AI Engineer
Plano, TX · On-site
Technical Experimentation & Evaluation · Conduct benchmarking, model evaluation, prompt engineering, and fine-tuning experiments to assess performance. · Compare models, frameworks, and ...
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Plano, TX · On-site
Technical Experimentation & Evaluation · Conduct benchmarking, model evaluation, prompt engineering, and fine-tuning experiments to assess performance. · Compare models, frameworks, and ...
Quick apply
Plano, TX · On-site
Technical Experimentation & Evaluation · Conduct benchmarking, model evaluation, prompt engineering, and fine-tuning experiments to assess performance. · Compare models, frameworks, and ...
LLMs, RAG, Prompt Engineering, AI Agents, LangChain, LangGraph, Semantic Kernel * Vector Databases: Pinecone, Azure AI Search, Weaviate, Milvus, Qdrant, Chroma, FAISS * Frontend: React, Angular ...
LLMs, RAG, Prompt Engineering, AI Agents, LangChain, LangGraph, Semantic Kernel * Vector Databases: Pinecone, Azure AI Search, Weaviate, Milvus, Qdrant, Chroma, FAISS * Frontend: React, Angular ...
Plano, TX · On-site
$109K - $131K/yr
Hands-on experience with Large Language Models (LLMs), Prompt Engineering, and Generative AI. * Experience implementing Retrieval-Augmented Generation (RAG) solutions. * Knowledge of vector databases ...
Plano, TX · On-site
$109K - $131K/yr
Hands-on experience with Large Language Models (LLMs), Prompt Engineering, and Generative AI. * Experience implementing Retrieval-Augmented Generation (RAG) solutions. * Knowledge of vector databases ...
Plano, TX · On-site
Technical Experimentation & Evaluation Conduct benchmarking, model evaluation, prompt engineering, and fine-tuning experiments to assess performance. Compare models, frameworks, and architectures to ...
New
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Plano, TX · On-site
Technical Experimentation & Evaluation Conduct benchmarking, model evaluation, prompt engineering, and fine-tuning experiments to assess performance. Compare models, frameworks, and architectures to ...
New
Implement prompt engineering and source-grounding strategies to improve AI accuracy, consistency, traceability, and clinical relevance, including source links that support human verification.
Implement prompt engineering and source-grounding strategies to improve AI accuracy, consistency, traceability, and clinical relevance, including source links that support human verification.
Implement prompt engineering and source-grounding strategies to improve AI accuracy, consistency, traceability, and clinical relevance, including source links that support human verification.
Implement prompt engineering and source-grounding strategies to improve AI accuracy, consistency, traceability, and clinical relevance, including source links that support human verification.
Dallas, TX · On-site
... AI -- LLMs, prompt engineering, fine-tuning, and deploying AI models in production Hands-on experience with Context Engineering -- designing context windows, retrieval pipelines, and memory ...
Dallas, TX · On-site
... AI -- LLMs, prompt engineering, fine-tuning, and deploying AI models in production Hands-on experience with Context Engineering -- designing context windows, retrieval pipelines, and memory ...
Dallas, TX · On-site
$105K - $150K/yr
Optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation; leverage batching, streaming, and parallel tool-calls to meet stringent SLOs under real ...
Dallas, TX · On-site
$105K - $150K/yr
Optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation; leverage batching, streaming, and parallel tool-calls to meet stringent SLOs under real ...
Plano, TX · On-site
Technical Experimentation & Evaluation * benchmarking, model evaluation, prompt engineering, and fine-tuning experiments to assess performance. * models, frameworks, and architectures to recommend ...
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Plano, TX · On-site
Technical Experimentation & Evaluation * benchmarking, model evaluation, prompt engineering, and fine-tuning experiments to assess performance. * models, frameworks, and architectures to recommend ...
Plano, TX · On-site
Technical Experimentation & Evaluation * benchmarking, model evaluation, prompt engineering, and fine-tuning experiments to assess performance. * models, frameworks, and architectures to recommend ...
Plano, TX · On-site
Technical Experimentation & Evaluation * benchmarking, model evaluation, prompt engineering, and fine-tuning experiments to assess performance. * models, frameworks, and architectures to recommend ...
Dallas, TX · On-site
$105K - $150K/yr
Optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation; leverage batching, streaming, and parallel tool-calls to meet stringent SLOs under real ...
Dallas, TX · On-site
$105K - $150K/yr
Optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation; leverage batching, streaming, and parallel tool-calls to meet stringent SLOs under real ...
