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Python Ai Developer Jobs in Hartford, CT (NOW HIRING)

AI Ops Engineer

Hartford, CT · On-site

$53.25 - $73/hr

Proficiency in Python or Node.js. Experience with REST APIs and webhook integrations. Familiarity with monitoring, logging, and AI performance analytics. Preferred Qualifications: Experience with ...

... Python/FastAPI/Django, or C#/.NET * Cloud & DevOps: Strong hands-on experience deploying and ... AI Tools Proficiency: - Advanced daily usage of AI coding assistants (GitHub Copilot, Cursor, or ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... and deploying DevOps pipelines with cloud services - Enhancing cloud resources for cost and ...

AI / GenAI Engineer

Hartford, CT · On-site

$104.90K - $141.20K/yr

Job Summary We are seeking an experienced AI / GenAI Engineer to design, develop, and deploy ... Python • Digital : GenAI / LLM • Digital : Agentic AI • Digital : NLP • Digital

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary ... Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured data ...

... programming languages commonly used in AI/ML development, such as ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

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... programming languages commonly used in AI/ML development, such as ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

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... programming languages commonly used in AI/ML development, such as ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

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Python Ai Developer information

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$13

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How much do python ai developer jobs pay per hour?

As of May 31, 2026, the average hourly pay for python ai developer in Hartford, CT is $59.13, according to ZipRecruiter salary data. Most workers in this role earn between $48.75 and $67.16 per hour, depending on experience, location, and employer.

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

To thrive as a Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and a background in mathematics or computer science. Familiarity with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and experience with data processing tools are typically required. Analytical thinking, problem-solving abilities, and effective collaboration are crucial soft skills for this role. These competencies enable developers to design, implement, and optimize AI solutions that address complex real-world challenges efficiently.

How does a Python AI Developer typically collaborate with data scientists and other team members during an AI project?

Python AI Developers often work closely with data scientists, machine learning engineers, and product managers throughout the lifecycle of an AI project. They are responsible for implementing algorithms and models designed by data scientists, optimizing code for efficiency, and integrating AI solutions into production environments. Regular communication and code reviews ensure alignment on objectives and technical standards, while agile practices like daily stand-ups facilitate cross-functional collaboration. Being open to feedback and adaptable to changing project requirements is key to success in this role.

What does a Python AI Developer do?

A Python AI Developer designs, builds, and implements artificial intelligence applications using the Python programming language. Their work often involves developing machine learning models, processing large datasets, and integrating AI solutions into software products. They collaborate with data scientists, engineers, and stakeholders to solve complex problems and optimize AI algorithms for real-world use. Python AI Developers stay updated on the latest AI techniques and ensure their solutions are efficient, scalable, and maintainable.

How much do Python AI developers make?

Python AI developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can command higher salaries, especially in tech hubs or companies with advanced AI projects.
What are popular job titles related to Python Ai Developer jobs in Hartford, CT? For Python Ai Developer jobs in Hartford, CT, the most frequently searched job titles are:
What job categories do people searching Python Ai Developer jobs in Hartford, CT look for? The top searched job categories for Python Ai Developer jobs in Hartford, CT are:
What cities near Hartford, CT are hiring for Python Ai Developer jobs? Cities near Hartford, CT with the most Python Ai Developer job openings:
Infographic showing various Python Ai Developer job openings in Hartford, CT as of May 2026, with employment types broken down into 79% Full Time, 12% Part Time, and 9% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $122,995 per year, or $59.1 per hour.

Full-time

Posted 4 days ago


Job description

Overview:
Location: [US Hartford]
Experience Level: Senior / Leadership Role
Role Overview
We are seeking a Senior AI Architect to lead the design, development, and governance of cutting-edge AI solutions. This role requires both hands-on technical expertise and strategic leadership-driving innovation while ensuring compliance, security, and scalability across our AI ecosystem.
Key Responsibilities
AI Leadership & Strategy:
Lead our end-to-end AI development-balancing hands-on model design and implementation with guiding and mentoring the broader AI engineering and research teams.
Architecture, Design, and Deployment:
Design, build, and deploy production-grade machine learning models-including LLMs-on the Google Cloud Platform (Vertex AI) using Python and related frameworks.
Collaboration & Ecosystem Management:
Partner closely with internal AI teams, Google, and other technology vendors to sustain momentum, drive innovation, and align with evolving best practices.
Governance, Security, and AIRB Compliance:
Own and execute AI governance processes, including AI Risk Board (AIRB) reviews, data security, compliance, and ethical AI considerations across all AI initiatives.
Model Development & Evaluation:
Design and implement models for Conversational AI, leveraging Google CCAI/CES components. Lead model evaluation using robust Eval frameworks and metrics to ensure reliability, accuracy, and fairness.
Advanced Architectures:
Apply agentic architectures and Retrieval Augmented Generation (RAG) to build intelligent, context-aware AI systems. Experience with Parameter Efficient Fine-Tuning (PEFT) is a plus.
Performance & Scalability:
Optimize and fine-tune models for performance, efficiency, scalability, and accuracy across production workloads.
Cross-Functional Collaboration:
Work with business stakeholders and engineering teams to translate complex business problems into scalable and efficient AI-driven solutions.
Continuous Innovation:
Stay ahead of emerging trends in AI/ML, LLMs, and MLOps to continuously enhance solution quality and team capability.
Customer & Partner Engagement:
Collaborate directly with customer technical experts and partners (e.g., Google) to design solutions that meet business goals and compliance requirements, demonstrating technical and business maturity.
Qualifications
Advanced hands-on experience in Machine Learning, LLMs, and MLOps.
Proven expertise in Google Vertex AI, Python, and Google CCAI/CES platforms.
Deep understanding of AI governance, AIRB, security, and responsible AI principles.
Experience in model evaluation frameworks, agentic architectures, and RAG pipelines.
Strong communication and collaboration skills for engaging with cross-functional teams, vendors, and stakeholders.
Demonstrated ability to balance innovation with operational rigor in production-grade AI environments.