Working with other teams and departments to ensure Unix systems are integrated and functional. • Implement AI workflows using Python, agent frameworks, and orchestration tools • Develop LLM ...
Working with other teams and departments to ensure Unix systems are integrated and functional. • Implement AI workflows using Python, agent frameworks, and orchestration tools • Develop LLM ...
Working with other teams and departments to ensure Unix systems are integrated and functional. • Implement AI workflows using Python, agent frameworks, and orchestration tools • Develop LLM ...
Working with other teams and departments to ensure Unix systems are integrated and functional. • Implement AI workflows using Python, agent frameworks, and orchestration tools • Develop LLM ...
Python Developer
Phoenix, AZ · On-site
$50 - $68.75/hr
Required : • Advanced Python programming, experience with GenAI/LLM integration, data modeling, API development, and deploying solutions on GCP or AWS. • Experience Python, Generative AI, and ...
Python Developer
Phoenix, AZ · On-site
$50 - $68.75/hr
Required : • Advanced Python programming, experience with GenAI/LLM integration, data modeling, API development, and deploying solutions on GCP or AWS. • Experience Python, Generative AI, and ...
Role Description This is a contract, on-site role for a Python AI/ML Senior Engineer, based in ... Hands-on experience designing and deploying Generative AI Applications using LLM frameworks (e.g.
Quick apply
Role Description This is a contract, on-site role for a Python AI/ML Senior Engineer, based in ... Hands-on experience designing and deploying Generative AI Applications using LLM frameworks (e.g.
Python Developer
Phoenix, AZ · On-site
$50 - $68.75/hr
Required Skill and Experience Advanced Python programming, experience with GenAI/LLM integration, data modeling, API development, and deploying solutions on GCP or AWS. Experience Python, Generative ...
Python Developer
Phoenix, AZ · On-site
$50 - $68.75/hr
Required Skill and Experience Advanced Python programming, experience with GenAI/LLM integration, data modeling, API development, and deploying solutions on GCP or AWS. Experience Python, Generative ...
Python Developer
Phoenix, AZ · On-site
$50 - $68.75/hr
Required Skill and Experience Advanced Python programming, experience with GenAI/LLM integration, data modeling, API development, and deploying solutions on GCP or AWS. Experience Python, Generative ...
Python Developer
Phoenix, AZ · On-site
$50 - $68.75/hr
Required Skill and Experience Advanced Python programming, experience with GenAI/LLM integration, data modeling, API development, and deploying solutions on GCP or AWS. Experience Python, Generative ...
Gen AI Engineer
Phoenix, AZ · On-site
Job Title - Gen AI Engineer Location - Phoenix, AZ Duration: 12+ Months Interview Mode - In-Person Interview Tech Stack - AI / Agentic AI, LLM, RAG, FastAPI, GCP, Flask, Python, SQL, Docker ...
Quick apply
Gen AI Engineer
Phoenix, AZ · On-site
Job Title - Gen AI Engineer Location - Phoenix, AZ Duration: 12+ Months Interview Mode - In-Person Interview Tech Stack - AI / Agentic AI, LLM, RAG, FastAPI, GCP, Flask, Python, SQL, Docker ...
AI Engineer
Phoenix, AZ · On-site
$100K - $120K/yr
... LLM systems, agentic workflows or advanced ML infrastructure, async processing, queues, and streaming systems • Experience working on Typescript and Python, Gen AI, Agentic AI • Advanced ...
AI Engineer
Phoenix, AZ · On-site
$100K - $120K/yr
... LLM systems, agentic workflows or advanced ML infrastructure, async processing, queues, and streaming systems • Experience working on Typescript and Python, Gen AI, Agentic AI • Advanced ...
GenAI Python Systems Engineer-Manager
$99K - $232K/yr
... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ... LLM optimization - Implementing data integration solutions using AWS, Azure, GCP - Utilizing AWS ...
GenAI Python Systems Engineer-Manager
$99K - $232K/yr
... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ... LLM optimization - Implementing data integration solutions using AWS, Azure, GCP - Utilizing AWS ...
