llm engineer

MASTER-WORKS

<div><p>About the Role:</p><p>
Master works is looking for an experienced <b>LLM Engineer</b> to join our team working on next-generation AI-driven analytics solutions. The ideal candidate will design and implement natural language search, semantic search solutions, and generative AI features for our web applications. You will work hands-on with advanced language models, vector databases, RAG pipelines, and build intelligent workflows to enable actionable insights from both structured and unstructured data.</p><p><b>
Key Responsibilities:</b></p><ul><li>
Develop and maintain natural language search capabilities and semantic search solutions using vector databases.</li><li>
Implement NL-to-SQL pipelines and other intelligent query generation features for analytics platforms.</li><li>
Build and optimize Generative AI features (summarization, recommendations, insights) for analytics applications.</li><li>
Design and implement Agents and Workflows for complex tasks across datasets.</li><li>
Develop RAG (Retrieval-Augmented Generation) pipelines for knowledge retrieval and query resolution.</li><li>
Create embeddings for structured and unstructured data and leverage them for semantic understanding and search.</li><li>
Process and transform structured (tables, CSV, SQL) and unstructured data (text, documents, logs) as input/output for AI models.</li><li>
Collaborate with data engineers, analysts, and product teams to integrate AI features seamlessly into the platform.</li><li>
Evaluate, benchmark, and optimize LLM performance for real-world analytics use cases.
</li></ul><p><b>Required Qualifications &amp; Skills:</b></p><ul><li>
Bachelor's or master's degree in computer science, AI/ML, Data Science, or related field.</li><li>
Hands-on experience with LLMs (OpenAI, Anthropic, Cohere, or similar).</li><li>
Experience with vector databases such as Pinecone, Weaviate, Milvus, or FAISS.</li><li>
Strong understanding of embeddings, semantic search, and their practical applications.</li><li>
Expertise in RAG pipelines, Agents, and Workflow orchestration.</li><li>
Proficiency in Python and relevant AI/ML frameworks (LangChain, HuggingFace, PyTorch, TensorFlow).</li><li>
Familiarity with NL-to-SQL systems and natural language query processing.</li><li>
Experience working with structured and unstructured data sources.</li><li>
Knowledge of data pipelines, preprocessing, and storage formats for analytics.</li><li>
Ability to design scalable, production-ready AI solutions integrated with web applications.</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Experience working with AI based chatbots, Natural language search, NL to SQL.</li><li>
Knowledge of prompt engineering and fine-tuning LLMs.</li><li>
Familiarity with data privacy, security, and compliance considerations in AI pipelines.</li></ul><p><b>
Soft Skills:</b></p><ul><li>
Strong problem-solving and analytical skills.</li><li>
Excellent communication skills to work with cross-functional teams.</li><li>
Passion for AI and staying up to date with the latest developments in LLMs and generative AI.</li></ul></div>

