AI Prompt Engineer AI Application Engineer

We are seeking a highly skilled AI Prompt Engineer / AI Application Engineer to design develop and deploy AI-driven digital solutions for Life Insurance business applications. The ideal candidate will possess strong full-stack development expertise along with hands-on experience in AI technologies agentic workflows prompt engineering and Large Language Model (LLM) integrations. 

This role will focus on building real-time AI-powered applications that enhance customer experience underwriting servicing claims processing agent productivity knowledge management and operational efficiency. 

The successful candidate will work closely with business stakeholders solution architects data engineers and digital product teams to deliver enterprise-grade AI solutions. 

This role is for someone who is based in the NYC Metro Area passionate about building real-world GenAI applications and bringing them into production while continuously improving performance reliability and user outcomes. 

Qualifications :

Responsibilities

AI & Prompt Engineering 

• Design develop and optimize prompts for Large Language Models (LLMs) including OpenAI Codex GPT Claude Gemini and other enterprise AI platforms. 

• Build AI-powered workflows copilots virtual assistants and intelligent agents for insurance business processes. 

• Develop Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge repositories and policy documentation. 

• Implement prompt testing evaluation and optimization frameworks to improve accuracy consistency and reliability. 

• Design agent-based solutions using tools skills plugins function calling workflows and orchestration frameworks. 

• Create reusable prompt libraries and AI solution accelerators. 

• Monitor AI performance metrics and continuously improve model outcomes. 

Application Development 

• Design and develop modern web applications using and related frontend technologies. 

• Build RESTful APIs and microservices using Python Flask. 

• Integrate AI services into enterprise digital applications. 

• Develop real-time applications supporting customer service underwriting policy servicing and claims workflows. 

• Implement authentication security and scalability best practices. 

Data & Integration 

• Connect AI applications to enterprise systems through APIs and service layers. 

• Work with structured and unstructured data sources supporting AI use cases. 

Architecture & Delivery 

• Participate in AI solution architecture and technology selection. 

• Conduct proof-of-concepts and rapid prototypes. 

• Collaborate with cloud data and application teams. 

• Follow DevOps CI/CD and Agile development practices. 

• Maintain documentation technical specifications and AI governance controls. 

Education 

• Bachelors Degree in Computer Science Information Technology Engineering Data Science or related discipline. 

Experience 

• Minimum 4 years of software engineering experience. 

• Minimum 2 years developing AI-powered applications or Generative AI solutions. 

• Experience in Life Insurance Financial Services or regulated industries is highly preferred. 

Technical Skills / Exposure 

• Front-End Development 

• JavaScript / TypeScript 

• HTML5 / CSS3 

• Responsive UI development 

• Backend Development 

• Python 

• Flask API Development 

• REST APIs 

• Microservices Architecture 

• Database Technologies 

• SQL Server PostgreSQL MySQL or Oracle 

• Database design and optimization 

• Query performance tuning 

• AI & Generative AI 

• Prompt Engineering 

• Large Language Models (LLMs) 

• OpenAI GPT/Codex 

• Anthropic Claude 

• Google Gemini 

• AI Agents and Agentic Workflows 

• RAG (Retrieval Augmented Generation) 

• Vector Databases 

• Embeddings 

• Fine-Tuning Concepts 

• Model Evaluation Techniques 

• Tool Calling and Function Calling 

• AI Frameworks & Tools 

• Claude (co-work code and design) 

• Microsoft Copilot Studio 

• AI Skills and Plugin Development 

• Workflow Orchestration Frameworks 

• Cloud & DevOps 

• Git/GitHub 

• Azure DevOps 

• CI/CD Pipelines 

Desired Competencies 

• Strong analytical and problem-solving abilities. 

• Ability to quickly learn emerging AI technologies. 

• Excellent communication and stakeholder engagement skills. 

• Strong understanding of responsible AI practices. 

• Ability to work independently in a fast-paced environment. 

• Strong focus on solution quality scalability and business outcomes. 

Additional Information :

Success Criteria 

Within the first 6 months the candidate will: 

• Deliver production-ready AI-powered digital applications. 

• Build reusable prompt engineering frameworks and AI accelerators. 

• Develop real-time AI agents supporting insurance operations. 

• Improve operational efficiency and customer experience through Generative AI solutions. 

• Establish best practices for AI application development governance and monitoring. 

Benefits 

• Competitive salary with equity options 

• Robust health dental and vision benefits for employee and dependents 

• 401k matching contributions 

• Generous PTO policy 

• Provided work-from-home equipment  

Afficiency is an Equal Opportunity Employer. All your information will be kept confidential according to EEO guidelines. 

Remote Work :

No

Employment Type :

Full-time