1

Python Gen Ai Jobs (NOW HIRING)

Title - AI/ML Engineer ( Must Have skills - Python, Gen AI, ML Modeling, SQL, Pytorch) Location - New York, NY ( Hybrid 3 days onsite) F2F Final Round * Analyze large and complex datasets to derive ...

InterSources Inc is seeking a Gen AI Engineer to join their team. The role involves developing AI ... Required : • Strong hands-on Python knowledge • Hands-on experience in developing API ...

Role : Gen AI ML Engineer Location :Charlotte, NC Hire type : Contract Qualifications * Bachelor ... Excellent hands on experience in Python, LLM, RAG, Vector Databases, LangChain, LangGraph, Google ...

Gen-AI Engineers

Jersey City, NJ · On-site

$65 - $70/hr

Gen-AI Engineer Location: NJ/NY Area Experience Required: 6-8 years Positions: 4 End Customer ... Strong experience with Python and AI/ML libraries. * Hands-on experience with LLMs such as OpenAI ...

Gen AI Engineer

Plano, TX · On-site

$130K - $150K/yr

Must Have Technical/Functional Skills Roles & Responsibilities • Design and implement Gen AI ... with Python or Java. • Hands-on experience with AWS Bedrock. • Understanding of foundation ...

InterSources Inc is seeking a Gen AI Engineer to join their team. The role involves developing AI ... Required : • Strong hands-on Python knowledge • Hands-on experience in developing API ...

InterSources Inc is seeking a Gen AI Engineer to join their team. The role involves developing AI ... Required : • Strong hands-on Python knowledge • Hands-on experience in developing API ...

GEN AI Architect Location: Plano, TX - Onsite Role: Gen AI Architect Industry: Telecom - BSS/OSS ... Hands-on Python and SQL * Strong ETL/ELT experience * Proven end-to-end Data Migration experience ...

Showing results 41-60

Python Gen Ai information

See salary details

$13

$58

$86

How much do python gen ai jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for python gen ai in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is a Python Gen AI engineer?

A Python Gen AI engineer is a professional who develops and implements generative artificial intelligence solutions using the Python programming language. They design, build, and deploy AI models capable of generating new content such as text, images, or code, often using frameworks like TensorFlow or PyTorch. These engineers work with large datasets, fine-tune pre-trained models, and integrate AI systems into applications to solve real-world problems. Their expertise bridges the gap between software engineering and machine learning, particularly in the emerging field of generative AI.

What are the key skills and qualifications needed to thrive as a Python Gen AI engineer?

To thrive as a Python Generative AI Engineer, you need a solid background in Python programming, machine learning, and deep learning, typically supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, PyTorch, Hugging Face Transformers, and cloud platforms, as well as relevant certifications, is common. Strong problem-solving abilities, creativity, and effective communication are standout soft skills for this role. These skills and qualities are essential for building, optimizing, and deploying innovative AI models that address real-world challenges.

How does a Python Gen AI engineer typically collaborate with cross-functional teams on machine learning projects?

As a Python Gen AI engineer, you will frequently work alongside data scientists, product managers, and software engineers to develop and deploy generative AI models. Collaboration often involves participating in model design discussions, translating business requirements into technical specifications, and integrating AI solutions into existing products. Effective communication and teamwork skills are crucial, as you may also be responsible for explaining complex model behaviors and results to non-technical stakeholders. Regular code reviews, sprint meetings, and joint problem-solving sessions are common aspects of the work environment.

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

AspectPython Gen AiData Scientist
Required CredentialsProficiency in Python, AI frameworks, and machine learningDegree in Data Science, Statistics, or related fields; Python skills often required
Work EnvironmentTech companies, AI startups, R&D labsCorporate, finance, healthcare, tech industries
Industry UsageDeveloping AI models, automation, NLP applicationsData analysis, predictive modeling, business insights
Search & Comparison IntentFocus on AI development with PythonData analysis and insights with Python skills

Python Gen Ai specialists focus on developing AI models and applications using Python, often working in AI-specific environments. Data Scientists analyze data to generate insights, frequently utilizing Python as a tool. While both roles require Python skills, Python Gen Ai roles are more specialized in AI development, whereas Data Scientists focus on data analysis and interpretation.

What cities are hiring for Python Gen Ai jobs?

Cities with the most Python Gen Ai job openings:

What states have the most Python Gen Ai jobs?

States with the most job openings for Python Gen Ai jobs include:

What other helpful pages are available for Python Gen Ai?

Other pages related to Python Gen Ai:

Infographic showing various Python Gen Ai job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

GEN AI Architect

New York, NY • On-site

Accord Technologies Inc.
IT Services • 51 - 200 employees

Full-time

Re-posted 21 days ago


Job description

GEN AI Architect
Location: NYC, NY
Duration: Long Term
Onsite from day one
Position type: W2 contract (daily rate)

The Gen AI Specialist will leverage advanced Generative AI models and Azure OpenAI services to develop innovative solutions for investment banking processes. The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG). 

 Key Responsibilities: 

  • Design, develop, and implement Generative AI solutions tailored to investment banking needs. 
  • Utilize Microsoft Azure OpenAI services to build and optimize AI models. 
  • Apply RAG techniques to improve information retrieval and decision-making processes. 
  • Collaborate with cross-functional teams including AI, data science, and investment banking divisions. 
  • Develop prototypes and proof-of-concept models for internal stakeholders. 
  • Ensure compliance with data security, privacy policies, and industry regulations. 
  • Stay updated with the latest trends and advancements in AI, especially related to RAG and Azure OpenAI. 

 Qualifications: 

  • Proven experience in investment banking or financial services. 
  • Extensive hands-on experience with Microsoft Azure OpenAI services. 
  • Strong understanding and practical experience with Retrieval-Augmented Generation (RAG). 
  • Proficiency in programming languages such as Python. 
  • Knowledge of AI model deployment and API integration. 
  • Excellent problem-solving skills and ability to work in a fast-paced environment. 
  • Strong communication skills and ability to convey technical concepts to non-technical stakeholders. 
  • Certifications in Azure or AI-related fields. 
  • Experience with large language models (LLMs) and their application in finance. 
  • Prior experience in developing secure and scalable AI solutions.