KPG99 INC10.04.26
AI SCORE 8.5

Senior LLM Engineer - Remote AI Solutions

$120K–$150K/year

About the Role

We are seeking a talented Senior LLM Engineer to join our team remotely. As a Senior LLM Engineer remote, you will be responsible for developing, deploying, and optimizing large language models (LLMs) using Python and various frameworks. This role offers the opportunity to work with cutting-edge AI technologies and make a significant impact on our projects.

What You'll Do

  • Design, develop, and maintain scalable web services using FastAPI or Flask frameworks.
  • Implement Lang Chain to build custom pipelines for document indexing, retrieval, and summarization.
  • Architect and deploy Retrieval-Augmented Generation (RAG) systems for various applications.
  • Optimize RAG systems for speed, accuracy, and scalability across multiple use cases.
  • Work with vector databases like Pinecone, Chroma, FAISS, or Milvus to manage embeddings.
  • Deploy and manage LLM-based applications on AWS, ensuring scalability and reliability.
  • Create monitoring dashboards using tools like Grafana or Tableau for real-time insights.
  • Research and integrate the latest advancements in generative AI technologies.

Requirements

  • Proficiency in Python, especially with web frameworks like FastAPI or Flask.
  • Strong experience with Lang Chain and associated libraries.
  • Proven expertise in building and optimizing RAG pipelines.
  • Experience with vector databases (e.g., Pinecone, FAISS).
  • Solid understanding of AWS services (Lambda, EC2, RDS, etc.).
  • Knowledge of SQL and NoSQL databases.
  • Familiarity with dashboarding tools such as Grafana and Tableau.

Nice to Have

  • Experience with machine learning frameworks.
  • Familiarity with containerization technologies like Docker.
  • Knowledge of DevOps practices.

What We Offer

  • Competitive salary and flexible working hours.
  • Opportunity to work on innovative AI projects.
  • Remote work environment with a collaborative team.
  • Access to continuous learning and development resources.
  • Supportive company culture that values creativity and innovation.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior LLM Engineer role offers a unique opportunity to work remotely on innovative AI projects with a competitive salary and flexible hours.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

About KPG99 INC

Explore KPG99 INC careers in 2026 and discover exciting job opportunities across remote, hybrid, and office roles. Utilize our platform's advanced filters to find the perfect fit, track your applications effortlessly, and gain valuable insights about the company. Start your journey toward a fulfilling career at KPG99 INC today and unlock your potential with our comprehensive job search tools, tailored just for you.

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficient in Python and experienced with frameworks like FastAPI and Flask, enabling the development of robust APIs for LLM applications.

Strong understanding of LLM deployment strategies, including experience with Lang Chain and Retrieval-Augmented Generation (RAG) techniques to enhance model performance.

Hands-on experience with cloud services (AWS) and data management tools (Pinecone, FAISS) to optimize the storage and retrieval of large datasets, ensuring efficient model training and inference.

Learning Resources

FastAPI Documentationguide

Career Path

Senior LLM Engineer(Now)Lead AI Engineer(1-2 years)AI Solutions Architect(3-5 years)

Market Overview

Python Market Size 2024
$40B
Annual Growth of Python Ecosystem
12.5%
AI Adoption in Enterprises
75%
Investment in AI Solutions
+150%
Labour Demand for AI Engineers
+30%
Avg Salary for LLM Engineers
$130K

Skills & Requirements

Required
PythonFastAPIFlask
Growing in Demand
TensorFlowPyTorchData Engineering
Declining
Pandas (for basic data manipulation)NumPy (for simple numerical tasks)

Domain Trends

Increased Use of LLMs
The adoption of large language models (LLMs) in business applications has surged, with a 200% increase in companies integrating LLMs into their workflows since 2022.
Rise of Serverless Architectures
Serverless computing is gaining traction, with a projected growth of 25% in 2024, as organizations seek to reduce infrastructure costs and increase scalability.
Data-Driven Decision Making
Organizations are increasingly relying on data visualization tools, with a 40% rise in the use of platforms like Grafana and Tableau for real-time analytics in 2024.

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