Applied AI Engineer

7Seventy; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Annual bonus

Equity

401(k) plan

Life insurance

Paid time off

Remote work

Job summary

7Seventy is seeking an Applied AI Engineer to build AI-powered features in a production SaaS platform. You will design prompts, develop Python backends, and integrate LLM capabilities, working with PostgreSQL and vector data systems in a FastAPI environment.

The role focuses on applying generative AI to real-world software, not research, with remote-first flexibility and a path to impactful customer-facing capabilities in a fintech/B2B SaaS context.

Qualifications

• 3+ years of professional software engineering experience.
• Proven proficiency using AI-powered coding tools, with Anthropic Claude Code preferred.
• Experience building backend services or REST APIs.
• Experience integrating LLM APIs, generative AI services, or AI-enabled capabilities into production applications.
• Strong problem-solving, analytical, and debugging skills.
• Ability to collaborate effectively within cross-functional engineering teams.
• When applying, include a brief description of one AI-powered feature, service, or production system you helped build or support.

Responsibilities

• Build and enhance AI-powered product features in collaboration with engineering and product teams.
• Write, refine, and optimize prompts to improve AI response quality and overall feature performance.
• Develop Python-based backend services and APIs that support AI workflows and production applications.
• Work with structured data stored in PostgreSQL and vector-based data systems that support AI applications.
• Contribute to feature implementation within FastAPI-based application environments.
• Use AI-assisted development tools to improve engineering productivity, software quality, and experimentation.
• Participate in technical discussions involving AI feature design, architecture, and implementation.

Skills

Python

Backend development

LLM integration

Prompt design

PostgreSQL

FastAPI

Tools

Anthropic Claude Code

Job description

This opportunity is for an Applied AI Engineer responsible for building and expanding AI-powered product features within a production SaaS platform. The primary focus is enhancing AI-driven customer experiences by developing practical generative AI capabilities that deliver measurable value in production environments.

This role combines Python development, backend engineering, prompt design, structured data processing, and AI application development while collaborating closely with engineering and product teams to deliver reliable, customer-facing AI functionality.

This position is best suited for an engineer who enjoys applying generative AI to real-world software products rather than conducting research or developing foundation models.

What You'll Do

• Build and enhance AI-powered product features in collaboration with engineering and product teams.
• Write, refine, and optimize prompts to improve AI response quality and overall feature performance.
• Develop Python-based backend services and APIs that support AI workflows and production applications.
• Work with structured data stored in PostgreSQL and vector-based data systems that support AI applications.
• Contribute to feature implementation within FastAPI-based application environments.
• Use AI-assisted development tools to improve engineering productivity, software quality, and experimentation.
• Participate in technical discussions involving AI feature design, architecture, and implementation.

What Success Looks Like

• Deliver meaningful AI-powered product features within the first 60 to 90 days.
• Improve the usability, reliability, and quality of AI-generated capabilities.
• Contribute effectively within sprint-based software development cycles.
• Demonstrate sound technical judgment while balancing development speed, software quality, reliability, and maintainability.

Qualifications

Required

• 3+ years of professional software engineering experience.
• Proven proficiency using AI-powered coding tools, with Anthropic Claude Code preferred.
• Experience building backend services or REST APIs.
• Experience integrating LLM APIs, generative AI services, or AI-enabled capabilities into production applications.
• Strong problem-solving, analytical, and debugging skills.
• Ability to collaborate effectively within cross-functional engineering teams.
• When applying, include a brief description of one AI-powered feature, service, or production system you helped build or support.

Preferred

• Experience with FastAPI or similar backend frameworks.
• Familiarity with prompt evaluation or LLM testing methodologies.
• Experience integrating AI capabilities into production SaaS platforms.
• Experience working in fintech or B2B SaaS environments.
• Annual performance bonus eligibility.
• Equity participation.
• 401(k) plan with company contribution.
• Life insurance coverage.
• Paid time off.
• Additional benefits provided under applicable company benefit plans.
• Opportunity to build meaningful AI-powered technology used in a live production SaaS platform.
• Remote-first work environment.