LLM engineer

Master Works

<div>
 About the Role:
 <br/>
 <br/>
 Master works is looking for an experienced
 <strong>
  LLM Engineer
 </strong>
 to join our team working on next-generation AI-driven analytics solutions. The ideal candidate will design and implement natural language search, semantic search solutions, and generative AI features for our web applications. You will work hands-on with advanced language models, vector databases, RAG pipelines, and build intelligent workflows to enable actionable insights from both structured and unstructured data.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop and maintain natural language search capabilities and semantic search solutions using vector databases.
  </li>
  <li>
   Implement NL-to-SQL pipelines and other intelligent query generation features for analytics platforms.
  </li>
  <li>
   Build and optimize Generative AI features (summarization, recommendations, insights) for analytics applications.
  </li>
  <li>
   Design and implement Agents and Workflows for complex tasks across datasets.
  </li>
  <li>
   Develop RAG (Retrieval-Augmented Generation) pipelines for knowledge retrieval and query resolution.
  </li>
  <li>
   Create embeddings for structured and unstructured data and leverage them for semantic understanding and search.
  </li>
  <li>
   Process and transform structured (tables, CSV, SQL) and unstructured data (text, documents, logs) as input/output for AI models.
  </li>
  <li>
   Collaborate with data engineers, analysts, and product teams to integrate AI features seamlessly into the platform.
  </li>
  <li>
   Evaluate, benchmark, and optimize LLM performance for real-world analytics use cases.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications &amp; Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or master's degree in computer science, AI/ML, Data Science, or related field.
  </li>
  <li>
   Hands-on experience with LLMs (OpenAI, Anthropic, Cohere, or similar).
  </li>
  <li>
   Experience with vector databases such as Pinecone, Weaviate, Milvus, or FAISS.
  </li>
  <li>
   Strong understanding of embeddings, semantic search, and their practical applications.
  </li>
  <li>
   Expertise in RAG pipelines, Agents, and Workflow orchestration.
  </li>
  <li>
   Proficiency in Python and relevant AI/ML frameworks (LangChain, HuggingFace, PyTorch, TensorFlow).
  </li>
  <li>
   Familiarity with NL-to-SQL systems and natural language query processing.
  </li>
  <li>
   Experience working with structured and unstructured data sources.
  </li>
  <li>
   Knowledge of data pipelines, preprocessing, and storage formats for analytics.
  </li>
  <li>
   Ability to design scalable, production-ready AI solutions integrated with web applications.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience working with AI based chatbots, Natural language search, NL to SQL.
  </li>
  <li>
   Knowledge of prompt engineering and fine-tuning LLMs.
  </li>
  <li>
   Familiarity with data privacy, security, and compliance considerations in AI pipelines.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Soft Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong problem-solving and analytical skills.
  </li>
  <li>
   Excellent communication skills to work with cross-functional teams.
  </li>
  <li>
   Passion for AI and staying up to date with the latest developments in LLMs and generative AI.
  </li>
 </ul>
</div>


NVIDIA

<div><div>NVIDIA&rsquo;s Silicon Co-Design Group &ndash; Efficiency (SCGE) team is seeking a Senior AI/LLM Engineer to innovate, develop, and integrate advanced AI technologies into our design and automation infrastructure. In this role, you will architect and implement solutions that improve the efficiency, scalability, and intelligence of our workflows. The ideal candidate blends deep technical expertise with practical, hands-on experience, driving every stage of AI solution planning, design, and implementation. At NVIDIA, we strive for perfection, encourage innovation, and provide opportunities to explore new ways to succeed!</div><div></div><div>
What you'll be doing:</div><ul><li><div>
Designing and implementing AI/LLM-powered systems to improve automation, design verification, and workflow efficiency.</div></li><li><div>
Collaborating with multi-functional engineering teams to find opportunities for AI integration and performance optimization.</div></li><li><div>
Developing and fine-tuning large language models tailored to semiconductor design and productivity applications.</div></li><li><div>
Evaluating new frameworks, architectures, and tools to improve efficiencies powered by artificial intelligence across the organization.</div></li><li><div>
Tracking and measuring AI impact using data-driven metrics to continuously refine solutions.</div></li></ul><div></div><div>
What we need to see:</div><ul><li><div>
MS in Computer Science, Electrical Engineering, or related field (or equivalent experience) and 8+ years of development experience, with at least 4 years focused on AI/ML, LLMs, or generative AI.</div></li><li><div>
Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.</div></li><li><div>
Proven track record of deploying scalable AI/ML models in production.</div></li><li><div>
Ability to balance multiple simultaneous projects</div></li><li><div>
Excellent problem-solving, communication, and collaboration skills.</div></li></ul><div></div><div>
Ways to Standout from the crowd:</div><ul><li><div>
Experience with EDA, semiconductor workflows, or design automation systems.</div></li><li><div>
Publications or open-source contributions demonstrating deep expertise in LLMs or AI infrastructure.</div></li><li><div>
Familiarity with multimodal or reinforcement learning applications.</div></li><li><div>
Ability to translate innovative AI research into practical, high-impact production tools.</div></li></ul><div></div><div>
NVIDIA is widely considered to be one of the world's most desirable employers in the technology field. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!</div><div></div><div>
#LI-Hybrid</div><div></div>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.<div></div><div><div><div><div><div><div><div><div>
You will also be eligible for equity and <div>benefits</div>.</div></div></div></div></div></div></div></div><div></div>
Applications for this job will be accepted at least until March 7, 2026.<div></div><div>
This posting is for an existing vacancy.</div><div>
NVIDIA uses AI tools in its recruiting processes.</div><div></div>
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.</div><div></div>

