Generative AI Engineer , Afficiency
$100-120k
+ Equity
API-delivered life insurance products for digital distributors
Be an early applicant
API-delivered life insurance products for digital distributors
21-100 employees
Be an early applicant
$100-120k
+ Equity
21-100 employees
Company mission
To reinvent life insurance products and the life insurance buying process.
Role
Who you are
- Bachelor's 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
- React.js
- 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
Desirable
- 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
What the job involves
- 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
- 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
- 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
Our take
Afficiency is aiming to streamline the life insurance purchasing process by offering digital distributors a platform which allows them to quote, underwrite and deliver policies in minutes via API.
Considering that on average, it takes between three and six weeks to get life insurance, Afficiency is clearly on to something with its platform. The fact that its solutions are delivered via API is also key, as it allows sellers to continue operating on their own native stacks.
The nearly $4 billion insurtech market is extremely competitive, but the background of Afficiency’s leadership team offers encouragement - as both co-founders have experience in the sector. With this solid foundation of expertise, and plenty of room to grow, Afficiency's future looks bright.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Apr 2022
$7m
SERIES A
Mar 2020
$3.2m
SEED
Total funding: $10.2m
Company benefits
- Hybrid work arrangement
- Robust health, dental, and vision benefits for employee and dependents
- 401k matching contributions
- Generous PTO policy
- Stipend to purchase work-from-home equipment
- Environment to learn from other team members, grow a business from the ground up
- Support in developing your skills and accelerating your career quickly
Company HQ
Tribeca, New York, NY
Leadership
Mark Scafaro
(Co-Founder & CEO)Previously MetLife's Head of Customer Acquisition & Servicing for three years prior to Afficiency, following 11 years at American Express, which culminated in a spell as Vice President of Operations.
Ravi Arasan
(Co-Founder)Founder of BDIPlus and modenX. Previously spent 17 years at American Express, operating in a range of Senior and Executive positions.
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