Remote LLM Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Remote LLM Engineer with expertise in Python and AI-driven systems. Key skills include FastAPI, LangChain, RAG architectures, and experience with vector stores. Contract length and pay rate vary based on education and experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
440
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🗓️ - Date discovered
September 11, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Big Data #ML (Machine Learning) #FastAPI #Batch #Python #Spark (Apache Spark) #AI (Artificial Intelligence) #Elasticsearch #Scala #ML Ops (Machine Learning Operations) #Langchain #Cloud #Deployment #BigQuery #Dataflow #HBase #NoSQL #Airflow
Role description
One of our Retail Clients is looking for a skilled Backend Developer with deep expertise in Python and a passion for building scalable AI-driven systems. This role is ideal for someone who thrives in fast-paced environments and has hands-on experience with LLMs, RAG architectures, and modern data platforms. You’ll be designing and deploying intelligent backend services that power next-gen AI applications.
• Backend Development: Python, FastAPI, Tornado
• AI & ML: LangChain, LlamaIndex, RAG, Prompt Engineering
• Agentic Frameworks: LangSmith, LangGraph
• Vector Stores: Pinecone, Google Vector Store, Vespa, AstraDB
• NoSQL & Big Data: BigTable, Cassandra, HBase, BigQuery, Spark, Beam
• Orchestration: Airflow, Cloud Composer
• Search & Ranking: Elasticsearch, Solr, Lucene
• ML Ops: Vertex AI, Dataflow, Dataproc; model training & deployment
• Feature Engineering: Batch & real-time inference pipelines
• Retrieval Systems: Strong grasp of architecture and challenges
•
• Pay may vary based on education and experience. Benefits are provided from Day 1.
One of our Retail Clients is looking for a skilled Backend Developer with deep expertise in Python and a passion for building scalable AI-driven systems. This role is ideal for someone who thrives in fast-paced environments and has hands-on experience with LLMs, RAG architectures, and modern data platforms. You’ll be designing and deploying intelligent backend services that power next-gen AI applications.
• Backend Development: Python, FastAPI, Tornado
• AI & ML: LangChain, LlamaIndex, RAG, Prompt Engineering
• Agentic Frameworks: LangSmith, LangGraph
• Vector Stores: Pinecone, Google Vector Store, Vespa, AstraDB
• NoSQL & Big Data: BigTable, Cassandra, HBase, BigQuery, Spark, Beam
• Orchestration: Airflow, Cloud Composer
• Search & Ranking: Elasticsearch, Solr, Lucene
• ML Ops: Vertex AI, Dataflow, Dataproc; model training & deployment
• Feature Engineering: Batch & real-time inference pipelines
• Retrieval Systems: Strong grasp of architecture and challenges
•
• Pay may vary based on education and experience. Benefits are provided from Day 1.
