Veracity Software Inc
Overview
Job Title:
Gen AI Engineer Developer Job Location:
Remote (EST/CST time zones) # Positions:
1 Employment Type:
C2C - Contractors Only Duration:
Long Term Key Technology:
AI, Python Responsibilities Build and tune LLM based applications using platforms like Vertex, GPT, Hugging Face, and related tools. Integrate generative AI with enterprise applications using APIs, knowledge graphs, vector databases (e.g., PG Vector, Neo4j, Mongodb), and orchestration tools. Design robust prompt engineering strategies and reusable prompt templates. Apply retrieval-augmented generation pipelines and vector databases to solve real-world problems.
Qualifications
Strong programming skills in Python, and familiarity with libraries like Transformers, Pandas, scikit-learn, Seaborn, LangChain, LlamaIndex, PyTorch, or TensorFlow. Experience building applications with OpenAI, Anthropic Claude, Google Gemini, or opensource LLMs. Working knowledge of retrieval-augmented generation (RAG) pipelines and vector databases. Understanding of MLOps, model evaluation, prompt tuning, and deployment pipelines. Create and implement robust prompt engineering strategies and reusable templates. Collaborate with teams to integrate generative AI into enterprise software solutions.
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Job Title:
Gen AI Engineer Developer Job Location:
Remote (EST/CST time zones) # Positions:
1 Employment Type:
C2C - Contractors Only Duration:
Long Term Key Technology:
AI, Python Responsibilities Build and tune LLM based applications using platforms like Vertex, GPT, Hugging Face, and related tools. Integrate generative AI with enterprise applications using APIs, knowledge graphs, vector databases (e.g., PG Vector, Neo4j, Mongodb), and orchestration tools. Design robust prompt engineering strategies and reusable prompt templates. Apply retrieval-augmented generation pipelines and vector databases to solve real-world problems.
Qualifications
Strong programming skills in Python, and familiarity with libraries like Transformers, Pandas, scikit-learn, Seaborn, LangChain, LlamaIndex, PyTorch, or TensorFlow. Experience building applications with OpenAI, Anthropic Claude, Google Gemini, or opensource LLMs. Working knowledge of retrieval-augmented generation (RAG) pipelines and vector databases. Understanding of MLOps, model evaluation, prompt tuning, and deployment pipelines. Create and implement robust prompt engineering strategies and reusable templates. Collaborate with teams to integrate generative AI into enterprise software solutions.
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