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Gen Ai Engineer Jobs (NOW HIRING)

@Orchard

AI Engineer - Gen AI & NLP

Washington, DC · Remote

Artificial Intelligence AI Engineer - Gen AI, NLP Talent Pool for upcoming assignments Remote, Work-from-Home Must be a U.S. Citizen able to obtain Secret Clearance. @Orchard LLC is anticipating a ...

Photon

Gen AI Lead - TX

Irving, TX · On-site

$15.50 - $18.75/hr

Lead a team of Gen AI developers and specialists, providing mentorship, guidance, and fostering their technical growth. * Design and architect complex Gen AI solutions leveraging Large Language ...

Photon

Gen AI Lead - TX

Irving, TX · On-site

$15.50 - $18.75/hr

Lead a team of Gen AI developers and specialists, providing mentorship, guidance, and fostering their technical growth. * Design and architect complex Gen AI solutions leveraging Large Language ...

Infosys

Gen AI Engineer

Charlotte, NC · On-site

$111K - $134K/yr

... Gen AI, Agentic AI, Python Full stack, Rest API, MCP Prompt engineering & prompt chaining Conversational AI design patterns Strong programming experience in Python Preferred Skill and Experience ...

Virtual Networx

Gen AI/ ML Engineer

Atlanta, GA · Hybrid

Job Role : Gen AI/ ML Engineer Location: Atlanta, GA Duration:6 months GPT, LLaMA, Claude, BERT, PEFT/LoRA, LangChain, RAG Pipelines, Vector Databases, Semantic Search, Azure, Docker Skills:

Infosys Limited Digital

Gen AI Engineer

Charlotte, NC · On-site

$111K - $134K/yr

... Gen AI, Agentic AI, Python Full stack, Rest API, MCP Prompt engineering & prompt chaining Conversational AI design patterns Strong programming experience in Python Preferred Skill and Experience ...

Techwave

Engineer- Gen AI/ AI DevOps (Gen DevOps) Experience: 3-5Years of experience Location: Hyderabad Summary The Product Operations Engineer executesdaytodayoperational work to ensure products run ...

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All JobsGen Ai Engineer Jobs

Gen Ai Engineer information

See salary details

$59.5K

$111.6K

$203K

How much do gen ai engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for gen ai engineer in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Gen AI Engineer, and why are they important?

To thrive as a Gen AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically supported by a relevant degree and experience with AI model development. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms such as AWS or Google Cloud, and proficiency in programming languages like Python are essential, as are certifications in AI or cloud technologies. Strong problem-solving skills, creativity, and the ability to communicate complex concepts effectively help you stand out in this role. These skills and qualities are crucial for building innovative AI solutions that meet business needs and drive technological advancement.

What are Gen AI Engineers?

Gen AI Engineers are professionals who design, develop, and deploy generative artificial intelligence systems, such as large language models and image generators. They combine expertise in machine learning, deep learning, and software engineering to build applications that can create new content, automate tasks, and solve complex problems. Gen AI Engineers often work with frameworks like TensorFlow or PyTorch and collaborate with data scientists and product teams to bring generative AI solutions into real-world products.

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

AspectGen Ai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI frameworksDegree in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentTech companies, AI startups, R&D labsBusiness analytics, research institutions, tech firms
Employer & Industry UsageDevelops generative AI models, focuses on AI product developmentAnalyzes data, builds predictive models, supports decision-making
Search & Comparison IntentUnderstanding AI-specific roles, skills, and responsibilitiesData analysis, insights, and statistical modeling

While both roles involve working with data and AI technologies, a Gen Ai Engineer primarily focuses on developing and deploying generative AI models, whereas a Data Scientist emphasizes analyzing data to extract insights and build predictive models. The roles often overlap in skills and work environment but differ in their core objectives and applications.

What are some common challenges Gen AI Engineers face when deploying AI models in production environments?

Gen AI Engineers often encounter challenges such as ensuring model scalability, managing computational resources efficiently, and maintaining data privacy when deploying AI models. Additionally, integrating generative models with existing systems can require significant collaboration with DevOps and software engineering teams. Monitoring model performance in real-time and addressing issues like model drift or unexpected outputs are also critical responsibilities to ensure robust and reliable AI solutions.
More about Gen Ai Engineer jobs
What cities are hiring for Gen Ai Engineer jobs? Cities with the most Gen Ai Engineer job openings:
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Gen Ai Engineer jobs near you
Infographic showing various Gen Ai Engineer job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $111,632 per year, or $53.7 per hour.

AI Engineer - Gen AI & NLP

@Orchard

Washington, DC • Remote

Full-time

Posted 7 days ago

Job description

Artificial Intelligence AI Engineer – Gen AI, NLP

Talent Pool for upcoming assignments

Remote, Work-from-Home

Must be a U.S. Citizen able to obtain Secret Clearance.

@Orchard LLC is anticipating a need for several AI Engineers experienced in Generative AT, and Natural Language Programming (NLP) to support the Federal Government on several remote assignments. Our objective is to identify qualified and interested prospects so that we are ready to react rapidly as needs arise. You will need to be a US citizen with the ability to obtain a clearance.

Your responsibilities as a Data Engineer.

  • Design and implement GenAI-powered solutions (LLMs, embeddings, prompt orchestration)
  • Develop NLP pipelines and text-based data processing systems
  • Integrate AI/ML capabilities into production data environments
  • Evaluate model performance, scalability, and reliability
  • Support deployment of AI solutions in mission-critical environments
  • Deliver client-facing data solutions in federal environments
  • Translate business needs into production-grade technical systems
  • Operate in Agile teams and support the full delivery lifecycle
  • Develop audit-ready documentation, SOPs, and technical artifacts
  • Contribute to Iberia’s internal platforms, accelerators, and innovation

Your background will include.

  • Experience in AI/ML engineering, analytics, or software development.
  • Experience with NLP, LLMs, or advanced analytics.
  • Proficiency in Python and SQL
  • Strong problem-solving skills and technical execution ability
  • Ability to operate effectively in client-facing consulting environments
  • Experience supporting federal or regulated environments

Preferred Knowledge, Skills, & Abilities.

  • Experience with cloud environments (Azure, AWS, GCP)
  • API development and system integration
  • Familiarity with data governance, auditability, and secure data handling

Compensation: Compensation for this role will be determined based on the role level, plus your experience and qualifications. The expected base salary range is between $120K, & $230K. Generous benefits, bonus eligibility, and significant professional development support are all available.

Established in 2010, @Orchard has an exceptional reputation, providing staffing solutions to time-sensitive, talent scarcity issues to deliver better talent management ROI. Our specialty lies in the critical area of program talent acquisition and resource management, not in one narrow skillset, but across many areas of technical and functional delivery. To learn more about our other exciting opportunities, visit our Jobs Page at www.atorchard.com.