Role: Junior Gen AI Developer
Location: Santa Clara CA (Onsite)
Job Type: Contract
Experience Level: 3 5 Years (Software Development)
Role Overview:
We are looking for a Gen AI Developer to help us bridge the gap between cutting-edge AI research and production-ready applications.
You will be responsible for building fine-tuning and deploying AI-driven features using Large Language Models (LLMs).
Key Responsibilities:
-
LLM Implementation: Design and maintain applications powered by models like GPT-4 Claude or Llama 3.
-
RAG Architecture: Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to ensure AI responses are grounded in private data.
-
Prompt Engineering: Iterate on complex prompt templates and chains to improve accuracy safety and performance.
-
API Integration: Build robust APIs and microservices to connect AI capabilities with our core product.
-
Evaluation & Testing: Implement frameworks to evaluate LLM outputs (e.g. Ragas TruLens) to mitigate hallucinations and ensure quality.
-
Vector Databases: Manage and query vector stores (e.g. Pinecone Weaviate or Milvus) for efficient document retrieval.
Required Technical Skills:
-
Languages: Expert proficiency in Python (most common) or TypeScript.
-
AI Frameworks: Deep experience with orchestration tools like LangChain LlamaIndex or Haystack.
-
Backend: Proficiency in web frameworks like FastAPI Flask or Django.
-
Data Science Basics: Understanding of embeddings tokenization and vector similarity search.
-
DevOps/Cloud: Experience deploying apps on AWS Azure or GCP and familiarity with Docker.
Role: Junior Gen AI Developer Location: Santa Clara CA (Onsite) Job Type: Contract Experience Level: 3 5 Years (Software Development) Role Overview: We are looking for a Gen AI Developer to help us bridge the gap between cutting-edge AI research and production-ready applications. You will ...
Role: Junior Gen AI Developer
Location: Santa Clara CA (Onsite)
Job Type: Contract
Experience Level: 3 5 Years (Software Development)
Role Overview:
We are looking for a Gen AI Developer to help us bridge the gap between cutting-edge AI research and production-ready applications.
You will be responsible for building fine-tuning and deploying AI-driven features using Large Language Models (LLMs).
Key Responsibilities:
-
LLM Implementation: Design and maintain applications powered by models like GPT-4 Claude or Llama 3.
-
RAG Architecture: Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to ensure AI responses are grounded in private data.
-
Prompt Engineering: Iterate on complex prompt templates and chains to improve accuracy safety and performance.
-
API Integration: Build robust APIs and microservices to connect AI capabilities with our core product.
-
Evaluation & Testing: Implement frameworks to evaluate LLM outputs (e.g. Ragas TruLens) to mitigate hallucinations and ensure quality.
-
Vector Databases: Manage and query vector stores (e.g. Pinecone Weaviate or Milvus) for efficient document retrieval.
Required Technical Skills:
-
Languages: Expert proficiency in Python (most common) or TypeScript.
-
AI Frameworks: Deep experience with orchestration tools like LangChain LlamaIndex or Haystack.
-
Backend: Proficiency in web frameworks like FastAPI Flask or Django.
-
Data Science Basics: Understanding of embeddings tokenization and vector similarity search.
-
DevOps/Cloud: Experience deploying apps on AWS Azure or GCP and familiarity with Docker.
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