* Experience integrating third-party APIs and services; strong understanding of distributed systems, REST/JSON, and authentication/authorization patterns.* Hands-on experience implementing LLM-based solutions (prompting, structured outputs, tool/function calling) and/or ML-enabled services.* 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.* Experience with cloud platforms (AWS and/or Azure) and production operations (secrets management, logging/monitoring, cost controls).* 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.Salary range specific to for this role : $140,000-$190,000 + discretionary incentive bonus + benefits depends on various factors including, without limitation, individual and organizational performance. The offered rate of compensation will be based on individual education, experience, and qualifications. In addition, employees are eligible for standard benefits package including paid time off, medical, dental and retirement.