GenAI Python Systems Engineer - Senior Associate
Phoenix, AZ · On-site
$77K - $202K/yr
... Python, Java, Scala - Proficient in SQL and relational databases - Experience with Docker and ... LLM outputs - Designing thorough data architecture strategies - Implementing data integration ...
GenAI Python Systems Engineer - Senior Associate
Phoenix, AZ · On-site
$77K - $202K/yr
... Python, Java, Scala - Proficient in SQL and relational databases - Experience with Docker and ... LLM outputs - Designing thorough data architecture strategies - Implementing data integration ...
GenAI Python Systems Engineer -Senior Manager
Phoenix, AZ · On-site
$124K - $280K/yr
... is a plus - Proficient in Python and structured/unstructured data - Proficient in SQL and ... LLM outputs - Developing scalable data storage solutions using cloud services - Designing and ...
GenAI Python Systems Engineer -Senior Manager
Phoenix, AZ · On-site
$124K - $280K/yr
... is a plus - Proficient in Python and structured/unstructured data - Proficient in SQL and ... LLM outputs - Developing scalable data storage solutions using cloud services - Designing and ...
Strong hands-on expertise in Python and FastAPI development. * Experience building REST APIs, microservices, and backend integration services. * Experience working with Generative AI, LLM APIs, AI ...
Strong hands-on expertise in Python and FastAPI development. * Experience building REST APIs, microservices, and backend integration services. * Experience working with Generative AI, LLM APIs, AI ...
Strong hands-on expertise in Python and FastAPI development. * Experience building REST APIs, microservices, and backend integration services. * Experience working with Generative AI, LLM APIs, AI ...
Strong hands-on expertise in Python and FastAPI development. * Experience building REST APIs, microservices, and backend integration services. * Experience working with Generative AI, LLM APIs, AI ...
Strong hands-on expertise in Python and FastAPI development. * Experience building REST APIs, microservices, and backend integration services. * Experience working with Generative AI, LLM APIs, AI ...
Strong hands-on expertise in Python and FastAPI development. * Experience building REST APIs, microservices, and backend integration services. * Experience working with Generative AI, LLM APIs, AI ...
Strong proficiency with Python, SQL, FastAPI, and Docker * Experience integrating LLM APIs and working with at least one orchestration framework (LangChain or LangGraph) * Exposure to enterprise AI ...
Strong proficiency with Python, SQL, FastAPI, and Docker * Experience integrating LLM APIs and working with at least one orchestration framework (LangChain or LangGraph) * Exposure to enterprise AI ...
Strong hands-on expertise in Python and FastAPI development. * Experience building REST APIs, microservices, and backend integration services. * Experience working with Generative AI, LLM APIs, AI ...
Strong hands-on expertise in Python and FastAPI development. * Experience building REST APIs, microservices, and backend integration services. * Experience working with Generative AI, LLM APIs, AI ...
Data Architect
$61.50 - $79/hr
... LLM-powered conversational agents Strong proficiency in Python for data engineering, automation, and API integration. Experience building knowledgebases and conversational agents (Conversight or ...
Data Architect
$61.50 - $79/hr
... LLM-powered conversational agents Strong proficiency in Python for data engineering, automation, and API integration. Experience building knowledgebases and conversational agents (Conversight or ...
Full Stack Developer
Phoenix, AZ · On-site
Developing systems that retrieve enterprise data to enhance LLM responses. * Prompt Engineering ... Required Skills: * Need to have Python, JavaScript, and Angular (all must be on resume)
Full Stack Developer
Phoenix, AZ · On-site
Developing systems that retrieve enterprise data to enhance LLM responses. * Prompt Engineering ... Required Skills: * Need to have Python, JavaScript, and Angular (all must be on resume)
Generative AI Engineer
Phoenix, AZ · On-site
Responsibilities Develop GenAI applications and chatbots Work with LLM APIs Implement prompt engineering techniques Build retrieval-augmented generation (RAG) systems Requirements Strong Python ...
Generative AI Engineer
Phoenix, AZ · On-site
Responsibilities Develop GenAI applications and chatbots Work with LLM APIs Implement prompt engineering techniques Build retrieval-augmented generation (RAG) systems Requirements Strong Python ...
