Negotiable
Outside
Remote
USA
Summary: We are seeking an experienced AI/ML Engineer to design, build, and optimize machine learning models and frameworks, with a focus on Generative AI and Agentic AI. The ideal candidate will possess hands-on experience in developing algorithms for real-world applications and utilizing modern AI/ML tools. This role involves collaboration with cross-functional teams to integrate AI solutions into production environments. The position is remote and spans a duration of 12 months.
Key Responsibilities:
- Design, build, and train machine learning models for various AI/ML use cases.
- Develop and fine-tune algorithms and frameworks, including Generative AI and Neural Networks.
- Work with advanced AI technologies such as Agentic AI and MCP servers.
- Implement and optimize AI workflows using frameworks like LangChain, LangGraph, and A2A on Google Cloud.
- Collaborate with cross-functional teams to integrate AI solutions into production environments.
- Ensure scalability, performance, and security of AI/ML systems.
Key Skills:
- Strong experience in AI/ML model design, development, and training.
- Hands-on expertise in Generative AI, Agentic AI, and MCP server environments.
- Proficiency in frameworks such as LangChain, LangGraph, and A2A.
- Solid understanding of algorithm development and tuning for AI/ML applications.
- Experience with cloud platforms, preferably Google Cloud.
- Strong programming skills in Python and familiarity with ML libraries (TensorFlow, PyTorch).
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Job Title : AI/ML Engineer
Location : Bay Area, CA (Remote)
Duration : 12 Months
Job Summary:
We are looking for an experienced AI/ML Engineer to design, build, and optimize machine learning models and frameworks. The ideal candidate will have strong expertise in Generative AI, Agentic AI, and modern AI/ML tools, with hands-on experience in developing and tuning algorithms for real-world applications.
Key Responsibilities:
- Design, build, and train machine learning models for various AI/ML use cases.
- Develop and fine-tune algorithms and frameworks, including Generative AI and Neural Networks.
- Work with advanced AI technologies such as Agentic AI and MCP servers.
- Implement and optimize AI workflows using frameworks like LangChain, LangGraph, and A2A on Google Cloud.
- Collaborate with cross-functional teams to integrate AI solutions into production environments.
- Ensure scalability, performance, and security of AI/ML systems.
Required Skills & Experience:
- Strong experience in AI/ML model design, development, and training.
- Hands-on expertise in Generative AI, Agentic AI, and MCP server environments.
- Proficiency in frameworks such as LangChain, LangGraph, and A2A.
- Solid understanding of algorithm development and tuning for AI/ML applications.
- Experience with cloud platforms, preferably Google Cloud.
- Strong programming skills in Python and familiarity with ML libraries (TensorFlow, PyTorch).
Preferred Qualifications:
- Experience with large-scale AI deployments and MLOps practices.
- Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines.
- Familiarity with AI security and compliance best practices.