Ai Developer Jobs with Salary ≥ 80k

Summary: 8+ years of experience as a software engineer with expertise in system architecture and strong backend foundation. Experience implementing secure systems and ability to balance strategic thinking with hands-on execution.

Skills: ai engineering, system architecture, backend development, node.js, python, javascript, cloud technologies, aws, security solutions, api integrations, devops, infrastructure-as-code, cross-functional collaboration, full-stack development, reliability engineering, scalable software

Summary: Candidates must have a Bachelor's or Master's degree in a quantitative discipline with significant experience in Python-based application development and machine learning. Familiarity with generative AI technologies, data manipulation libraries, and cloud platforms is also required.

Skills: python, machine learning, generative ai, large language models, apis, data pipelines, cloud platforms, containerization, ci/cd, deep learning, natural language processing, data manipulation, version control, software development, problem solving, collaboration

Summary: Candidates must have a bachelor's degree in a technical field and at least 8 years of experience in IT, including 5 years in a relevant discipline. Leadership experience and strong project management skills are essential.

Skills: ai engineering, leadership, project management, machine learning, cloud computing, aws, azure, software development, agile practices, devops, mlops, data governance, security, compliance, team collaboration, vendor management

Summary: Minimum of 2 years experience in AI/ML development, data science, software engineering, or relevant experience is required. Proficiency in programming languages such as Python or Java and familiarity with data engineering tools and platforms is preferred.

Skills: python, java, data engineering, machine learning, tensorflow, pytorch, sql, data analysis, collaboration, communication, predictive maintenance, anomaly detection, iot devices, gis data, data visualization, cloud services

Summary: Candidates must have a minimum of 6 years of experience in AI/ML development or related fields, along with strong programming skills in languages such as Python, R, or Java. A bachelor's degree in a relevant field is preferred, and familiarity with railroad operations is a plus.

Skills: python, r, java, machine learning, deep learning, data engineering, cloud services, sql, nosql, mlops, generative ai, data pipelines, vector databases, analytical skills, problem-solving, communication

Summary: Seeking a Principal AI Engineer to build AI infrastructure and tools, champion AI adoption. Requires expertise in Python, TypeScript, and AI frameworks.

Skills: python,, typescript

Summary: The ideal candidate should have strong programming skills in Python and experience with machine learning fundamentals and deploying models in production. Knowledge of prompt engineering techniques and experience with agentic AI systems are essential.

Skills: python, machine learning, neural networks, prompt engineering, agentic ai, large language models, sql, gcp, optimization, data processing, ai systems, collaboration, technical documentation, feedback, problem solving, communication

Summary: Candidates must have over 5 years of experience building and scaling production ML systems with measurable business impact. A strong background in ranking algorithms and proficiency in Python and ML frameworks is essential.

Skills: machine learning, recommendation systems, ranking algorithms, python, tensorflow, pytorch, sql, data warehouses, data lakes, distributed computing, a/b testing, feature engineering, data pipelines, real-time personalization, statistical testing, model monitoring

Summary: Candidates must have 5+ years of software development and ML engineering experience, with 3+ years focused on advertising systems. Proven experience optimizing ad performance using mature models and emerging ML technologies is essential.

Skills: machine learning, advertising systems, optimization, recommendation systems, advertising algorithms, nlp, cv, python, sql, tensorflow, pytorch, distributed data processing, cloud infrastructure, analytical problem-solving, communication, teamwork, project management

Summary: Candidates must have 7+ years of software development and ML engineering experience, with at least 3 years focused on advertising systems. Proven experience in optimizing ad performance and expertise in ML areas such as recommendation systems and advertising algorithms is essential.

Skills: machine learning, advertising systems, optimization, recommendation systems, advertising algorithms, nlp, cv, python, sql, tensorflow, pytorch, distributed data processing, cloud infrastructure, analytical problem-solving, communication, project management

Summary: Candidates must have over 7 years of experience in building and scaling production ML systems with measurable business impact. A strong background in ranking algorithms and proficiency in Python and ML frameworks is essential.

Skills: machine learning, recommendation systems, python, tensorflow, pytorch, sql, data warehousing, distributed computing, a/b testing, ranking algorithms, feature engineering, data pipelines, real-time personalization, experimentation, data processing, collaboration, analytical thinking

Summary: Candidates must have over 7 years of experience building and scaling production ML systems with measurable business impact. A strong background in ranking algorithms and proficiency in Python and ML frameworks is essential.

