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Python Java Jobs in Hempstead, NY (NOW HIRING)

Entry Level Python Developer

Union City, NJ · On-site

$55 - $75.75/hr

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. We welcome candidates with all visas and citizens to apply. We ...

Entry Level Python Developer

West New York, NJ · On-site

$54.50 - $75/hr

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. We welcome candidates with all visas and citizens to apply. We ...

AI enabled chatbot Langchain TensorFlow Java PyTorch RASA Python AI Experience: 10-14 yrs Required Skills: • Proven experience in developing AI agents, chatbots, or conversational AI systems. • ...

Senior developer ( Java / Python)

New York, NY

$62.75 - $79.75/hr

Excellent hands on understanding of Object oriented programming with ability to work in multiple technologies - Java / C++ 2. Python: Good hands on working knowledge of Python 3. Undertaken Design ...

Java/Backend Developer (Entry Level)

Corona, NY · On-site

$53.25 - $69/hr

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers. Who Should Apply ...

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Python Java information

See Hempstead, NY salary details

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How much do python java jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for python java in Hempstead, NY is $59.93, according to ZipRecruiter salary data. Most workers in this role earn between $50.00 and $69.76 per hour, depending on experience, location, and employer.

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

To thrive as a Python/Java Developer, you need strong programming skills in both Python and Java, along with a solid understanding of software development principles and a relevant degree or equivalent experience. Familiarity with integrated development environments (IDEs) like PyCharm or Eclipse, version control systems such as Git, and frameworks like Spring or Django is typically required. Excellent problem-solving abilities, collaboration, and effective communication are crucial soft skills for this role. These skills and qualifications enable developers to build robust, efficient applications and work effectively within development teams to deliver quality software solutions.

How do Python and Java developers typically collaborate within a software development team?

Python and Java developers often work together on projects that require leveraging the strengths of both languages, such as integrating backend services (Java) with data processing or scripting (Python). Collaboration usually involves regular code reviews, shared documentation, and using APIs or microservices for communication between components. Developers may use tools like Git, Jira, or Slack to coordinate tasks and ensure seamless integration. Working closely with other team members such as front-end developers, QA analysts, and project managers is also common to deliver well-rounded solutions.

Is Java outdated in 2026?

Java remains a widely used programming language in 2026, especially for enterprise applications, Android development, and backend systems. Its long-term support, large ecosystem, and ongoing updates ensure its relevance for developers, including those working with Java in various job roles. Staying current with Java versions and related frameworks is important for job competitiveness.

What are Python Java developers?

Python Java developers are software engineers who have expertise in both the Python and Java programming languages. They are skilled in building, maintaining, and optimizing applications that may use either or both languages, depending on project requirements. These developers can work on web development, data analysis, backend systems, and more, leveraging the strengths of both languages. Their versatility makes them valuable for teams that need solutions spanning multiple technologies.

What is the difference between Python Java vs Software Developer?

AspectPython Java
Primary LanguagePython and Java
Common CertificationsOracle Certified Java Programmer, Python Institute Certifications
Work EnvironmentSoftware development, web applications, data analysis
Industry UsageTech companies, finance, healthcare, startups

Python Java developers typically possess certifications in Java and Python, work in similar environments, and are employed across various industries. Both roles focus on software development, but Python Java developers often specialize in projects requiring both languages, such as web applications, data analysis, or backend systems. Understanding the differences helps employers and candidates align skills with job requirements effectively.

What jobs use Python and Java?

Jobs that require Python and Java include software developer, backend engineer, data scientist, and full-stack developer roles. These positions often involve building applications, data analysis, or automation, and typically require knowledge of both programming languages and related tools like databases and frameworks.

Is Java and Python enough to get a job?

For roles involving Python and Java, such as software development or programming positions, proficiency in both languages is often sufficient for entry-level jobs, especially when combined with understanding of algorithms, data structures, and version control tools. However, employers may also value additional skills like frameworks, databases, or cloud services, and certifications can enhance job prospects.

Will AI replace Python coders?