Senior AI and LLM Engineer

BV Teck

<div>Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations.<br>
We leverage cutting-edge large language model (LLM) and AI platform technologies to build scalable, secure, and production-ready AI systems. As we continue to grow, we&rsquo;re looking for a skilled <b>LLM Platform Engineer</b> to join our dynamic team and contribute to our mission of transforming business processes through technology.<br>
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.<br>
<br>
We are looking for <b>OPT/CPT/H4 EAD/TN/E3 or any other Non-immigrant visa people</b> who are looking for an <b>H1B sponsorship for the year 2027 quota</b>.<br>
<br>
<b>Company:</b> Bright Vision Technologies ( www.bvteck.com )<br>
<b>Job Title:</b> LLM Platform Engineer<br>
<b>Onsite/Hybrid:</b> Remote<br>
<b>FULL-TIME ROLE WITH BRIGHT VISION</b><br>
<br>
<b>Job Description:</b><br>
<b>Environment:</b><br>
Large Language Models (LLMs), Python, Prompt Engineering, Model Fine-Tuning, Hugging Face, OpenAI / Azure OpenAI APIs, Vector Databases, Embeddings, RESTful APIs, Model Deployment &amp; Scaling, Docker, Kubernetes, Cloud Platforms (AWS / Azure / GCP), CI/CD pipelines, Linux, Git, Agile methodologies<br>
<br>
<b>BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.</b><br>
<br>
For every role, a <b>coding test is required</b>, so apply only if you are <b>confident and technically strong</b>.<br>
We prefer <b>at least 3 to 5 years real time experience</b>.<br>
<br>
If you are an <b>LLM Platform Engineer</b> with the above skills and are looking for an <b>H-1 B sponsorship</b> this year, please send your resume immediately to <b>harry@bvteck.com</b>.<br>
<br>
we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know.<br>
<b>Position offered by &ldquo;No Fee agency.&rdquo;</b><p><br>
Equal Employment Opportunity (EEO) Statement</p>
<p>Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.</p>
<p>BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.</p><p>
</p><p>Or3z6LPMr6</p></div>

LLM Platform Engineer

<div>Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations.<br>
We leverage cutting-edge large language model (LLM) and AI platform technologies to build scalable, secure, and production-ready AI systems. As we continue to grow, we&rsquo;re looking for a skilled <b>LLM Platform Engineer</b> to join our dynamic team and contribute to our mission of transforming business processes through technology.<br>
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.<br>
<br>
We are looking for <b>OPT/CPT/H4 EAD/TN/E3 or any other Non-immigrant visa people</b> who are looking for an <b>H1B sponsorship for the year 2027 quota</b>.<br>
<br>
<b>Company:</b> Bright Vision Technologies ( www.bvteck.com )<br>
<b>Job Title:</b> LLM Platform Engineer<br>
<b>Onsite/Hybrid:</b> Remote<br>
<b>FULL-TIME ROLE WITH BRIGHT VISION</b><br>
<br>
<b>Job Description:</b><br>
<b>Environment:</b><br>
Large Language Models (LLMs), Python, Prompt Engineering, Model Fine-Tuning, Hugging Face, OpenAI / Azure OpenAI APIs, Vector Databases, Embeddings, RESTful APIs, Model Deployment &amp; Scaling, Docker, Kubernetes, Cloud Platforms (AWS / Azure / GCP), CI/CD pipelines, Linux, Git, Agile methodologies<br>
<br>
<b>BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.</b><br>
<br>
For every role, a <b>coding test is required</b>, so apply only if you are <b>confident and technically strong</b>.<br>
We prefer <b>at least 3 to 5 years real time experience</b>.<br>
<br>
If you are an <b>LLM Platform Engineer</b> with the above skills and are looking for an <b>H-1 B sponsorship</b> this year, please send your resume immediately to <b>harry@bvteck.com</b>.<br>
<br>
we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know.<br>
<b>Position offered by &ldquo;No Fee agency.&rdquo;</b><p><br>
Equal Employment Opportunity (EEO) Statement</p>
<p>Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.</p>
<p>BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.</p><p>
</p><p>cKRpmRe3hi</p></div>

