3498 IT & Software Developer jobs in the US
Requirements
Must:
- Bachelors degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
- 4+ years of experience in full-stack development with a proven history of creating scalable, production-ready systems.
- Strong expertise in JavaScript/TypeScript, Python, and contemporary front-end frameworks (React, Vue, or Angular).
- Familiarity with agentic frameworks such as LangChain, AutoGen, or CrewAI.
- Practical experience integrating AI models via APIs (OpenAI, Hugging Face, etc.).
- Understanding of vector databases, embeddings, and retrieval-augmented generation (RAG) methods.
- Proficient with cloud platforms (e.g., AWS, Azure, GCP), containerization technologies (Docker, Kubernetes), and CI/CD pipelines.
- Solid grasp of database solutions (SQL, NoSQL, Firebase, MongoDB, PostgreSQL).
- Capability to design scalable and maintainable architectures for AI-driven applications.
- Ability to collaborate closely with cross-functional teams to deliver comprehensive, end-to-end functionalities.
- Familiarity with message queues (e.g., RabbitMQ, Kafka) and caching mechanisms (e.g., Redis).
Responsibilities
- Create and deploy comprehensive AI-driven applications, integrating generative AI models.
- Design and sustain scalable front-end interfaces utilizing modern web frameworks (React, Angular, Vue.js).
- Architect and construct robust back-end services using Node.js, Python, or other back-end technologies.
- Integrate large language models (LLMs) and multimodal AI models into applications.
- Enhance application performance, focusing on efficiency in AI inference and API response times.
- Develop and maintain RESTful and GraphQL APIs for AI model interaction.
- Launch AI applications on cloud platforms (AWS, GCP, Azure) using containerization and serverless technologies.
- Ensure the security, scalability, and compliance of AI-driven applications.
- Remain informed about recent advancements in Generative/Agentic AI, web development, and cloud technologies.
Description
At Kyndryl, we design, build, manage, and modernize the mission-critical technology systems that the world relies on every day. We continuously push ourselves to create a more equitable and inclusive work environment for our employees, customers, and communities. In the role of Fullstack Agentic AI Engineer, you will transform architectural concepts into tangible solutions, delivering the code and integrations that enhance our customer engagements and advance next-gen Agentic AI deployments. We foster a dynamic builders culture where you will have the freedom to innovate and tackle complex challenges, all within a fast-paced, iterative environment. We are committed to your professional growth and offer a variety of career development opportunities. Join us in a diverse and inclusive workplace where everyone can thrive.
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You can find Machine Learning Engineer salaries in the United States here.
How many Machine Learning Engineer jobs are in the United States?
Currently, there are 3498 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.
Is the US a good place for Machine Learning Engineers?
The US is one of the best countries to work as a Machine Learning Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Machine Learning Engineer jobs in the United States?
D3 Security Management Systems, GINGER Telecom, Gatestone & Co. Inc, ID Cosmetic clinic, GE Aerospace, Confidential, TEN X TORONTO among others, are currently hiring for ML, AI roles in the United States.
The company with most openings is Judge Group, Inc. as they are hiring for 254 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.
The company with most openings is Judge Group, Inc. as they are hiring for 254 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.