AI is unlikely to fully replace Python coders, as programming involves complex problem-solving, creativity, and understanding context that AI currently cannot replicate. Instead, AI tools can assist developers by automating repetitive tasks and enhancing productivity, making coding roles more efficient. Python developers who adapt to new technologies and expand their skills will remain valuable in the evolving tech landscape.
What cities near Hempstead, NY are hiring for Python Java jobs? Cities near Hempstead, NY with the most Python Java job openings:
Infographic showing various Python Java job openings in Hempstead, NY as of June 2026, with employment types broken down into 1% Internship, 82% Full Time, 10% Part Time, and 7% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $124,647 per year, or $59.9 per hour.

Gen AI / ML Full Stack Engineer, orchestration, Python/Java, RAG, LLMOps, Vectors, 12+ Mths Cont NYC

Zen & Art

Manhattan, NY • On-site

Other

Posted 16 days ago


Job description

Gen AI / ML Full Stack Engineer, orchestration, Python/Java, RAG, LLMOps, Vectors, 12+ Mths Cont NYC

JPC 3566

Level 3 : 5 to 8 Years of Industry exp

LOCATION: New York ( 3 days hybrid, inperson interview will be needed )

Duration : 12+ months

Title: Gen AI / ML Full Stack Engineer , orchestration framework (Langchains etc), Python/Java, RAG, LLMOps, Adv Vectors (ColBERT/chunking), production failures, Fixed Income / Lending Platforms 12+ Mths Cont NYC

Description:

Applied AI Engineer Overview

Morgan Stanleys Fixed Income Institutional Lending Technology team is building an enterprise grade GenAI workflow platform to enable document data extraction, embedded productivity assistants, and automated business workflows across business lines.

This is not a research or demo role.

We are seeking senior hands-on full stack engineers who have designed, built, and operated GenAI systems in production, and understand failure modes, evaluation, and governance as first class AI-powered systems.

What Youll Do Design and evolve reusable GenAI workflows used across Lending business lines.

  • Develop an enterprise grade AI-based document ingestion and data extraction capability, including traceability, confidence scoring, and human-in-the-loop review.
  • Build AI-powered assistants embedded in Lending systems using agentic workflows.
  • Deliver automated content and deck generation workflows for reporting and approvals.
  • Provide expert advice on GenAI architecture including model selection, orchestration patterns, and evaluation strategy.
  • Establish LLMOps practices: extraction accuracy, assistant reliability, prompts management, and audit monitoring.
  • Design and implement controls for entitlements, PII handling within open-source models in a regulated environment.
  • In the role you are expected to act as a hands-on technical expert, and it has a clear path to becoming a platform owner responsible for shared GenAI standards across Lending.

What Youll Bring

  • 2+, dedicated experience in practical application of GenAI solutions in an enterprise business environment.
  • Designing and operating GenAI orchestration frameworks in production beyond vendor examples (e.g., LangChain systems),
  • 5+ years of strong front-to-back engineering experience, focusing on AI ML platforms and workflows (Python or Java).
  • Proven experience building and operating production grade GenAI / LLM platforms, applying patterns such as RAG, tool/function calling, agentic workflows, and validated structured outputs.
  • Strong LLMOps expertise, including evaluation harnesses, prompt and version management, regression testing, observability, and reliability measurement in production systems.
  • Hands on experience building AI-first data ingestion pipelines with measurable quality, accuracy, and reliability.
  • Advanced retrieval experience advanced vector search, including multi vector and late interaction approaches (e.g., ColBERT, chunking), multi stage retrieval pipelines, metadata filtering, reranking.
  • Solid understanding of evaluation metrics and how they shape practical RAG system design (e.g., recall vs precision, latency vs quality, MRR, NDCG).
  • Experience operating GenAI systems through real production failures (model regressions, retrieval degradation, prompt drift, data quality issues) and designing mitigation strategies.
  • Nice to Have Fixed Income or Institutional Lending domain experience. Experience working in regulated environments with strong audit and control requirements.
  • Familiarity with enterprise security, data governance, and entitlement models.
  • Experience designing reusable internal platforms or shared developer tooling. Frontend experience is beneficial (Angular or React)