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Python Programming Jobs in Massachusetts (NOW HIRING)

Photon

Senior Agentic AI Engineer (Python)_

Boston, MA · On-site

$132K - $177K/yr

Senior Agentic AI Engineer (Python) Experience: 5 10 years Location: Onsite / Offshore (Flexible) Primary Objective We are seeking a Senior Agentic AI Engineer to design, build, deploy, and operate ...

Compunnel

Java/Python developer w/ data

Wakefield, MA · On-site

The role requires strong hands-on expertise in Python, Java, Angular, PySpark, Apache Spark, AWS ... programming. • Expertise in PySpark and Apache Spark, with proven experience building high ...

Chewy

Software Engineer II - Python

Boston, MA · On-site

$115K - $190K/yr

As a Software Engineer, you will play a meaningful part in crafting, implementing, and deploying ... Strong proficiency in Python and SQL. * Excellent problem-solving skills and the ability to work ...

Chewy

Software Engineer II - Python

Boston, MA · On-site

$115K - $190K/yr

As a Software Engineer, you will play a meaningful part in crafting, implementing, and deploying ... Strong proficiency in Python and SQL. * Excellent problem-solving skills and the ability to work ...

Infosys Limited

Java Python Developer

Boston, MA · On-site

$80 - $100/hr

Strong programming skills in Python and Java. * Hands-on experience with LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar frameworks. * Experience building RAG applications, vector ...

New

Infosys

Java Python Developer

Boston, MA · On-site

Required Skill and Experience • Strong programming skills in Python and Java. • Hands-on experience with LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar frameworks. • ...

Jobtailor

Investment Research Associate

Boston, MA · On-site

$100 - $125/hr

Programming experience in at least one of Python or MATLAB; familiarity with SQL is a plus * Familiarity with generative AI tools (e.g., MS Copilot, ChatGPT, Claude) and prompt engineering * Genuine ...

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Python Programming information

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$14

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How much do python programming jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for python programming in Massachusetts is $64.02, according to ZipRecruiter salary data. Most workers in this role earn between $52.79 and $72.74 per hour, depending on experience, location, and employer.

What is Python programming?

Python programming refers to writing code in the Python language, a versatile and high-level programming language known for its readability and simplicity. Python is widely used for web development, data analysis, artificial intelligence, scientific computing, and automation. Its large standard library and active community make it a popular choice for both beginners and experienced developers. Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Because of its simple syntax and vast ecosystem, Python is a great starting point for anyone looking to learn programming or develop complex applications.

What are the key skills and qualifications needed to thrive as a Python programmer?

To thrive as a Python Programmer, you need strong proficiency in Python programming, knowledge of data structures and algorithms, and often a degree in computer science or a related field. Familiarity with popular libraries like Pandas, NumPy, and frameworks such as Django or Flask, along with experience using version control systems like Git, is typically required. Problem-solving ability, attention to detail, and effective communication are crucial soft skills that set top programmers apart. These competencies ensure efficient code development, successful collaboration, and the delivery of robust software solutions.

What are some common challenges python programmers face when working on collaborative projects?

Python programmers often encounter challenges like maintaining code consistency, managing dependencies, and merging code changes when working with a team. Adhering to coding standards (such as PEP 8) and using tools like version control systems (e.g., Git) are crucial to streamline collaboration. Regular code reviews and clear documentation also help prevent misunderstandings and ensure smooth integration of each team member's contributions.

What is the difference between Python Programming vs Data Analyst?

AspectPython ProgrammingData Analyst
Required SkillsProficiency in Python, scripting, algorithmsData interpretation, Excel, SQL, basic Python
Work EnvironmentSoftware development, coding projectsData analysis, reporting, business insights
Industry UsageTech, finance, automationMarketing, finance, healthcare

Python Programming involves writing code to develop software, automate tasks, and build applications, requiring strong coding skills. Data Analysts focus on interpreting data, creating reports, and providing insights, often using Python as a tool. While Python Programming emphasizes coding expertise, Data Analysts combine analytical skills with some programming knowledge. Both roles often overlap, especially when Data Analysts use Python for data manipulation and analysis.

Is Python programming a good career?