Genpact

<p></p><div><div><div>Genpact (NYSE G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose &ndash; the relentless pursuit of a world that works better for people &ndash; we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.<br>
Inviting applications for the role of Lead consultant - GenAI LLM Ops Engineer, we&rsquo;re looking for an LLM Ops Engineer to build, operate, and scale our Large Language Model platforms and applications. You&rsquo;ll own the end-to-end operational lifecycle&mdash;from model deployment and orchestration to reliability, observability, safety, cost optimization, and performance tuning. You&rsquo;ll partner closely with Data Science, MLOps, Security, and Product teams to deliver robust, compliant, and efficient LLM-powered experiences.<br>
Responsibilities<br>
<ul><li>Architect secure, reusable, and modular infrastructure-as-code (IaC) frameworks for GenAI and LLM operations</li><li>Design, deploy, and maintain LLM serving infrastructure (e.g., Azure OpenAI, self-hosted OSS models, vector databases).</li><li>Implement model orchestration (routing, ensemble strategies, fallbacks, retries, cache layers).</li><li>Build CI/CD pipelines for prompt catalogs, model configurations, guardrails, and evaluation suites.</li><li>Define and track LLM-specific SLOs (latency, response quality, safety violations, hallucination rate).</li><li>Implement telemetry (traces, logs, metrics, prompt/response analytics) and A/B experiments.</li><li>Establish alerting &amp; incident response playbooks.</li><li>Lead the development and standardization of CI/CD pipelines for AI/ML model deployment</li><li>Ensure security, privacy, and regulatory compliance (data residency, consent, auditability).</li><li>Manage prompt governance (versioning, approval workflow, change logs, rollback).</li><li>Define and enforce best practices for model versioning, governance and lifecycle management</li><li>Troubleshoot and resolve issues related to LLM deployment, scaling, and performance</li><li>Stay updated with advancements in MLOps, LLMs, and GenAI technologies</li></ul></div><div></div><div><br>
Qualifications we seek in you!<br>
Minimum Qualifications<br>
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field</li><li>Proven experience in MLOps, DevOps, or AI/ML infrastructure roles</li><li>Hands-on experience with CI/CD pipelines, containerization, and orchestration tools (e.g., Docker, Kubernetes)</li><li>Proficiency in scripting and programming languages such as Python, Bash, or similar</li><li>Experience with cloud platforms (AWS, Azure, GCP) and infrastructure-as-code tools (Terraform, CloudFormation)</li><li>Strong understanding of machine learning model lifecycle management and operationalization</li><li>Knowledge of data privacy, security, and compliance standards in AI/ML environments</li></ul></div><div>
Preferred Qualifications<br>
<ul><li>Master&rsquo;s degree in a relevant field</li><li>Experience with large language models (LLMs) and generative AI frameworks</li><li>Familiarity with monitoring, logging, and observability tools for AI/ML workloads</li><li>Experience collaborating with cross-functional teams in enterprise environments</li><li>Excellent problem-solving, communication, and documentation skills</li><li>Prior experience mentoring or leading technical teams</li></ul>
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.</div></div><p></p><p><br>
JobLead Consultant</p><p>
Primary LocationIndia-Hyderabad</p><p>
ScheduleFull-time</p><p>
Education LevelBachelor's / Graduation / Equivalent</p><p>
Job PostingFeb 23, 2026, 3:26:24 AM</p><p>
Unposting DateOngoing</p><p>
Master Skills ListDigital</p><p>
Job CategoryFull Time</p></div>

