1185 IT & Software Developer jobs in the US
Senior Full Stack AI Engineer
$127,600 - 191,400
The Hartford
Coulwood Park Drive 100, Charlotte
$127,600 - 191,400
Requirements
Must:
- Over 10 years of professional software engineering experience, with a minimum of 5 years in hands-on full stack delivery roles
- Bachelors degree in Computer Science, Software Engineering, or a related field (or equivalent experience)
- Expert-level proficiency in developing production applications using modern JavaScript/TypeScript frameworks (React, Angular, or Vue.js), HTML5, CSS3, responsive design, and accessibility standards
- Extensive hands-on experience in building and managing services with Java/Spring Boot, Node.js/Express, Python/FastAPI/Django, or C#/.NET
- Strong practical experience in deploying and operating on cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD tools (Jenkins, GitHub Actions, GitLab CI)
- Skilled in constructing and optimizing data layers with SQL and NoSQL databases (PostgreSQL, MongoDB, DynamoDB, Redis), data modeling, and query enhancement
- Proven ability to develop RESTful APIs, GraphQL services, gRPC endpoints, or event-driven integrations (Kafka, RabbitMQ)
- Advanced proficiency in using AI coding assistants (e.g., GitHub Copilot, Cursor)
- Experience with integration of LLM APIs (OpenAI, Anthropic, GCP Vertex Service) into production environments
- Familiarity with prompt engineering, fine-tuning, embeddings, and vector databases
- History of improving team velocity through the adoption of AI tools
- Strong understanding of testing practices, including unit, integration, and end-to-end testing with modern frameworks
- Working knowledge of distributed systems, microservices, and event-driven architectures; capable of contributing to and implementing architectural designs
Responsibilities
- Own features from concept to production release, writing and delivering high-quality code on a daily basis
- Rapidly build, test, deploy, and iterate across frontend, backend, APIs, and data layers
- Diagnose and fix production issues, performance bottlenecks, and intricate bugs
- Implement and maintain CI/CD pipelines, automated testing, and deployment automation
- Contribute to architectural decisions and design discussions as a practitioner, ensuring solid implementations
- Take responsibility for system reliability, performance, and security of the services built
- Develop and deliver modern frontend applications using frameworks such as React, Angular, or Vue.js with TypeScript
- Create, deploy, and manage robust backend services using Java (Spring Boot), Node.js, Python, or .NET
- Optimize RESTful APIs, GraphQL endpoints, and event-driven integrations
- Manage and configure cloud-native infrastructure (AWS or GCP) including containers, serverless solutions, and infrastructure-as-code
- Build and tune data layers using relational and NoSQL databases, caching, and message queues
- Write clean, well-tested, production-ready code with an emphasis on maintainability and operational excellence
- Utilize AI coding assistants to enhance development workflows
- Employ AI tools for code generation, refactoring, test writing, documentation, and code reviews
- Integrate large language model (LLM) APIs and AI/ML services into applications
- Design and implement RAG pipelines and AI-powered features
- Select and promote AI tools and practices to enhance team productivity
- Develop custom agents, workflows, and automations using various AI platforms and frameworks
- Establish security practices and governance for responsible AI usage in engineering
- Foster engineering culture by advocating for AI-augmented development practices
- Educate and mentor team members on the effective use of AI tools in their workflows
- Contribute to internal knowledge bases, tech talks, and communities of practice
- Collaborate with product, design, and data science teams to discover AI-driven opportunities
Description
We are an innovative insurance company striving to make a meaningful impact beyond mere policies and coverages. Our team is dedicated to supporting individual and collective goals, fostering a collaborative environment that primes everyone for success. We offer a hybrid work schedule with the possibility to work in our offices located in Columbus, OH, Chicago, IL, Hartford, CT, or Charlotte, NC, for three days a week. Our comprehensive benefits package includes competitive compensation, performance bonuses, and recognition programs.
Something wrong or incorrect with this job? Tell us in the chat 💬 on the right ➡️
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 1185 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?
GE Aerospace, D3 Security Management Systems, Combat Computers Inc., LOGO.com, Tactable, Lifax Tech Inc., Vortex Solution among others, are currently hiring for ML, AI roles in the United States.
The company with most openings is Jobot as they are hiring for 90 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 Jobot as they are hiring for 90 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.