Multi-Agent Generative AI Build
Summary
Freelancer Client is hiring: Multi-Agent Generative AI Build.
Location: Remote
AI / ML Leadership: 8-12+ years of software engineering experience with senior-level ownership in Generative AI systems, particularly NLP and LLM-based solutions.
Nice to have:
• Experience building scalable cloud-native systems using Docker, serverless architectures, and managed cloud services.
• Strong API and backend engineering experience.
• Working knowledge of SQL (e.g., PostgreSQL) and NoSQL (e.g., DynamoDB) databases.
• Experience mentoring engineers and operating in agile, fast-changing environments
Generative AI: Hands-on experience building GenAI solutions, including prompt engineering, RAG architectures, and model adaptation/fine-tuning.
Agentic AI: Proven experience designing and building multi-agent systems capable of reasoning and planning using frameworks such as Lang Chain, Lang Graph, Crew AI, or similar.
Programming & ML Foundations: Strong Python expertise with hands-on experience in AI/ML libraries such as Py Torch, TensorFlow, and Scikit-learn.
Model & Platform Versatility: Experience working with open-source LLMs (e.g., LLaMA, Mistral) and proprietary platforms/APIs (e.g., OpenAI GPT, Google Gemini, Azure OpenAI).
Skills: Python, Machine Learning (ML), MySQL, Prompt Engineering, Generative AI, Large Language Model, Azure OpenAI, MLOps, Large Language Models (LLMs), Agentic AI
Budget: $400–$750 USD
Source: Freelancer Client via Remote / Online. Apply on the source website.
Original
Primary (Required) Skills
AI / ML Leadership: 8-12+ years of software engineering experience with senior-level ownership in Generative AI systems, particularly NLP and LLM-based solutions.
Generative AI: Hands-on experience building GenAI solutions, including prompt engineering, RAG architectures, and model adaptation/fine-tuning.
Agentic AI: Proven experience designing and building multi-agent systems capable of reasoning and planning using frameworks such as Lang Chain, Lang Graph, Crew AI, or similar.
Programming & ML Foundations: Strong Python expertise with hands-on experience in AI/ML libraries such as Py Torch, TensorFlow, and Scikit-learn.
Model & Platform Versatility: Experience working with open-source LLMs (e.g., LLaMA, Mistral) and proprietary platforms/APIs (e.g., OpenAI GPT, Google Gemini, Azure OpenAI).
Cloud AI Platforms: Experience with AI/ML services on major cloud platforms such as Vertex AI, SageMaker, or Azure ML.
Preferred Skills
Experience building scalable cloud-native systems using Docker, serverless architectures, and managed cloud services.
Strong API and backend engineering experience.
Working knowledge of SQL (e.g., PostgreSQL) and NoSQL (e.g., DynamoDB) databases.
Experience mentoring engineers and operating in agile, fast-changing environments
Location & Details
Apply on source →About this listing
This remote opportunity was imported from Freelancer and is shown here for discovery. To apply, follow the link to the original posting.