Dallas, TX · On-site
$92K - $170K/yr
Prompt engineering strategies, Orchestration logic, API integrations and data pipelines, Testing, validation, and monitoring frameworks * Partner directly with stakeholders to refine outputs and ...
Dallas, TX · On-site
$92K - $170K/yr
Prompt engineering strategies, Orchestration logic, API integrations and data pipelines, Testing, validation, and monitoring frameworks * Partner directly with stakeholders to refine outputs and ...
Experienced in prompt engineering, LLM orchestration, and human-in-the-loop systems, with a strong focus on AI ethics, observability, and scalable deployment.
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Experienced in prompt engineering, LLM orchestration, and human-in-the-loop systems, with a strong focus on AI ethics, observability, and scalable deployment.
Develop reusable accelerators, code libraries, templates, prompt assets, deployment patterns, and ... Familiarity with software engineering practices such as Git, CI/CD, testing, code review ...
Develop reusable accelerators, code libraries, templates, prompt assets, deployment patterns, and ... Familiarity with software engineering practices such as Git, CI/CD, testing, code review ...
Develop reusable accelerators, code libraries, templates, prompt assets, deployment patterns, and ... Familiarity with software engineering practices such as Git, CI/CD, testing, code review ...
Develop reusable accelerators, code libraries, templates, prompt assets, deployment patterns, and ... Familiarity with software engineering practices such as Git, CI/CD, testing, code review ...
Develop reusable accelerators, code libraries, templates, prompt assets, deployment patterns, and ... Familiarity with software engineering practices such as Git, CI/CD, testing, code review ...
Develop reusable accelerators, code libraries, templates, prompt assets, deployment patterns, and ... Familiarity with software engineering practices such as Git, CI/CD, testing, code review ...
Design and implement AIforward capabilities, including Prompt Engineering, MCP, and RAGbased patterns, under established architectural guidance to improve automation, decisioning, and developer ...
Design and implement AIforward capabilities, including Prompt Engineering, MCP, and RAGbased patterns, under established architectural guidance to improve automation, decisioning, and developer ...
Hands-on experience with Devin, Claude (Anthropic), and developer AI tools like Cursor or Copilot Strong understanding of prompt engineering, RAG (Retrieval Augmented Generation), and agent-based ...
Hands-on experience with Devin, Claude (Anthropic), and developer AI tools like Cursor or Copilot Strong understanding of prompt engineering, RAG (Retrieval Augmented Generation), and agent-based ...
Richardson, TX · On-site
$88K - $121K/yr
Fine-tune prompt engineering strategies to improve response quality, reasoning, and accuracy. * Design agent memory, planning, orchestration, and tool-calling capabilities. * Deploy AI workloads on ...
Richardson, TX · On-site
$88K - $121K/yr
Fine-tune prompt engineering strategies to improve response quality, reasoning, and accuracy. * Design agent memory, planning, orchestration, and tool-calling capabilities. * Deploy AI workloads on ...
Irving, TX · On-site
$120K - $130K/yr
LLMs; prompt engineering; RAG; autonomous decision frameworks; Python/R/SQL/SAS; vector databases; semantic search; knowledge graphs; metadata management; production ML/AI deployment, monitoring ...
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Irving, TX · On-site
$120K - $130K/yr
LLMs; prompt engineering; RAG; autonomous decision frameworks; Python/R/SQL/SAS; vector databases; semantic search; knowledge graphs; metadata management; production ML/AI deployment, monitoring ...
$9.39 - $15.98
7% of jobs
$15.98 - $22.56
13% of jobs
$22.56 - $29.15
3% of jobs
$29.86 is the 25th percentile. Wages below this are outliers.
$29.15 - $35.74
15% of jobs
The median wage is $40.57 / hr.
$35.74 - $42.32
16% of jobs
$42.32 - $48.91
3% of jobs
$54.63 is the 75th percentile. Wages above this are outliers.
$48.91 - $55.49
20% of jobs
$55.49 - $62.08
9% of jobs
$62.08 - $68.67
7% of jobs
$68.67 - $75.25
3% of jobs
$75.25 - $81.84
3% of jobs
$9
$43
$81
To thrive as a Prompt Engineer, you need a strong grasp of natural language processing (NLP), machine learning concepts, and experience crafting effective prompts for large language models, usually supported by a technical degree or relevant experience. Familiarity with tools such as OpenAI's API, Hugging Face, or other AI platforms, as well as knowledge of programming languages like Python, is highly valuable. Creative thinking, analytical problem-solving, and cross-functional communication skills help differentiate top candidates in this field. These abilities are crucial for optimizing AI outcomes and ensuring collaboration with both technical and non-technical teams.
