Job Title: AI Application Developer
Location: United States
Job Type: Full-Time
Experience: 2–8 Years
Work Mode: Remote / Hybrid / On-site
Estimated Annual Salary: $90,000–$160,000
We are seeking a skilled AI Application Developer to design, develop, and deploy AI-powered applications that improve business processes and user experiences. The ideal candidate will have experience in software development, artificial intelligence, machine learning, and integrating AI models and APIs into scalable applications.
Key ResponsibilitiesDesign, develop, and maintain AI-powered applications and software solutions.
Integrate AI models and APIs from providers such as OpenAI, Google Gemini, and Anthropic.
Develop intelligent chatbots, virtual assistants, and automated workflows.
Build backend services and APIs to support AI-driven features.
Implement retrieval-augmented generation (RAG), embeddings, and vector database integrations.
Collaborate with product managers, designers, and engineering teams.
Test, debug, and optimize application performance, reliability, and scalability.
Follow security, privacy, and responsible AI development practices.
Monitor AI application quality, accuracy, latency, and operating costs.
Maintain technical documentation and support application deployment.
Proficiency in Python, JavaScript, or TypeScript.
Experience with AI/ML frameworks and AI model APIs.
Knowledge of REST APIs, backend development, and database systems.
Familiarity with large language models (LLMs), prompt engineering, and RAG.
Experience with frameworks such as FastAPI, Flask, React, or Node.js.
Knowledge of SQL and vector databases.
Familiarity with Git, Docker, cloud platforms, and CI/CD pipelines.
Strong analytical, problem-solving, and communication skills.
ExperienceEstimated Salary (USD)2–3 Years$90,000–$110,0003–5 Years$105,000–$135,0005–8 Years$125,000–$160,000
Salary estimates vary by employer, location, qualifications, and technical expertise.
Preferred QualificationsBachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
Experience deploying AI applications on AWS, Microsoft Azure, or Google Cloud.
Familiarity with LangChain, LlamaIndex, or similar AI development frameworks.
Experience building production-ready generative AI applications.
Knowledge of model evaluation, AI guardrails, and application monitoring.
Competitive salary and performance-based incentives.
Health, dental, and vision insurance, where offered.
Paid time off and holidays.
Professional development opportunities.
Opportunities to work on innovative AI projects.
Interested candidates can submit their updated resume and links to relevant AI applications, GitHub repositories, or project portfolios.
Equal Opportunity Statement: We welcome qualified applicants from diverse backgrounds. Candidates must meet the applicable US work authorization requirements for the position.
Skills Required
- 2-8 years of relevant experience
- Proficiency in Python, JavaScript, or TypeScript
- Experience with AI/ML frameworks and AI model APIs
- Knowledge of REST APIs, backend development, and database systems
- Familiarity with large language models, prompt engineering, and retrieval-augmented generation
- Experience with FastAPI, Flask, React, or Node.js
- Knowledge of SQL and vector databases
- Familiarity with Git, Docker, cloud platforms, and CI/CD pipelines
- Strong analytical, problem-solving, and communication skills
- Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field
- Experience deploying AI applications on AWS, Microsoft Azure, or Google Cloud
- Familiarity with LangChain, LlamaIndex, or similar AI development frameworks
- Experience building production-ready generative AI applications
- Knowledge of model evaluation, AI guardrails, and application monitoring
What We Do
EdgeQ develops 5G systems-on-chip for wireless infrastructure, combining connectivity and AI in a software-customizable, programmable platform. Its technology supports configurable 5G services and Open RAN deployments for enterprises, telecom operators and cloud providers, including base-station and edge-network use cases. The company’s mission is to make 5G more accessible through software-driven customization and bring cloud computing and data processing closer to where connectivity and data are used.








