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Python Gen Ai Jobs (NOW HIRING)

Should be specialized in building & deploying Gen AI applications on Azure commercial/gov cloud proficient at Python, LLM prompting, Azure OpenAI service, and other Gen AI related Azure services such ...

Lead Developer - Python , Gen AI

Irving, TX · Hybrid

$134K - $165K/yr

Education, Experience, & Skill Requirements 6-9 years of professional software development experience with a strong emphasis on Python. Strong familiarity in applying Generative AI capabilities ...

Lead Developer - Python , Gen AI

Irving, TX · Hybrid

$134K - $165K/yr

Education, Experience, & Skill Requirements 6-9 years of professional software development experience with a strong emphasis on Python. Strong familiarity in applying Generative AI capabilities ...

Gen AI Lead

Dallas, TX · On-site

$138K - $170K/yr

AI/ML Development, Generative AI, LLMs, Python, Web Frameworks, MLOps, Data Engineering Role ... Gen AI & Agents - Prompt Engineering, RAG, Vector DB, Agentic Frameworks, MCP, Large Language ...

AI & Gen AI - Products & Tools Role Descriptions: Must Have Technical Functional Skills Technically strong in Python Can code Agents| create Architectures and innovate Must know to program Agents in ...

New

Key Responsibilities • Proficiency in technologies like Agentic AI, Gen AI, RAG, Python, Lang Graph, Lang Chain • Design, build, and deploy agentic AI systems using generative AI models, agent ...

Gen AI ML Engineer Location :Charlotte, NC Hire type : Contract Qualifications • Bachelor ... Python, and experience with machine learning development, deployment, frameworks (like TensorFlow ...

Tata Consultancy Services is seeking a Gen AI Engineer to contribute to AI workflow development and ... Required : • Strong hands-on Python knowledge • Hands-on experience in developing API ...

Gen AI Architect

San Jose, CA

$73.75 - $97.25/hr

Job Summary Gen AI Architect with AWS and Mush Have Gen Agentic AI AWS Bedrock and eco system Key ... Python LangChain LLMs Technical Leadership Guide development teams in building training and ...

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How much do python gen ai jobs pay per hour?

As of Jun 11, 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 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 are the key skills and qualifications needed to thrive as a Python Generative AI Engineer, and why are they important?

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 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.

GEN AI Architect

Nastech Global

Charlotte, NC • On-site

Full-time

Posted 16 hours ago


Job description

Job Title: GEN AI Architect
Location: Charlotte, NC(Onsite)
Job Type: Full Time
 
Job Description
Worked on Agentic AI Wokrflows.
Should be specialized in building & deploying Gen AI applications on Azure commercial/gov cloud
proficient at Python, LLM prompting, Azure OpenAI service, and other Gen AI related Azure services such as Azure AI search
excellent analysis & problem-solving skills; any prior experience in data mapping & transformation work is strongly preferred
Expertise in AI system architecture and experience with designing large-scale distributed systems.
In-depth understanding of deep learning frameworks like TensorFlow, PyTorch, or similar.
Strong background in cloud computing platforms (AWS, GCP, Azure) and familiarity with DevOps practices.
Experience in deploying and maintaining AI systems in production environments.
Solid understanding of machine learning, NLP, computer vision, and other relevant AI fields.
Proven experience in collaborating with cross-functional teams, including product managers, researchers, and business leaders.
Strong leadership, mentoring, and communication skills