A typical day for a Prompt Engineer involves designing, testing, and refining prompts to enhance the performance of AI language models, often collaborating closely with data scientists, software engineers, and product managers. You might analyze the results of model outputs, integrate user or stakeholder feedback, and iterate on prompt strategies to solve diverse business challenges. Your role will usually include documentation, troubleshooting, and keeping up with the latest advances in AI technologies. Expect a mix of independent work and regular team meetings in a dynamic, fast-evolving environment focused on innovation and improvement.
A Prompt Engineer is a professional who designs, refines, and optimizes prompts to improve interactions with AI models, such as ChatGPT. Their role involves understanding model behavior, crafting precise queries, and experimenting with phrasing to achieve desired outputs. They may work in AI research, software development, or content generation to maximize AI efficiency. Strong skills in language, logic, and sometimes coding are essential for success in this role.

Requirement - AI Engineer
Location- Plano, Texas(Onsite)
Contract W2
RequirementsEssential Functions:
Description / Essential Functions:
AI Research & Emerging-Tech Exploration
· Continuously research advancements in AI/ML, with a strong focus on Generative AI, LLM architectures, agent frameworks, and multimodal models.
· Evaluate emerging tools, frameworks, and APIs such as ChatGPT, GitHub Copilot, LangChain, LangSmith, CrewAI, vector DBs, RAG frameworks, orchestration tools, and model hosting platforms.
· Identify opportunities where new AI capabilities can solve business problems or streamline client’s operations.
Rapid Prototyping & Hands-On Development
· Build rapid, functional prototypes with a strong hands-on coding approach using Python, modern AI SDKs, and model APIs.
· Develop experimental features and concepts that validate feasibility before engineering teams take them to production.
· Design, test, and iterate on AI workflows, pipelines, agentic systems, and retrieval-augmented applications.
Technical Experimentation & Evaluation
· Conduct benchmarking, model evaluation, prompt engineering, and fine-tuning experiments to assess performance.
· Compare models, frameworks, and architectures to recommend best-fit technologies for production teams.
· Document findings with clarity, experiment logs, model performance summaries, reproducible code samples, and technical write-ups.
Collaboration With Engineering & Stakeholders
· Work hand-in-hand with engineering teams to transition prototypes into scalable production-ready systems.
· Translate experimental results into actionable recommendations for architecture, infrastructure, and model deployment.
· Engage with product managers, business partners, and data scientists to align prototypes with real-world needs.
Thought Leadership & Knowledge Sharing
· Track market activity, academic research, open-source contributions, and competitor innovation trends.
· Present insights, demos, and proposals to technical leadership and stakeholders.
· Foster a culture of AI innovation through workshops, documentation, and internal knowledge sharing.
Minimum qualification:
Required Education & Experience:
Technical & Research Expertise
· Bachelor’s degree (or equivalent experience) in Computer Science, AI, Data Science, or a related technical field.
· 5+ years of hands-on experience in AI engineering, research engineering, ML prototyping, or similar roles.
· Strong programming proficiency in Python and familiarity with major AI/ML frameworks (TensorFlow, PyTorch).
· Practical experience with LLMs, prompt engineering, RAG systems, LangChain, LangSmith, CrewAI, vector databases, and other modern GenAI tools.
· Experience building rapid prototypes, POCs, and experimental AI applications.
Applied AI & Tooling Knowledge
· Deep understanding of AI ecosystems such as OpenAI, Anthropic, Hugging Face, Azure AI, AWS Bedrock, etc.
· Familiarity with developer tools like GitHub Copilot, GPT-based coding assistants, and modern MLOps workflows.
· Comfort exploring model internals, parameter tuning, API integrations, and evaluation frameworks.
Soft Skills & Collaboration
· Strong ability to translate cutting-edge research concepts into practical technical solutions.
· Excellent communication and documentation skills for both technical and non-technical audiences.
· Curiosity-driven mindset and commitment to daily research, experimentation, and continuous learning.
· Ability to manage multiple research tracks, prototypes, and fast-moving developments.
Preferred qualification:
· Experience with fine-tuning, LoRA, or custo
· Background in agentic AI systems, automation frameworks, and workflow orchestration.
· Prior experience publishing research insights or contributing to open-source AI projects.
· Certifications in advanced AI/ML topics or cloud AI platforms.
Position Type/Expected Hours of Work:
· Onsite contract: Standard business hours
· Occasional after-hours or weekend work may be required based on business need
Thank You
Ranjeet Kumar | 1Point System LLC
Senior Technical RecruiterSourced by ZipRecruiter
51 - 200 Employees
Fort Mill, SC, US
2015