Generative AI Engineer

Afficiency•New York, NY

2d•$100,000 - $120,000•Onsite

About The Position

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.

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or related discipline.
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.
React.js
JavaScript / TypeScript
HTML5 / CSS3
Responsive UI development
Python
Flask API Development
REST APIs
Microservices Architecture
SQL Server, PostgreSQL, MySQL, or Oracle
Database design and optimization
Query performance tuning
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
Claude (co-work, code and design)
Microsoft Copilot Studio
AI Skills and Plugin Development
Workflow Orchestration Frameworks
Git/GitHub
Azure DevOps
CI/CD Pipelines
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.

Responsibilities

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.
Design and develop modern web applications using React.js 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.
Connect AI applications to enterprise systems through APIs and service layers.
Work with structured and unstructured data sources supporting AI use cases.
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.