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Python Go Developer Jobs in Monticello, NY (NOW HIRING)

AI Architect

Florida, NY

$64.75 - $85.50/hr

Sharing product and go-to-market feedback based on customer and field experience This role requires ... Comfortable working with common programming languages such as Python, JavaScript, or similar, and ...

Python Go Developer information

See Monticello, NY salary details

$13

$57

$85

How much do python go developer jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for python go developer in Monticello, NY is $57.95, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $65.82 per hour, depending on experience, location, and employer.

Is Python a poisonous snake?

Python is a type of large non-venomous snake found in Africa, Asia, and Australia. In the context of a Python Go Developer role, the term 'Python' refers to a popular programming language, not the animal. It is important to distinguish between the programming language and the snake when discussing job skills or requirements.

What's harder, C++ or Python?

For a Python Go Developer, C++ is generally considered more complex due to its lower-level features, manual memory management, and stricter syntax. Python is often easier to learn and use because of its simplicity and high-level abstractions, but C++ offers more control over system resources, which can increase difficulty for developers. The choice depends on the project requirements and the developer's experience with programming languages.

What exactly is Python used for?

Python is a versatile programming language used by Python Go Developers for tasks such as web development, data analysis, automation, machine learning, and scripting. Its readability and extensive libraries make it popular for rapid development and integration with other technologies.

Is Python difficult to learn?

Python is considered one of the easier programming languages to learn due to its simple syntax and readability, making it suitable for beginners and experienced developers alike. For a Python Go Developer, understanding Python fundamentals can help in integrating different technologies and tools efficiently.

How do Python Go Developers typically balance working with both languages on a day-to-day basis?

Python Go Developers often split their time based on the specific requirements of a project—using Python for tasks like scripting, automation, or rapid prototyping, and Go for building high-performance backend services or microservices. Collaboration with other team members is common, as developers may integrate Python components with Go-based systems, requiring effective communication and code documentation. Staying adaptable and comfortable context-switching between languages is key, and most teams encourage continuous learning to keep skills sharp in both ecosystems.

What are Python Go Developers?

Python Go Developers are software engineers who specialize in writing and maintaining applications using both the Python and Go (Golang) programming languages. These professionals leverage the strengths of both languages—Python for rapid development and scripting, and Go for high-performance, concurrent backend services. Their work often involves building scalable web applications, APIs, or microservices, integrating systems, and optimizing performance. Employers value Python Go Developers for their versatility and ability to choose the best tool for each task.

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

To thrive as a Python Go Developer, you need strong proficiency in both Python and Go programming languages, experience with software development life cycles, and often a relevant degree in computer science or a related field. Familiarity with frameworks (such as Flask or Gin), RESTful APIs, version control systems like Git, and cloud platforms such as AWS or GCP is typically expected. Effective problem-solving, teamwork, and strong communication skills help developers collaborate and adapt to evolving project needs. Mastery of these skills ensures efficient delivery of high-quality, scalable software solutions in dynamic technical environments.

What is the difference between Python Go Developer vs Java Developer?

AspectPython Go DeveloperJava Developer
Required CredentialsBachelor's in Computer Science or related, knowledge of Python and GoBachelor's in Computer Science or related, knowledge of Java
Work EnvironmentTech companies, startups, cloud servicesEnterprise software, financial institutions, large-scale applications
Industry UsageWeb development, cloud computing, microservicesBackend systems, Android apps, enterprise solutions
Common Search IntentDevelopers working with Python and Go, multi-language projectsDevelopers focusing on Java-based applications

The main difference between a Python Go Developer and a Java Developer lies in the programming languages they specialize in. Python Go Developers work with Python and Go for modern, scalable, and cloud-native applications, often in startups and tech firms. Java Developers focus on Java for enterprise-level solutions, especially in large organizations. Both roles require similar educational backgrounds but differ in language expertise and typical work environments.

What cities near Monticello, NY are hiring for Python Go Developer jobs? Cities near Monticello, NY with the most Python Go Developer job openings:
Infographic showing various Python Go Developer job openings in Monticello, NY as of June 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 66% Full Time, 6% Part Time, 1% Temporary, and 25% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $120,542 per year, or $58 per hour.
AI Architect

$64.75 - $85.50/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 7 days ago


Job description

Be the one building AI-powered experiences where they matter most.

At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.

Help build, support and operate technology used by more than 8,000 organizations in over 100 countries - moving AI from possibility to production in real-world enterprise environments every day.


The Genesys AI Architect is a presales AI specialist who supports customer-facing AI opportunities across three core motions:


  • Supporting strategic AI opportunities with customers and sales teams
  • Helping scale the field through reusable assets, technical enablement, and coaching
  • Sharing product and go-to-market feedback based on customer and field experience

This role requires a strong foundation in AI, customer experience technology, sales

communication, and solution design. The AI Architect helps translate complex AI capabilities into clear business value, supports technical discovery and demonstrations, and partners with internal teams to help customers validate and adopt Genesys AI solutions.