Python programming is a popular and in-demand skill in the tech industry, with applications in web development, data analysis, machine learning, and automation. Careers in Python often offer competitive salaries, opportunities for remote work, and require knowledge of related tools like libraries and frameworks. It is considered a strong choice for those interested in software development and data science roles.

Is there a demand for Python programmers?

Python programming is in high demand across various industries such as technology, finance, and data science. Employers seek Python developers for roles involving web development, automation, machine learning, and data analysis, often requiring knowledge of frameworks like Django or libraries such as Pandas. The job market for Python programmers remains strong due to its versatility and widespread use in emerging technologies.

What jobs can I do with just Python programming?

With Python programming skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend web developer. These jobs often require knowledge of frameworks like Django or Flask, and familiarity with databases and version control systems.

What are the most commonly searched types of Python Programming jobs in Massachusetts?

The most popular types of Python Programming jobs in Massachusetts are:

What cities in Massachusetts are hiring for Python Programming jobs?

Cities in Massachusetts with the most Python Programming job openings:

Python Programming jobs near you
Infographic showing various Python Programming job openings in Massachusetts as of August 2026, with employment types broken down into 1% Internship, 76% Full Time, 16% Part Time, 1% Temporary, 4% Contract, and 2% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $133,165 per year, or $64 per hour.

Senior Agentic AI Engineer (Python)_

Photon

Boston, MA • On-site

$132K - $177K/yr

Other

Posted 28 days ago

Job description

Senior Agentic AI Engineer (Python)
Experience:5 10 years
Location:Onsite / Offshore (Flexible)

Primary Objective

We are seeking a Senior Agentic AI Engineer to design, build, deploy, and operate enterprise-grade AI agents and multi-agent systems. The role focuses on Generative AI, LLMs, agentic workflows, RAG architectures, AI orchestration, and governed enterprise AI platforms delivering scalable copilots, intelligent automation, and knowledge systems across onshore and offshore delivery environments.

Success looks like:production-ready agents with measurable reliability, governed RAG integrated into enterprise systems, and clear observability/guardrails for business use cases.

Key Responsibilities

Primary

  • Design, develop, and deploy AI agents and multi-agent workflows using Python and agentic frameworks (e.g., LangChain, LangGraph, or equivalent).
  • Build enterprise-scale RAG solutions over structured and unstructured data sources.
  • Develop agent orchestration workflows integrating models, tools, APIs, and enterprise services.
  • Build AI-powered copilots, assistants, and automation solutions for enterprise use cases.
  • Implement AI monitoring, observability, tracing, telemetry, and performance measurement.

Also expected

  • Implement agent memory patterns (short-term, long-term, episodic).
  • Integrate agents with enterprise platforms (APIs, databases, SharePoint, Confluence, Salesforce, knowledge repositories).
  • Contribute to AI governance: guardrails, security controls, policy enforcement, and compliance.
  • Optimize prompts, reasoning strategies, workflows, and execution performance.
  • Collaborate with Data Science and ML teams on evaluation, optimization, and continuous improvement.

Must-Have Experience & Skills

  • 5 10 years of software engineering experience with strong Python expertise.
  • 3+ years designing and implementing AI/ML solutions.
  • Hands-on experience building Generative AI applications using LLMs, RAG, and agentic frameworks (LangChain/LangGraph or equivalent; OpenAI SDK or similar).
  • Experience delivering enterprise-grade AI solutions in production.
  • Experience with distributed onshore/offshore team delivery.
  • Solid API/service engineering fundamentals (REST/async services, integration patterns).
  • Practical understanding of AI observability, evaluation, and production reliability.

Preferred Skills

  • Cloud AI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI, or similar).
  • Vector databases / search (pgvector, OpenSearch, Pinecone, Weaviate, or similar).
  • LLMOps tooling (tracing, eval harnesses, prompt/version management).
  • Enterprise integrations (SharePoint, Confluence, Salesforce).
  • Containerized deployment practices (Docker; Kubernetes a plus).
  • AI security, PII handling, and guardrail frameworks.

Soft Skills

  • Clear written and verbal communication with technical and business stakeholders.
  • Ability to own delivery end-to-end in a distributed team model.
  • Pragmatic trade-off judgment between speed, quality, cost, and governance.

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