VMC Soft Technologies, Inc

Information Technology_USA - USA_Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Backend Engineer in Rosemead, CA, for 6 months at $70-$75/hr. Requires 10+ years of experience in Python full stack development, AI pipeline construction, and microservices implementation using FastAPI/Flask/Django.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
600
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🗓️ - Date
January 30, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Jacksonville, FL
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🧠 - Skills detailed
#GraphQL #Django #FastAPI #Azure #Kafka (Apache Kafka) #AI (Artificial Intelligence) #REST (Representational State Transfer) #Langchain #Python #Flask #Microservices #Model Optimization
Role description
• Please strictly adhere to the following resume naming convention: ALL CAPS, NO SPACES B/T UNDERSCORES PTN_US_GBAMSREQID\_CANDIDATEBEELINEID i.e. PTN_US_9999999\_SKIPJOHNSON0413 Bill Rate $70/hr -$75/hr MSP Owner: Felix Avalos Location: Rosemead, CA Duration: 6 months GBaMS ReqID: 10511658 Job Title AI Backend Engineer Relevant Experience (in Yrs) 10+ Must Have Technical/Functional Skills Python Full Stack Developer Versatile in constructing AI pipelines using LangChain, LlamaIndex, and AutoRAG, with model optimization through Optuna and GridSearchCV. Experience Required 10+ Roles & Responsibilities Implement Python microservices and APIs (FastAPI/Flask/Django) with clean contracts, versioning, pagination, and rate limiting. Build REST/GraphQL endpoints and internal SDKs to enable AI enhanced features (prompt routing, retrieval, redaction) while maintaining strict separation from model ownership. Implement asynchronous and event driven processing (e.g., Celery/Kafka/queues) for high throughput pipelines and background jobs. Integrate services with enterprise AI platforms / LLM APIs (e.g., Azure OpenAI via enterprise gateway), handling prompt orchestration, tool invocation, moderation hooks, and response validation. Enforce runtime guardrails: input sanitization, PII redaction, toxicity/NSFW filters, output signing, and fallbacks. Implement semantic retrieval and vector search via approved platforms; do not train or host custom models.