Key Responsibilities

  • Design AI solutions for customer experience use cases, including self-service, agent assistance, journey management, and back-office automation. Support solution designs that combine LLMs, deterministic workflows, tools, orchestration layers, fallback strategies, and human handoff patterns.
  • Support retrieval-augmented generation, knowledge, and content strategies that help ground AI responses in trusted enterprise data. Assist with approaches for content structure, chunking, retrieval, relevance, and freshness while balancing performance, latency, and governance considerations.
  • Help define AI evaluation approaches and quality measurement strategies for customer-facing AI experiences. Support the creation of test sets, feedback loops, and success metrics tied to accuracy, containment, customer satisfaction, business impact, and adoption.
  • Assist in designing contextual AI experiences that use real-time data, conversation state, customer information, interaction history, and external signals to create more relevant and personalized customer and employee experiences.
  • Support solution design decisions related to scalability, latency, reliability, and cost efficiency in enterprise environments. Help evaluate trade-offs across model selection, caching, orchestration, architecture patterns, and production-readiness considerations.
  • Leverage strong working knowledge of Genesys AI capabilities to articulate and demonstrate product value to customers and prospects.
  • Support presales activities including technical discovery, solution design, product demonstrations, sandbox and trial engagements, AI integration guidance, and value assessments.
  • Design and deploy AI prototypes in sandbox and/or customer development environments to validate use cases, integrations, latency, success criteria, and differentiated Genesys AI value.
  • Partner with account teams and Professional Services to help transition successful prototypes into production pilots, including technical handoff, solution hardening, KPI alignment, and business outcome validation.
  • Build and support integrations to third-party systems via RESTful APIs and emerging interoperability patterns, showcasing what is possible with Genesys Cloud AI solutions.
  • Develop reusable technical assets and help enable Solution Consultants, partners, and account teams through workshops, coaching, and scalable technical content.
  • Provide field feedback and customer insights to Product Management and Engineering related to AI product design, implementation considerations, and customer-driven enhancements.
  • Engage with technical and business stakeholders to position Genesys AI as part of a customer's broader customer experience, IT, and transformation strategy.

Requirements

  • AI Architecture & Technical Judgment: Hands-on experience supporting or designing AI solutions for customer experience, contact center, automation, or enterprise workflow use cases. Familiarity with classic ML, NLU/NLP, retrieval-based systems, LLMs, orchestration patterns, tool use, and agentic approaches. Ability to evaluate architecture trade-offs across latency, cost, explainability, governance, multilingual needs, and business risk.
  • Agentic Coding & Automation Experience: Practical experience using AI-assisted or agentic coding tools to build, test, debug, and iterate on solution prototypes, integrations, and automation workflows. Comfortable working with common programming languages such as Python, JavaScript, or similar, and able to apply coding skills to accelerate technical validation, API integrations, and proof-of-value development.
  • Prompt Design & AI Workflow Optimization: Practical experience designing prompts, context strategies, and AI workflow patterns as part of broader solution design.
  • Integration & Real-Time Design: Practical experience integrating AI or cloud solutions with enterprise platforms, knowledge sources, RESTful APIs, identity systems, event-driven architectures, or broader cloud ecosystems. Understanding of real-world constraints such as voice latency, fallback paths, throughput, reliability, and secure data access.
  • Evaluation, Governance & Observability: Ability to support AI evaluation strategies, success metrics, and monitoring approaches across testing, retrieval quality, tool-call accuracy, safety, drift, auditability, and cost control.
  • Communication & Field Enablement: Strong ability to explain technical concepts in clear business terms for both technical and non-technical stakeholders. Comfortable creating reusable assets, workshops, and enablement content that help scale field capability.
  • Technical Demonstration Skills: Ability to create, deliver, and adapt compelling technical demonstrations and presentations that explain AI capabilities, integration points, and business impact.
  • Sales Acumen: Experience partnering with sales teams to understand customer challenges and provide AI-focused technical solutioning that supports opportunity progression.
  • Business Value Orientation: Ability to identify opportunities for process improvement and recommend AI-driven solutions that improve customer experience, operational efficiency, and measurable business outcomes.
  • Stakeholder Presence: Ability to engage confidently with customer stakeholders, including technical leaders, business leaders, and executive audiences.
  • Strong understanding of Genesys Cloud and Genesys AI preferred.

Compensation:

This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location. This role might also be eligible for a commission or performance-based bonus opportunities.

$111,700.00 - $196,300.00

Benefits:

  • Medical, Dental, and Vision Insurance.

  • Telehealth coverage

  • Flexible work schedules and work from home opportunities

  • Development and career growth opportunities

  • Open Time Off in addition to 10 paid holidays

  • 401(k) matching program

  • Adoption Assistance

  • Fertility treatments

Click here to view a summary overview of our Benefits.


Working at Genesys

  • AI at enterprise scale- Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+new AI features were released in the last fiscal year.
  • A flexible-first culture - Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work.
  • Growth in the AI era - Build future-ready skills through mentorship, learning programs, leadership development and education support.
  • Time to recharge and give back - Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families.
  • Recognized globally - Genesys is Great Place to Work certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.

Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report.


What Happens After You Apply

After you apply, here's what you can typically expect:

  • Our Talent Acquisition team reviews your application with the hiring team.
  • A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview.
  • Next, you'll meet the hiring manager and other members of the interview team.
  • We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases.
  • After interviews are complete, our team will follow up with the final steps.

Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process.


Stay Connected

Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.

Get notified about relevant opportunities.


Be the one building what's next - where AI, experience and impact come together.

Employee Referral

If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral.


About Genesys:

Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visitwww.genesys.com.


Reasonable Accommodations:

If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com.


You can expect a response within 24-48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.

This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation-such as application follow-ups or resume submissions-may not receive a response.


Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression,marital status, domestic partner status,national origin, genetics, disability,military andveteran status, and other protected characteristics.


Please note that recruiters will never ask for sensitive personal or financial information during the application phase.