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Remote Python Ai Jobs in Springfield, MA (NOW HIRING)

KēSTA I.T.

AI Engineer 804812

Hartford, CT · On-site +1

$1/hr

This position is Remote : We are seeking an AI Applications Developer to support the ongoing ... Required Skills: · Strong experience developing applications using Python . · Experience with ...

New

Knak Digital

AI Engineer

Becket, MA · Remote

AI Engineer Location: Remote (US only) Must be authorized to work in the US and obtain a Public ... Proficiency in both Python and JavaScript * Hands-on experience designing or building agentic ...

FAVARH

Cloud Security Engineer

Windsor, CT · Remote

This role is remote with the expectation that candidates are based near one of the following Voya ... Familiarity withAI Security Posture Management (AI-SPM)andMLOpssecurityis a strong plus as Voya ...

UnitedHealth Group

Software Engineer

Hartford, CT · Remote

$72K - $130K/yr

If you reside near Hartford, CT , you'll enjoy the flexibility of a hybrid-remote position* as you ... in Python for building AI services, APIs, and backend systems * 2 years Hands-on experience ...

Finalsite

Staff Site Reliability Engineer

Glastonbury, CT · Remote

$180K - $250K/yr

LOCATION 100% Remote - Anywhere within the US RESPONSIBILITIES * Design, improve, and maintain ... Utilize AI-assisted development tools to support infrastructure analysis and improvement efforts ...

Finalsite

Staff Site Reliability Engineer

Glastonbury, CT · On-site +1

$180K - $250K/yr

LOCATION 100% Remote - Anywhere within the US RESPONSIBILITIES * Design, improve, and maintain ... Utilize AI-assisted development tools to support infrastructure analysis and improvement efforts ...

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All JobsPython Ai JobsRemote Python Ai JobsRemote Python Ai Jobs in Springfield, MA

Remote Python Ai information

See Springfield, MA salary details

$13

$58

$85

How much do remote python ai jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for remote python ai in Springfield, MA is $58.42, according to ZipRecruiter salary data. Most workers in this role earn between $48.12 and $66.35 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Python AI Developer, and why are they important?

To thrive as a Remote Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and relevant certifications such as TensorFlow Developer are highly valued. Exceptional problem-solving abilities, self-motivation, and effective remote communication skills help set professionals apart in this distributed role. These capabilities are critical for developing robust AI solutions, collaborating across virtual teams, and delivering impactful results in a rapidly evolving field.

What are Remote Python AI jobs?

Remote Python AI jobs are positions that involve developing, implementing, or maintaining artificial intelligence solutions using the Python programming language, all while working from a remote location. These roles can include tasks such as building machine learning models, automating data analysis, and deploying AI-powered applications. Professionals in these jobs collaborate with teams online, use cloud-based tools, and contribute to a variety of industries such as tech, finance, healthcare, and more. Python is a popular choice for AI due to its simplicity and the availability of powerful libraries like TensorFlow, PyTorch, and scikit-learn.

What is the difference between Remote Python Ai vs Data Scientist?

AspectRemote Python AiData Scientist
Required CredentialsPython programming, AI/ML knowledge, possibly certifications in AI or data analysisStatistics, programming, data analysis, often a master's degree or higher
Work EnvironmentRemote, tech companies, AI-focused teamsRemote or on-site, diverse industries including tech, finance, healthcare
Employer & Industry UsageTech startups, AI firms, software companiesVarious sectors like finance, healthcare, marketing, tech
Search & Comparison IntentFocus on AI development using PythonData analysis, insights, statistical modeling

Remote Python Ai roles primarily focus on developing AI models and applications using Python, often within tech or AI companies. Data Scientists analyze data to extract insights, requiring broader statistical skills. While both roles may involve Python, Remote Python Ai emphasizes AI/ML development, whereas Data Scientists focus on data analysis and interpretation.

How is collaboration typically structured in a remote Python AI role, and what tools are commonly used to facilitate teamwork?

In a remote Python AI role, collaboration is often structured through regular virtual meetings, code reviews, and the use of collaborative platforms. Teams typically use version control systems like GitHub or GitLab for code sharing, and platforms such as Slack or Microsoft Teams for daily communication. Project management tools like Jira or Trello help organize tasks and track progress, while video calls via Zoom or Google Meet are used for team discussions and brainstorming sessions. This structure ensures that even in a distributed setting, team members can efficiently work together, share insights, and resolve challenges.
What are popular job titles related to Remote Python Ai jobs in Springfield, MA? For Remote Python Ai jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Remote Python Ai jobs in Springfield, MA look for? The top searched job categories for Remote Python Ai jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Remote Python Ai jobs? Cities near Springfield, MA with the most Remote Python Ai job openings:
Remote Python Ai jobs near you

AI Engineer

Dhaka Technologies Limited Company

Hartford, CT • Remote

$45 - $55/hr

Full-time

Posted 8 days ago

Job description

This is a remote position.

