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Weekend Generative Ai Prompt Engineer Jobs (NOW HIRING)

Appian Corporation

AI Prompt Engineer

Mclean, VA · On-site

$100K - $225K/yr

We are seeking an AI Prompt Engineer to be the builder behind our "AI-First" transformation. You will be part of the Business Technology AI Engineering team, building production-grade AI solutions ...

MDAEdge

Generative AI Engineer

Austin, TX · On-site

... prompt engineering techniques. • Implement few-shot prompting strategies for improved LLM ... Required : • Designed and developed scalable generative AI platforms for enterprise use cases ...

Steampunk

Prompt Engineer

Mclean, VA

$115K - $140K/yr

We are seeking a Prompt Engineer design, test, and refine interaction patterns for generative AI systems used across our client engagements. This role is central to shaping how users experience AI ...

Steampunk

Prompt Engineer

Mclean, VA · On-site

$115K - $140K/yr

Overview We are seeking a Prompt Engineer design, test, and refine interaction patterns for generative AI systems used across our client engagements. This role is central to shaping how users ...

Steampunk

Prompt Engineer

Mclean, VA · On-site

$115K - $140K/yr

Overview We are seeking a Prompt Engineer design, test, and refine interaction patterns for generative AI systems used across our client engagements. This role is central to shaping how users ...

SS&C Technologies

Key Responsibilities Generative AI & Prompt Engineering * Design, develop, and optimize applications leveraging internal LLM platforms * Create, test, and maintain high-quality prompts to drive ...

HTC Global Services

AI Engineer

Iselin, NJ · On-site

This role focuses on Generative AI, Large Language Models (LLMs), Prompt Engineering, Agentic AI systems, Machine Learning, Data Science, and AWS-based cloud engineering. The ideal candidate will ...

Saransh Inc

Generative AI Architect

Charlotte, NC · On-site

$61.50 - $81/hr

Generative AI Architect Location: Charlotte, NC (Onsite from Day 1) Job Type: Contract Skill ... and prompt engineering frameworks 3. Participate in cross-functional GenAI initiatives and PoC ...

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How much do weekend generative ai prompt engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for weekend generative ai prompt engineer in the United States is $101,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $117,500.00 per year, depending on experience, location, and employer.
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Weekend Generative Ai Prompt Engineer jobs near you

Generative AI Engineer - McLean, Virginia - Onsite( Local only ) - Inperson interview

Nexylum Global LLC

Mclean, VA • On-site

$100K - $137K/yr

Other

Posted 9 days ago

Job description

Hello
This is Adnan from Nexylum Global Technologies. We are seeking an onsite Senior Generative AI Engineer with over 10 years of experience for a contract opportunity.

We are seeking a highly skilled Generative AI Engineer to design, develop, and deploy cutting-edge AI-powered applications using Large Language Models (LLMs) and modern AI frameworks. The ideal candidate should have hands-on experience building GenAI solutions, integrating AI models with enterprise applications, and developing scalable AI services using cloud platforms.

The candidate will work closely with data scientists, software engineers, and business stakeholders to create intelligent applications such as AI assistants, chatbots, document processing systems, recommendation engines, and workflow automation solutions.

Location: McLean, Virginia - Onsite( Local only ) - In-person interview
Minimum experience required: 10 years

<>Key Responsibilities
  • Design, develop, and deploy Generative AI applications using Large Language Models (LLMs).
  • Build AI-powered chatbots, virtual assistants, document Q&A, summarization, and content generation solutions.
  • Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases.
  • Integrate OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, or open-source LLMs into enterprise applications.
  • Create AI agents using frameworks such as LangChain, LlamaIndex, CrewAI, or AutoGen.
  • Fine-tune and optimize LLMs for enterprise-specific use cases.
  • Develop REST APIs and microservices for AI applications.
  • Implement prompt engineering techniques to improve AI model performance.
  • Work with structured and unstructured data for knowledge retrieval and semantic search.
  • Deploy AI applications on cloud platforms such as Azure, AWS, or Google Cloud.
  • Optimize model latency, scalability, and cost efficiency.
  • Ensure responsible AI practices, including security, governance, and compliance.
  • Collaborate with cross-functional teams in Agile/Scrum environments.
  • Stay updated with the latest advancements in Generative AI technologies.
Mandatory Skills<>Generative AI
  • Strong experience with Large Language Models (LLMs)
  • OpenAI GPT Models
  • Azure OpenAI
  • Anthropic Claude
  • Google Gemini
  • Llama, Mistral, or other open-source LLMs
Frameworks
  • LangChain
  • LlamaIndex
  • Semantic Kernel
  • CrewAI
  • AutoGen
  • Hugging Face Transformers
Retrieval-Augmented Generation (RAG)
  • RAG architecture
  • Embedding models
  • Semantic Search
  • Hybrid Search
  • Context Management
Vector Databases
  • Pinecone
  • FAISS
  • ChromaDB
  • Weaviate
  • Milvus
  • Azure AI Search
Programming Languages
  • Python (Mandatory)
  • SQL
  • JavaScript (Preferred)
Machine Learning & AI
  • Prompt Engineering
  • Fine-tuning LLMs
  • NLP
  • Transformers
  • Embedding Models
  • Tokenization
  • Model Evaluation
Cloud Platforms
  • Microsoft Azure
  • Azure OpenAI
  • AWS Bedrock
  • Google Vertex AI
API Development
  • FastAPI
  • Flask
  • REST APIs
  • GraphQL (Preferred)
Databases
  • PostgreSQL
  • MongoDB
  • SQL Server
  • Redis
DevOps & MLOps
  • Docker
  • Kubernetes
  • Git
  • CI/CD
  • MLflow
  • Azure DevOps
  • Jenkins
AI Tools
  • Prompt Engineering
  • AI Agents
  • Function Calling
  • Tool Calling
  • Model Monitoring
  • AI Evaluation Frameworks
  • Guardrails
  • Responsible AI
Version Control
  • Git
  • GitHub
  • Azure DevOps
Methodologies
  • Agile
  • Scrum

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