AT
Artificial Intelligence Engineer
Anagh Technologies Inc
Sunnyvale · Hybrid Full-time 5d ago
About the role
Title
AI Engineer/AI Agent Engineer
Location
Sunnyvale, CA - Hybrid
About Us
Anagh Technologies is a technical consulting firm specializing in UI, Front-End, and Full-Stack web technologies. We currently have 30+ positions in Angular, React, Node, and Java.
If technically strong, we can 100% get you an offer within 2 weeks MAX, as we will consider you for multiple roles at once. If you are interested and are available, please email me your resume and contact information to rohit AT anaghtech.com. Thank you for your time
Key Responsibilities
- Design and build AI agents capable of multi-step reasoning, task execution, and tool usage using LLM frameworks (e.g., LangChain, LlamaIndex)
- Develop end-to-end AI/ML pipelines including data ingestion, model training, evaluation, deployment, and monitoring
- Build and optimize LLM-powered applications such as chatbots, recommendation systems, search, and personalization engines
- Implement RAG (Retrieval-Augmented Generation) systems integrating vector databases (e.g., Pinecone, Weaviate)
- Create autonomous workflows and agent orchestration for use cases like customer support automation, supply chain optimization, and internal tooling
- Fine-tune and evaluate models from providers such as OpenAI, Meta (LLaMA), and open-source ecosystems
- Ensure scalability, latency optimization, and cost efficiency of AI systems in production environments
- Collaborate with product managers, data scientists, and engineers to translate business problems into AI-driven solutions
- Apply Responsible AI practices including bias mitigation, explainability, and
Responsibilities
- Design and build AI agents capable of multi-step reasoning, task execution, and tool usage using LLM frameworks
- Develop end-to-end AI/ML pipelines including data ingestion, model training, evaluation, deployment, and monitoring
- Build and optimize LLM-powered applications such as chatbots, recommendation systems, search, and personalization engines
- Implement RAG (Retrieval-Augmented Generation) systems integrating vector databases
- Create autonomous workflows and agent orchestration for use cases like customer support automation, supply chain optimization, and internal tooling
- Fine-tune and evaluate models from providers such as OpenAI, Meta (LLaMA), and open-source ecosystems
- Ensure scalability, latency optimization, and cost efficiency of AI systems in production environments
- Collaborate with product managers, data scientists, and engineers to translate business problems into AI-driven solutions
- Apply Responsible AI practices including bias mitigation, explainability, and data privacy compliance
Skills
AWS LambdaDockerLangChainLLaMALLMNodeOpenAIPineconePostgreSQLReactRAGWeaviate
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