AI Engineer

Vacancy: 1

Work Arrangement: Remote

Location: Hartford, CT is 06105

Employment Type: Contract

Engagement Type: W2 or 1099 only; no C2C



Position Overview

Dhaka Technologies Limited is seeking a hands-on AI Engineer to support the ongoing operation, modernization, and extension of AI-enabled applications for state agency programs involving confidential, regulated, and sensitive business data.

The selected candidate will work primarily in Python within modern web frameworks such as FastAPI, deploy and maintain services in Microsoft Azure, and use Git-based source control with pull-request workflows. This role requires practical experience building AI-powered applications using large language models, maintaining secure production services, and supporting modern AI-assisted software development practices.

This is an applied technical role for a candidate who can write, review, debug, deploy, and maintain reliable production code while working with business users, analysts, technical teams, and centralized AI engineering resources.

Key Responsibilities
  • Maintain, enhance, and extend existing AI-enabled applications and supporting services.
  • Develop and support Python-based web applications, APIs, and backend services.
  • Build, integrate, and improve applications powered by large language models such as OpenAI GPT, Google Gemini, Anthropic Claude, or similar platforms.
  • Analyze business and technical requirements and participate in project planning sessions with customers, analysts, and team members.
  • Provide design recommendations for routine to moderately complex systems and application enhancements.
  • Prepare source code, debug issues, correct errors, and maintain software integrity.
  • Configure, deploy, monitor, and maintain applications and supporting services in cloud environments.
  • Deploy and manage services using Microsoft Azure technologies such as App Service, Storage, Key Vault, and related services.
  • Design and develop routine to moderately complex applications, including data flows, screens, forms, APIs, reports, and supporting workflows.
  • Compare, evaluate, and select AI models for specific use cases, including A/B testing model performance on defined tasks.
  • Use AI-assisted coding tools to write, review, test, debug, and improve software while validating output for production quality.
  • Apply secure development practices for applications handling confidential, regulated, or sensitive data.
  • Support integration of application systems into existing infrastructure and cloud environments.
  • Document system processes, application workflows, technical procedures, configuration details, and deployment steps.
  • Participate in the evaluation of new AI, cloud, and software development technologies.
  • Collaborate with centralized AI engineering teams, architecture teams, infrastructure teams, and business stakeholders.
  • Take user requests from intake through development, testing, deployment, and production support with appropriate guidance.
  • Perform related duties as assigned.



RequirementsRequired Qualifications
  • Minimum 3 years of Python development experience in a web environment involving application logic and web APIs.
  • Minimum 2 years of experience building applications powered by large language models, such as OpenAI GPT, Google Gemini, Anthropic Claude, or similar LLMs.
  • Minimum 2 years of professional experience comparing and selecting AI models, including methods such as A/B testing models on specific tasks.
  • Strong knowledge of modern programming practices, with emphasis on Python and related web application frameworks.
  • Knowledge of systems analysis, design, software development, and programming principles.
  • Knowledge of modern AI-assisted software development workflows and tools.
  • Ability to effectively use coding assistants for writing, reviewing, debugging, and improving code while independently validating the results.
  • Knowledge of secure software development practices.
  • Understanding of appropriate handling of confidential, regulated, or sensitive data.
  • Knowledge of security considerations specific to AI-enabled applications.
  • Ability to support requirements analysis, design discussions, application development, testing, deployment, and production support.
  • Exceptional written and verbal communication skills are required.
  • Strong interpersonal skills and ability to collaborate with technical and non-technical stakeholders.


Preferred Qualifications
  • 2+ years of experience deploying applications and supporting services in cloud environments.
  • 2+ years of experience deploying and maintaining services on Microsoft Azure, including App Service, Storage, Key Vault, and related services.
  • 2+ years of experience using Git-based source control and pull-request workflows.
  • 1+ year of previous experience working directly with a state government agency in AI development.
  • Experience with FastAPI or similar Python web frameworks.
  • Experience developing AI-enabled applications in environments involving financial, examination, compliance, regulatory, or confidential business data.
  • Experience working with centralized AI engineering, architecture, or shared infrastructure teams.
  • Experience documenting technical procedures, workflows, deployment steps, and system processes.
  • Experience evaluating new AI models, tools, frameworks, or cloud services for practical production use.


Technical Skills
  • Python
  • FastAPI or similar web frameworks
  • REST APIs and web application development
  • Large language models
  • OpenAI GPT, Google Gemini, Anthropic Claude, or similar AI platforms
  • AI model evaluation and A/B testing
  • Microsoft Azure App Service
  • Azure Storage
  • Azure Key Vault
  • Cloud deployment and monitoring
  • Git and pull-request workflows
  • Secure software development
  • AI-assisted coding tools
  • Technical documentation


Ideal Candidate Profile

The ideal candidate is a practical AI engineer with strong Python development skills, hands-on LLM application experience, and the ability to ship secure, reliable production code. This individual should be comfortable working with AI-assisted coding tools, validating generated code, deploying cloud-based services, handling regulated data responsibly, and communicating clearly with both technical teams and business stakeholders.

This role is best suited for someone who can balance applied AI development, secure engineering practices, cloud operations, and strong communication in a production-focused environment.


How to Apply

Interested candidates who meet the qualifications should send their resume to: talent@dhakatech.us