Skills: machine learning, recommendation systems, ranking algorithms, python, tensorflow, pytorch, sql, data warehouses, data lakes, distributed computing, a/b testing, feature engineering, data pipelines, experimentation, real-time personalization, model reliability

Summary: Candidates must have 7+ years of experience building and scaling production ML systems with measurable business impact. A strong background in ranking algorithms and proficiency in Python and ML frameworks is essential.

Skills: machine learning, recommendation systems, ranking algorithms, python, tensorflow, pytorch, sql, data warehouses, data lakes, distributed computing, a/b testing, feature engineering, data pipelines, real-time personalization, statistical analysis, experimentation

Summary: Candidates must have 7+ years of experience building and scaling production ML systems with measurable business impact. A strong background in ranking algorithms and proficiency in Python and ML frameworks is essential.

Skills: machine learning, recommendation systems, ranking algorithms, python, tensorflow, pytorch, sql, data warehouses, data lakes, distributed computing, a/b testing, feature engineering, data pipelines, experimentation, real-time personalization, model reliability

Summary: Candidates must have over 7 years of experience in building and scaling production ML systems with measurable business impact. Proficiency in ranking algorithms and experience with large-scale ML systems serving over 100M predictions daily is essential.

Skills: machine learning, recommendation systems, ranking algorithms, python, tensorflow, pytorch, sql, data warehouses, data lakes, distributed computing, a/b testing, feature engineering, data pipelines, real-time personalization, statistical analysis, model monitoring

Summary: Candidates should have 5+ years of software engineering experience, with at least 2 years focused on AI systems and deep expertise in LLM implementation. A strong foundation in TypeScript and experience with modern AI frameworks and tools are also required.

Skills: ai systems, llm implementation, software engineering, typescript, document analysis, legal reasoning, ai development, technical leadership, mentoring, prototyping, integration, evaluation, structured reasoning, tool-use pipelines, problem solving, continuous learning

Summary: Bachelor’s degree in Computer Science, Information Technology, or a related discipline is required. Candidates should have 3–5 years of hands-on experience in cloud engineering with a strong focus on Microsoft Azure environments.

Skills: microsoft azure, azure ai foundry, cloud engineering, infrastructure as code, terraform, arm templates, networking, security, compliance, problem-solving, troubleshooting, collaboration, ai solutions, automation, digital innovation

Summary: The position requires 7+ years of experience writing ML code for launched products and experience leading a small team of developers. Strong programming skills in Python and an understanding of the state of the art in generative AI are essential.

Skills: machine learning, generative ai, python, llms, data sets creation, backend api services, mentoring, cross-functional collaboration, ml models, pydantic ai, vector databases, microservices architectures, data pipelines, tensorflow, pytorch, sql

Summary: Candidates should have 7+ years of experience writing ML code for launched products and experience leading a small team of developers. A strong understanding of generative AI and experience with LLMs is essential.

Skills: machine learning, generative ai, python, llms, data engineering, api services, mentoring, prototyping, backend development, microservices, distributed systems, tensorflow, pytorch, scikit-learn, sql, data pipelines

Summary: The position requires 7+ years of experience writing ML code for launched products and experience leading a small team of developers. A strong understanding of generative AI and programming skills in Python are essential.

Skills: machine learning, ai features, generative ai, python, team leadership, backend api services, ml models, data sets creation, pydantic ai, vector databases, nodejs, java, kotlin, tensorflow, pytorch, scikit-learn, sql

Summary: The position requires 7+ years of experience writing ML code for launched products and experience leading a small team of developers. A strong understanding of generative AI and proficiency in Python are essential.

Skills: machine learning, ai development, python, generative ai, backend api services, ml models, data sets creation, team leadership, agile methodologies, cross-functional collaboration, prototyping, mentoring, microservices, data pipelines, tensorflow, pytorch

Summary: Candidates should have a Bachelor's or Master's degree and at least 6 years of software development experience, including 3 years in a technical leadership role. Proficiency in developing cloud services using .NET and experience with Python and machine learning libraries is essential.

Skills: software development, technical leadership, cloud services, python programming, machine learning, software architecture, microservices, cloud computing, agile methodologies, devops practices, containerization, kubernetes, docker, ci/cd pipelines, problem solving, communication skills

Summary: Candidates should have over 5 years of full-stack development experience, including 2 years with AI/ML technologies in production. Strong skills in frontend and backend development, API design, and familiarity with cloud technologies are essential.

