AI/ML Solutions Architect â LLM, GenAI & Agents Frameworks
AI/ML Solutions Architect â LLM, GenAI & Agents Frameworks
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1 Vacancy
Job Description
Who we are:
Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers.
Job Description:
Job Title : AI/ML Solutions Architect LLM GenAI & Agents Frameworks
Job Type : C2C
Experience : 10-15 Years
Location : San Jose California (On-Site)
- Hands-on experience in AI/ML with both traditional machine learning and deep learning.
- Proven experience developing complex GenAI applications (beyond simple chatbots or basic RAG).
- Expertise in agent frameworks such as LangGraph Autogen LlamaIndex Crew AG2.
- Proficiency in Python and experience with AI orchestration and automation libraries.
- Strong background in deploying solutions on AWS Azure or GCP.
- Knowledge of containerization (Docker/Kubernetes) CI/CD infrastructure as code and system security best practices.
- Experience building model pipelines versioning and maintaining ML services in production.
- Experience with LangChain OpenAI and Vector DBs (e.g. FAISS Pinecone Weaviate).
- Prior experience integrating GenAI with enterprise applications or APIs.
- Familiarity with MLOps monitoring tools and cost/performance optimization in GenAI applications.
- Architect and implement agent-based systems using leading GenAI frameworks: LangGraph Autogen LlamaIndex Crew AG2 etc.
- Build and orchestrate collaborative multi-agent workflows aligned with specific business goals and domain needs.
- Develop fine-tune and deploy advanced LLM and GenAI models including RAG fine-tuning and custom prompt engineering.
- Collaborate with AI/ML engineers DevOps and product stakeholders to deliver end-to-end intelligent systems.
- Deploy and scale solutions using cloud-native services (AWS Bedrock Google Vertex AI Azure OpenAI etc.).
- Implement secure maintainable and scalable pipelines using DevOps practices and CI/CD automation.
- Contribute to reusable libraries and components for agent orchestration and intelligent decision-making.
- Bachelors degree or equivalent combination of education and experience.
Employment Type
Full Time
