AI Software Developer

Responsedga Technology And Marketing Inc.; New York (NY); On-site; USD 100,000 - 150,000; Full time

Job summary

Responsedga Technology And Marketing Inc. in New York is seeking a skilled engineer to turn AI research into robust production systems. Your role involves the development of LLM integrations, API development for AI-powered optimization, and managing cloud-native ML ops. Candidates should possess 3+ years of experience building production AI/ML systems and strong proficiency in Python and cloud infrastructure, ideally AWS or GCP.

This exciting opportunity allows you to contribute to innovative growth marketing solutions and be part of a team that values fast iteration and impactful results.

Qualifications

• 3+ years building production AI/ML systems with real traffic.
• Strong skills in Python and cloud infrastructure.
• Experience with LLM APIs and prompt engineering.

Responsibilities

• Build, deploy, and scale AI/ML systems.
• Develop APIs for real-time AI-powered optimization.
• Manage cloud-native ML ops on AWS/GCP.

Skills

Python

Cloud infrastructure (AWS/GCP)

LLM APIs

Prompt engineering

Tools

AWS SageMaker

GCP Vertex AI

Job description

You turn AI research into production systems. The Growth OS runs on intelligent automation — and you're the person who builds, deploys, and scales it. From LLM-powered content generation to computer vision for creative analysis to real-time optimization APIs, you engineer the software layer that makes AI operational, reliable, and fast.

What you'll operate:

• LLM integrations for content generation, translation, and creative briefing at scale
• API development for real-time AI-powered optimization (bidding, audience, creative selection)
• Infrastructure: cloud-native ML ops on AWS/GCP, containerized deployments, CI/CD for models

What the system requires:

• 3+ years building production AI/ML systems (not just prototypes — real traffic, real scale)
• Strong Python + cloud infrastructure skills (AWS SageMaker, GCP Vertex AI, or equivalent)
• Experience with LLM APIs (OpenAI, Anthropic, open-source models) and prompt engineering
• You ship fast, iterate faster. You know the difference between a demo and a product.

Ready to Apply?

Join our team and help build the future of growth marketing.