Lead consultant - GenAI LLM Ops Engineer

<p></p><div><div><div>Genpact (NYSE G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose &ndash; the relentless pursuit of a world that works better for people &ndash; we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.<br>
Inviting applications for the role of Principal Consultant - GenAI LLM Ops Engineer, we&rsquo;re looking for an LLM Ops Engineer to build, operate, and scale our Large Language Model platforms and applications. You&rsquo;ll own the end-to-end operational lifecycle&mdash;from model deployment and orchestration to reliability, observability, safety, cost optimization, and performance tuning. You&rsquo;ll partner closely with Data Science, MLOps, Security, and Product teams to deliver robust, compliant, and efficient LLM-powered experiences.<br>
Responsibilities<br>
<ul><li>Architect secure, reusable, and modular infrastructure-as-code (IaC) frameworks for GenAI and LLM operations</li><li>Design, deploy, and maintain LLM serving infrastructure (e.g., Azure OpenAI, self-hosted OSS models, vector databases).</li><li>Implement model orchestration (routing, ensemble strategies, fallbacks, retries, cache layers).</li><li>Build CI/CD pipelines for prompt catalogs, model configurations, guardrails, and evaluation suites.</li><li>Define and track LLM-specific SLOs (latency, response quality, safety violations, hallucination rate).</li><li>Implement telemetry (traces, logs, metrics, prompt/response analytics) and A/B experiments.</li><li>Establish alerting &amp; incident response playbooks.</li><li>Lead the development and standardization of CI/CD pipelines for AI/ML model deployment</li><li>Ensure security, privacy, and regulatory compliance (data residency, consent, auditability).</li><li>Manage prompt governance (versioning, approval workflow, change logs, rollback).</li><li>Define and enforce best practices for model versioning, governance and lifecycle management</li><li>Troubleshoot and resolve issues related to LLM deployment, scaling, and performance</li><li>Stay updated with advancements in MLOps, LLMs, and GenAI technologies</li></ul></div><div>
Qualifications we seek in you!<br>
Minimum Qualifications<br>
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field</li><li>Proven experience in MLOps, DevOps, or AI/ML infrastructure roles</li><li>Hands-on experience with CI/CD pipelines, containerization, and orchestration tools (e.g., Docker, Kubernetes)</li><li>Proficiency in scripting and programming languages such as Python, Bash, or similar</li><li>Experience with cloud platforms (AWS, Azure, GCP) and infrastructure-as-code tools (Terraform, CloudFormation)</li><li>Strong understanding of machine learning model lifecycle management and operationalization</li><li>Knowledge of data privacy, security, and compliance standards in AI/ML environments</li></ul>
Preferred Qualifications<br>
<ul><li>Master&rsquo;s degree in a relevant field</li><li>Experience with large language models (LLMs) and generative AI frameworks</li><li>Familiarity with monitoring, logging, and observability tools for AI/ML workloads</li><li>Experience collaborating with cross-functional teams in enterprise environments</li><li>Excellent problem-solving, communication, and documentation skills</li><li>Prior experience mentoring or leading technical teams</li></ul>
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.</div></div><p></p><p><br>
JobPrincipal Consultant</p><p>
Primary LocationIndia-Hyderabad</p><p>
ScheduleFull-time</p><p>
Education LevelBachelor's / Graduation / Equivalent</p><p>
Job PostingFeb 23, 2026, 3:12:18 AM</p><p>
Unposting DateOngoing</p><p>
Master Skills ListDigital</p><p>
Job CategoryFull Time</p></div>

Principal Consultant - GenAI LLM Ops Engineer

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