Skills: full stack development, ai/ml technologies, typescript, javascript, react, go, python, api design, service architecture, cloud technologies, database systems, data processing pipelines, containerization, orchestration technologies, monitoring, versioning, observability

Summary: Candidates should have 3+ years of experience in machine learning, deep learning, or applied AI, along with strong Python skills. Familiarity with big data tools and cloud environments is also preferred.

Skills: machine learning, deep learning, python, tensorflow, pytorch, jax, mlops, cloud environments, docker, kubernetes, big data, feature engineering, ai strategy, data pipelines, real-time processing, batch processing

Summary: Extensive experience with the full Elasticsearch stack and SQL database technologies is required. Familiarity with AWS, Python, and Agile methodologies is also essential.

Skills: data engineering, sql, nosql, elasticsearch, aws, linux, docker, kubernetes, python, agile, natural language processing, machine learning, data storage, data retrieval, security best practices, data analysis

Summary: Build and scale medical claims auditing infrastructure using distributed systems, data pipelines, and APIs. Requires experience in React, Node.js, and SQL.

Skills: react, node.js, sql

Summary: Lead the design and build of AI solutions in healthcare. Requires full stack experience, proficiency in LLM APIs, and knowledge of ML models.

Skills: typescript

Summary: Candidates should have 5+ years of experience writing ML code for launched products and experience leading a small team of developers. A strong understanding of generative AI and proficiency in Python

Skills: machine learning, ai development, python, generative ai, backend api services, ml models, data sets creation, team leadership, agile methodologies, cross-functional collaboration, prototyping, mentoring, microservices, data pipelines, tensorflow, pytorch

Summary: Candidates should have 5+ years of experience writing ML code for launched products and experience leading a small team of developers. A strong understanding of generative AI and proficiency in Python

Skills: machine learning, ai development, python, generative ai, backend api services, ml models, data sets creation, team leadership, agile methodologies, cross-functional collaboration, prototyping, mentoring, microservices architectures, data pipelines, tensorflow, pytorch

Summary: Candidates should have 5+ years of experience writing ML code for launched products and experience leading a small team of developers. A strong understanding of generative AI and programming skills in

Skills: ai/ml software engineering, generative ai, python, llms, data sets creation, backend api services, ml models, agile methodologies, mentoring, cross-functional collaboration, microservices architectures, distributed systems, tensorflow, pytorch, scikit-learn, sql

Summary: Candidates should have 5+ years of experience writing ML code for launched products and experience leading a small team of developers. A strong understanding of generative AI and programming skills in

Skills: machine learning, ai features, python, generative ai, backend api services, ml models, data sets, team leadership, agile methodologies, cross-functional collaboration, prototyping, mentoring, microservices, data pipelines, tensorflow, pytorch

Summary: Candidates should have 5+ years of experience writing ML code for launched products and experience leading a small team of developers. Strong programming skills in Python and familiarity with generati

Skills: ai/ml software engineering, generative ai, python, llms, data sets creation, backend api services, ml models, agile methodologies, mentoring, cross-functional collaboration, microservices architectures, distributed systems, tensorflow, pytorch, scikit-learn, sql

Summary: Seeking a Full Stack AI Engineer to build AI products using Python, databases, and APIs. Work directly with leadership to improve patient care through innovative technology.

Skills: python, sql, nosql

Summary: Develop AI models and solutions using Python, machine learning, and data processing techniques.

Skills: python, machine learning, data processing

Summary: Develop AI tools for screenplay analysis, budget generation, and production scheduling. Requires skills in React, Node.js, and SQL.

Skills: react, node.js, sql

Summary: Candidates should have 7+ years of full-time experience in AI/ML or full stack software engineering, particularly with data-intensive systems. A strong background in software engineering, AI/ML/NLP en

Skills: ai/ml development, data pipelining, system intelligence, security & compliance, operations, python, sql, postgresql, dbt, bigquery, nlp, llm, pytorch, cloud platforms, linux, bash scripting, web services

Summary: 8+ years of professional full stack experience with a focus on TypeScript and NodeJS is required. Experience with machine learning integration and a strong emphasis on code quality and documentation a

Skills: full stack development, typescript, nodejs, machine learning, code quality, testing, documentation, python, llms, mongodb, nosql, mentoring, problem solving, collaboration, continuous learning