Senior Financial Analyst, AI Finance Transformation
Tempe, AZ · On-site
$83K - $103K/yr
Use Python, SQL, or AI/LLM tools to create scripts or bots that auto-generate reports and presentations, unlocking more time for interpretation and strategic partnership. * Develop Internal Tools ...
Senior Financial Analyst, AI Finance Transformation
Tempe, AZ · On-site
$83K - $103K/yr
Use Python, SQL, or AI/LLM tools to create scripts or bots that auto-generate reports and presentations, unlocking more time for interpretation and strategic partnership. * Develop Internal Tools ...
Python Llm information
See Phoenix, AZ salary details
$13.13 - $19.72
1% of jobs
$19.72 - $26.32
0% of jobs
$26.32 - $32.92
2% of jobs
$32.92 - $39.51
5% of jobs
$39.51 - $46.11
11% of jobs
$48.05 is the 25th percentile. Wages below this are outliers.
$46.11 - $52.70
18% of jobs
The median wage is $56.15 / hr.
$52.70 - $59.30
24% of jobs
$64.35 is the 75th percentile. Wages above this are outliers.
$59.30 - $65.90
18% of jobs
$65.90 - $72.49
13% of jobs
$72.49 - $79.09
5% of jobs
$79.09 - $85.69
3% of jobs
$13
$58
$85
How much do python llm jobs pay per hour?
As of Jul 22, 2026, the average hourly pay for python llm in Phoenix, AZ is $58.21, according to ZipRecruiter salary data. Most workers in this role earn between $47.98 and $66.11 per hour, depending on experience, location, and employer.
What is a Python LLM job?
A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.
What are the key skills and qualifications needed to thrive in the Python Llm position, and why are they important?
To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.
What are some common challenges faced by Python LLM Engineers in their daily work?
Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.
What are the most commonly searched types of Python Llm jobs in Phoenix, AZ? The most popular types of Python Llm jobs in Phoenix, AZ are:
What are popular job titles related to Python Llm jobs in Phoenix, AZ? For Python Llm jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Python Llm jobs in Phoenix, AZ look for? The top searched job categories for Python Llm jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Python Llm jobs? Cities near Phoenix, AZ with the most Python Llm job openings:
Full-time
Posted 12 days ago
Tata Consultancy Services rating
6.5
Based on 21 frontline employees who took The Breakroom Quiz
164th of 213 rated it services
Job description
Job Summary:
Tata Consultancy Services is seeking a Python Unix machine learning Support Engineer. The role involves configuring Unix systems, troubleshooting issues, automating tasks with Python, and developing machine learning models to enhance system performance.
Responsibilities:
• System Configuration: Configuring Unix systems to meet specific requirements and standards.
• Troubleshooting: Identifying and resolving issues with Unix systems and applications.
• Scripting: Automating repetitive tasks using Python scripts.
• Performance Optimization: Analyzing and improving the performance of Unix systems.
• Documentation: Creating and maintaining system documentation and guides.
• Collaboration: Working with other teams and departments to ensure Unix systems are integrated and functional.
• Implement AI workflows using Python, agent frameworks, and orchestration tools
• Develop LLM pipelines including prompt engineering, prompt chaining, memory, tool calling, and multi-agent coordination
• Integrate LLMs with enterprise systems and APIs
• These roles are essential for maintaining the reliability and efficiency of Unix-based systems, and Python skills can be leveraged to automate and streamline these tasks.
• Designed, developed, and deployed machine learning models using supervised and unsupervised learning techniques to solve real world business problems.
• Worked with Python ML libraries including Scikit learn, TensorFlow, PyTorch, Pandas, NumPy, and Matplotlib.
• Deployed models using REST APIs, Docker, or cloud platforms (AWS / Azure / GCP) to support production use cases.
Qualifications:
Required:
• BACHELOR OF COMPUTER SCIENCE
• 6 - 10 Years of experience
• Unix
• Shell Scripting
• Python
• Machine learning
• Production Support
• System Configuration: Configuring Unix systems to meet specific requirements and standards.
