

Senior LLM Developer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a remote Senior LLM Developer with a contract length of unspecified duration and a pay rate based on experience. Key skills include Python, LangChain, GCP, BigQuery, scalable API development, and ML Ops experience.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
400
-
ποΈ - Date discovered
September 18, 2025
π - Project duration
Unknown
-
ποΈ - Location type
Remote
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
Atlanta, GA
-
π§ - Skills detailed
#FastAPI #NoSQL #AI (Artificial Intelligence) #Langchain #Scala #GCP (Google Cloud Platform) #Spark (Apache Spark) #Deployment #Batch #ML Ops (Machine Learning Operations) #Python #BigQuery #Big Data #ML (Machine Learning) #HBase #Apache Airflow #Apache Beam #Cloud #API (Application Programming Interface) #Apache Spark #Airflow
Role description
Responsibilities
Kforce has a client that is seeking a remote Senior LLM Developer to join their team. Summary: The client is seeking a developer to assist with the LLM team for development of a program. The developer will be building scalable API's in python and langchain that process over 600 transactions per second that directly tie into the LLM's they are building. The individual will need to be strong in python, langchain, GCP, BigQuery and LLM's. They will also be working heavily with vector stores as well as building pipelines. These LLM's are still in beta phase but are expected to augment and enhance. A lot of the work will also be considered -prompt engineering- which is designing the AI tool to have the most desired outputs.
Requirements
β’ LLM-Focused Backend Developer
β’ Extensive experience with Python, and Scalable API development using FastAPI, Tornado
β’ Experience with LangChain, LlamaIndex, RAG Architecture, and Prompt Engineering
β’ Familiarity with LangSmith, LangGraph, or other agentic framework technologies
β’ Experience with technologies like Pinecone, Google Vector Store, Vespa, or AstraDB
β’ NoSQL: Proficiency with BigTable, Cassandra, or HBase
β’ Big Data Platforms: Experience with BigQuery, Apache Spark, and Apache Beam
β’ Orchestration Tools: Familiarity with Google Cloud Composer or Apache Airflow
β’ Relevancy experience: Search retrieval and ranking experience
β’ ML Ops experience: ML for retrieval and ranking like model training and deployment pipeline experience using Python and GCP tools
β’ Feature engineering for batch and runtime model inferences
β’ General understanding of retrieval systems, concepts, challenges
β’ Strong communication, innovation, passionate, want to learn and reach new horizons
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking βApply Todayβ you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Responsibilities
Kforce has a client that is seeking a remote Senior LLM Developer to join their team. Summary: The client is seeking a developer to assist with the LLM team for development of a program. The developer will be building scalable API's in python and langchain that process over 600 transactions per second that directly tie into the LLM's they are building. The individual will need to be strong in python, langchain, GCP, BigQuery and LLM's. They will also be working heavily with vector stores as well as building pipelines. These LLM's are still in beta phase but are expected to augment and enhance. A lot of the work will also be considered -prompt engineering- which is designing the AI tool to have the most desired outputs.
Requirements
β’ LLM-Focused Backend Developer
β’ Extensive experience with Python, and Scalable API development using FastAPI, Tornado
β’ Experience with LangChain, LlamaIndex, RAG Architecture, and Prompt Engineering
β’ Familiarity with LangSmith, LangGraph, or other agentic framework technologies
β’ Experience with technologies like Pinecone, Google Vector Store, Vespa, or AstraDB
β’ NoSQL: Proficiency with BigTable, Cassandra, or HBase
β’ Big Data Platforms: Experience with BigQuery, Apache Spark, and Apache Beam
β’ Orchestration Tools: Familiarity with Google Cloud Composer or Apache Airflow
β’ Relevancy experience: Search retrieval and ranking experience
β’ ML Ops experience: ML for retrieval and ranking like model training and deployment pipeline experience using Python and GCP tools
β’ Feature engineering for batch and runtime model inferences
β’ General understanding of retrieval systems, concepts, challenges
β’ Strong communication, innovation, passionate, want to learn and reach new horizons
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking βApply Todayβ you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.