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Manhattan, NY · On-site +1
Build RESTful APIs and microservices using Python Flask. * Integrate AI services into enterprise ... Follow DevOps, CI/CD, and Agile development practices. * Maintain documentation, technical ...
Generative AI Engineer
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Python Developer | AI & Copilot Studio
New York, NY · On-site
$100K/yr
Python Developer - AI & Copilot Studio Location: New York City, NY (Hybrid) Salary: $100,000 ... Experience with at least one Python framework such as Django, Flask, FastAPI, or similar.
Python Developer | AI & Copilot Studio
New York, NY · On-site
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Python Developer
$60K/yr
... with Python, Django, Flask and distributed system frameworks such as Apache Zookeeper Prior ... Developer: 5-10year
Python Developer
$60K/yr
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Jersey City, NJ · Remote
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Quick apply
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Jersey City, NJ · Remote
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Senior Backend Engineer, Ambient AI
New York, NY · Remote
$170K - $230K/yr
Work with a stack that includes Python, Flask, Django, FastAPIs and other frameworks * Work ... Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent ...
Quick apply
Senior Backend Engineer, Ambient AI
New York, NY · Remote
$170K - $230K/yr
Work with a stack that includes Python, Flask, Django, FastAPIs and other frameworks * Work ... Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent ...
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Quick apply
PYTHON FULL STACK DEVELOPER WITH AZURE DATABRICKS EXPOSURE LOCATION: CHARLOTTE, NC OR JERSEY CITY ... Hands-on with Python web frameworks such as Django, Flask, or FastAPI. * Experience working on SQL ...
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New York, NY · On-site
$55 - $75.75/hr
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Python Developer
New York, NY · On-site
$55 - $75.75/hr
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Python Developer
New York, NY · On-site
$55 - $75.75/hr
As an intermediate-level Python developer in data engineering, you'll design, build, and maintain ... Experience with data libraries(e.g., Django, Flask, NumPy, Pandas). * Familiarity with(e.g ...
Python Developer
New York, NY · On-site
$55 - $75.75/hr
As an intermediate-level Python developer in data engineering, you'll design, build, and maintain ... Experience with data libraries(e.g., Django, Flask, NumPy, Pandas). * Familiarity with(e.g ...
Python Developer
New York, NY · On-site
$55 - $75.75/hr
As an intermediate-level Python developer in data engineering, you'll design, build, and maintain ... Experience with data libraries(e.g., Django, Flask, NumPy, Pandas). * Familiarity with(e.g ...
Python Developer
New York, NY · On-site
$55 - $75.75/hr
As an intermediate-level Python developer in data engineering, you'll design, build, and maintain ... Experience with data libraries(e.g., Django, Flask, NumPy, Pandas). * Familiarity with(e.g ...
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Jersey City, NJ · On-site
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Python Developer
Jersey City, NJ · On-site
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Manhattan, NY · On-site
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Founding Engineer
Manhattan, NY · On-site
$100K - $180K/yr
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Principal Python Engineer
Warren, NJ · On-site
$140K/yr
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Principal Python Engineer
Warren, NJ · On-site
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Onshore Python Developer - Only W2
Warren, NJ · On-site
$52.25 - $72/hr
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Quick apply
Onshore Python Developer - Only W2
Warren, NJ · On-site
$52.25 - $72/hr
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Full Stack Python Developer
New York, NY · On-site
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Full Stack Python Developer
New York, NY · On-site
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Junior Python Flask Developer information
Are Junior Python Flask Developers still in demand?
What does a junior Python Flask developer do?
What are the key skills and qualifications needed to thrive as a junior Python Flask developer, and why are they important?
What are some common challenges faced by junior Python Flask developers when working on team-based projects?
What is the difference between Junior Python Flask Developer vs Junior Django Developer?
| Aspect | Junior Python Flask Developer | Junior Django Developer |
|---|---|---|
| Required Credentials | Python knowledge, basic web development skills, possibly some certifications | Python knowledge, Django framework familiarity, certifications optional |
| Work Environment | Startups, small teams, flexible projects | Web development companies, larger teams, structured projects |
| Industry Usage | Web apps, microservices, APIs | Full-stack web applications, content management systems |
| Common Search Intent | Compare entry-level Python web frameworks | Entry-level Django web development roles |
Both roles are entry-level Python web development positions, often requiring similar foundational skills. The main difference lies in the frameworks used: Flask is lightweight and flexible, suitable for microservices and APIs, while Django is more comprehensive, ideal for full-stack web applications. Your choice depends on the project type and your preferred development environment.
- Overnight Full Stack Python Developer
- Junior Python Developer
- Day Shift Freelance Python Django Developer
- Senior Python Developer
- Python Programmer
- Contractual Python Django Developer
- Temporary Full Stack Python Developer
- Entry Level Python Developer
- Internship Retrieval Augmented Generation
- Python Developer

Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 5 days ago
Job description
Afficiency is a rapidly growing Insurtech startup whose mission is to provide life insurance to everyone on the platforms they already trust. Located in NYC, we design life insurance products that can be purchased entirely digitally and can be easily embedded into distribution platforms or with agents who sell insurance. The company is experiencing rapid growth and is well-funded. We are looking for new team members to join us on our journey to shake up the life insurance industry. We need individuals who bring passion, curiosity, and a desire for excellence.
Job Description
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 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.
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
- 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
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.
About Afficiency
Sourced by ZipRecruiter
Industry
Insurance services
Company size
11 - 50 Employees
Headquarters location
New York, NY, US
Year founded
2017