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Prompt Engineering Jobs in Dallas, PA (NOW HIRING)

Senior Engineer- Python

Dallas, PA · On-site

$60K - $135K/yr

... prompt engineering, or AI/ML application development; familiarity with frameworks like LangChain, LangGraph, or similar orchestration tools. ͏ Nice to Have Skills: Experience with event-driven ...

... prompt engineering, tool-use patterns, RAG pipelines, and agent reliability/observability. ͏ Nice to Have Skills: Experience with Kubernetes/container orchestration, cloud platforms (AWS/Azure/GCP ...

Senior Data Scientist

Dallas, PA · On-site

$60K - $135K/yr

... prompt engineering, classifiers, knowledge bases, RAG solutions, LLMs as judges, etc. Hands-on experience with ML/AI pipeline development and productionization (model deployment, orchestration ...

Communicates to station management concerns with work activities to ensure prompt attention ... Familiar with the roles and responsibilities of operations, maintenance, engineering, procurement ...

Communicates to station management concerns with work activities to ensure prompt attention ... Familiar with the roles and responsibilities of operations, maintenance, engineering, procurement ...

Communicates to station management concerns with work activities to ensure prompt attention ... Familiar with the roles and responsibilities of operations, maintenance, engineering, procurement ...

Prompt Engineering information

See Dallas, PA salary details

$31.5K

$61K

$92.5K

How much do prompt engineering jobs pay per year?

As of Aug 19, 2026, the average yearly pay for prompt engineering in Dallas, PA is $61,004.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $69,700.00 per year, depending on experience, location, and employer.

What is prompt engineering?

A Prompt Engineering job involves designing, refining, and optimizing prompts to improve the performance of AI language models. Prompt engineers work with large language models (LLMs) to generate accurate, relevant, and high-quality responses. They experiment with different phrasing techniques, fine-tune AI outputs, and collaborate with developers to enhance model capabilities. This role is essential in ensuring AI systems provide reliable and useful responses for various applications.

What skills and qualifications are needed for prompt engineering?

To excel in Prompt Engineering, a strong grasp of natural language processing (NLP), machine learning concepts, and analytical thinking is essential, often supported by a degree in computer science or a related field. Familiarity with AI platforms, code repositories (such as GitHub), and prompt development tools is typically required. Excellent problem-solving, creativity, and cross-functional communication skills help Prompt Engineers effectively collaborate and refine model outputs. These capabilities enable the creation of precise, effective prompts driving high-quality AI responses in rapidly evolving technical environments.

What are the most common challenges faced by prompt engineers in their daily work?

Prompt Engineers frequently encounter challenges such as ensuring the clarity and relevance of prompts to achieve accurate AI responses, troubleshooting inconsistent model behavior, and staying updated with evolving AI technologies. Balancing experimentation with efficiency is often essential, as iterative testing and refinement are core parts of the workflow. Collaboration with data scientists, product managers, and other engineers is common, requiring adaptability and strong communication skills. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and innovation.

Is prompt engineering still in demand?

Prompt engineering is currently in high demand as organizations seek experts to optimize interactions with AI language models. The role requires skills in natural language processing, prompt design, and familiarity with AI tools, making it a valuable specialization in AI development and deployment.

What do you do as a prompt engineer?

A prompt engineer designs and refines prompts to optimize the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like AI development platforms to improve accuracy and relevance in outputs.

What are popular job titles related to Prompt Engineering jobs in Dallas, PA?

For Prompt Engineering jobs in Dallas, PA, the most frequently searched job titles are:

What job categories do people searching Prompt Engineering jobs in Dallas, PA look for?

The top searched job categories for Prompt Engineering jobs in Dallas, PA are:

What cities near Dallas, PA are hiring for Prompt Engineering jobs?

Cities near Dallas, PA with the most Prompt Engineering job openings:

Infographic showing various Prompt Engineering job openings in Dallas, PA as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $61,004 per year, or $29.3 per hour.

Senior Engineer- Python

Wipro Limited

Dallas, PA • On-site

$60K - $135K/yr

Full-time

Medical, Dental, PTO

Posted 7 days ago


Wipro rating

7.8

Company rating: 7.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

87th of 224 rated it services


Job description

Job Title: Senior Engineer- Python
City: Dallas
State/Province: Texas
Posting Start Date: 8/10/26
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description:
Job Description
As a Software Engineer on the Agentic System Layer (ASL) team, you will build and maintain the core platform components that power client agentic AI systems. Day-to-day responsibilities include: developing and maintaining agent orchestration services, tool registries, and execution runtimes; building APIs and microservices for LLM integration, prompt management, and agent lifecycle management; implementing observability, logging, and monitoring for agentic workflows; writing comprehensive tests (unit, integration, end-to-end) for platform reliability; collaborating with architects on design decisions and with ML engineers on model integration; participating in on-call rotations for production support of the AI platform; contributing to CI/CD pipelines, infrastructure-as-code, and deployment automation.
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Required Skills:
1) 5+ years software engineering experience with strong proficiency in Python, plus working knowledge of at least one of Java, Go, or TypeScript; hands-on experience building production REST/gRPC APIs and microservices.
2) Solid experience with cloud platforms (AWS or Azure preferred), containerization (Docker/Kubernetes), CI/CD pipelines, and infrastructure-as-code (Terraform, CloudFormation, or Pulumi).
3) Working experience with LLM integration patterns, prompt engineering, or AI/ML application development; familiarity with frameworks like LangChain, LangGraph, or similar orchestration tools.
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Nice to Have Skills:
Experience with event-driven architectures (Kafka, EventBridge), vector databases, observability tools (Datadog, Splunk, OpenTelemetry), agent evaluation frameworks, FastAPI/Flask, async Python, Redis/caching patterns, airline or travel industry experience.
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What Makes a Great Candidate?:
A great candidate is a solid mid-level to senior engineer who writes clean, testable code and has genuine curiosity about AI/ML systems. They do not need to be a deep ML expert, but they should understand how LLMs work, what agentic patterns look like, and how to build reliable services around non-deterministic components. They take ownership, write good tests, communicate clearly in code reviews, and are comfortable operating production systems.
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Mandatory Skills: AI ML Governance Product Engineering.
Experience: 5-8 Years.
The expected compensation for this role ranges from $60,000 to $135,000 .
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

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