• Troubleshooting: Identifying and resolving issues with Unix systems and applications.
• Scripting: Automating repetitive tasks using Python scripts.
• Performance Optimization: Analyzing and improving the performance of Unix systems.
• Documentation: Creating and maintaining system documentation and guides.
• Collaboration: Working with other teams and departments to ensure Unix systems are integrated and functional.
• Implement AI workflows using Python, agent frameworks, and orchestration tools
• Develop LLM pipelines including prompt engineering, prompt chaining, memory, tool calling, and multi-agent coordination
• Integrate LLMs with enterprise systems and APIs
• Designed, developed, and deployed machine learning models using supervised and unsupervised learning techniques to solve real world business problems.
• Worked with Python ML libraries including Scikit learn, TensorFlow, PyTorch, Pandas, NumPy, and Matplotlib.
• Deployed models using REST APIs, Docker, or cloud platforms (AWS / Azure / GCP) to support production use cases.
Company:
Tata Consultancy Services (TCS) is the technology partner of choice for industry leading organizations worldwide. Founded in 1992, the company is headquartered in Puteaux, FRA, with a team of 10001+ employees. The company is currently Late Stage.
Tata Consultancy Services is seeking a Python Unix machine learning Support Engineer. The role involves configuring Unix systems, troubleshooting issues, automating tasks with Python, and developing machine learning models to enhance system performance.
Responsibilities:
• System Configuration: Configuring Unix systems to meet specific requirements and standards.
• Troubleshooting: Identifying and resolving issues with Unix systems and applications.
• Scripting: Automating repetitive tasks using Python scripts.
• Performance Optimization: Analyzing and improving the performance of Unix systems.
• Documentation: Creating and maintaining system documentation and guides.
• Collaboration: Working with other teams and departments to ensure Unix systems are integrated and functional.
• Implement AI workflows using Python, agent frameworks, and orchestration tools
• Develop LLM pipelines including prompt engineering, prompt chaining, memory, tool calling, and multi-agent coordination
• Integrate LLMs with enterprise systems and APIs
• These roles are essential for maintaining the reliability and efficiency of Unix-based systems, and Python skills can be leveraged to automate and streamline these tasks.
• Designed, developed, and deployed machine learning models using supervised and unsupervised learning techniques to solve real world business problems.
• Worked with Python ML libraries including Scikit learn, TensorFlow, PyTorch, Pandas, NumPy, and Matplotlib.
• Deployed models using REST APIs, Docker, or cloud platforms (AWS / Azure / GCP) to support production use cases.
Qualifications:
Required:
• BACHELOR OF COMPUTER SCIENCE
• 6 - 10 Years of experience
• Unix
• Shell Scripting
• Python
• Machine learning
• Production Support
• System Configuration: Configuring Unix systems to meet specific requirements and standards.
• Troubleshooting: Identifying and resolving issues with Unix systems and applications.
• Scripting: Automating repetitive tasks using Python scripts.
• Performance Optimization: Analyzing and improving the performance of Unix systems.
• Documentation: Creating and maintaining system documentation and guides.
• Collaboration: Working with other teams and departments to ensure Unix systems are integrated and functional.
• Implement AI workflows using Python, agent frameworks, and orchestration tools
• Develop LLM pipelines including prompt engineering, prompt chaining, memory, tool calling, and multi-agent coordination
• Integrate LLMs with enterprise systems and APIs
• Designed, developed, and deployed machine learning models using supervised and unsupervised learning techniques to solve real world business problems.
• Worked with Python ML libraries including Scikit learn, TensorFlow, PyTorch, Pandas, NumPy, and Matplotlib.
• Deployed models using REST APIs, Docker, or cloud platforms (AWS / Azure / GCP) to support production use cases.
Company:
Tata Consultancy Services (TCS) is the technology partner of choice for industry leading organizations worldwide. Founded in 1992, the company is headquartered in Puteaux, FRA, with a team of 10001+ employees. The company is currently Late Stage.
What Tata Consultancy Services employees say
Pay
Benefits
Hours and flexibility
Workplace
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About Tata Consultancy Services
Sourced by ZipRecruiter
Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.