TL;DR
Fullstack Agentic AI Engineer (AI Engineering): Building and delivering code and integrations that power customer engagements and next-gen Agentic AI deployments with an accent on enterprise-grade software platforms that integrate Agentic AI capabilities. Focus on experimenting, innovating, and solving complex problems in a fast-paced, iterative setting with evolving requirements.
Location: Partially Remote
Salary: $110,880 to $263,160 based on a full-time schedule. The compensation range for the position in California is $122,040 to $315,720, in Colorado: $110,880 to $263,160, in New York City: $133,080 to $315,720, in Washington: $122,040 to $289,440, in Washington DC: $122,040 to $289,440. Your actual compensation may vary depending on your geography, job-related skills and experience.
Company
hirify.global designs, builds, manages and modernizes the mission-critical technology systems that the world depends on every day.
What you will do
- Develop and implement end-to-end AI-driven applications, integrating generative AI models.
- Build and maintain scalable front-end interfaces using modern web frameworks (React, Angular, Vue.js).
- Design and develop robust back-end services using Node.js, Python, or other back-end technologies.
- Integrate large language models (LLMs) and multimodal AI models into applications.
- Optimize application performance, ensuring efficiency in AI inference and API response times.
- Develop and maintain RESTful and GraphQL APIs for AI model interaction.
- Deploy AI applications on cloud platforms (AWS, GCP, Azure) using containerization and serverless technologies.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
- 4+ years of experience in full-stack development, with a track record of building scalable, production-ready systems.
- Strong proficiency in JavaScript/TypeScript, Python, and modern front-end frameworks (React, Vue, or Angular).
- Experience with agentic frameworks such as LangChain, AutoGen or CrewAI.
- Hands-on experience with integrating AI models via APIs (OpenAI, Hugging Face, etc.).
- Experience with cloud platforms (e.g., AWS, Azure, GCP), containerization (Docker, Kubernetes), and CI/CD pipelines.
Nice to have
- Experience with Temporal Workflows, Langfuse, LLM gateways such as LiteLLM.
- Prior experience in prompt engineering.
- Experience in building AI-powered chatbots, content generators, or recommendation systems.
- Familiarity with LLM fine-tuning, prompt engineering, and AI model optimization.
Culture & Benefits
- hirify.global offers benefits that give you choice, reflect the diversity of its employees and support you and your family through the moments that matter – wherever you are in your life journey.
- Employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more.
- Through the company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations.
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