Identify and deliver reusable AI components for forward-deployed engineers.
Design agentic workflows for autonomous tasks.
Ship resilient REST APIs and microservices.
Build RAG and multimodal LLM features.
Mentor engineers and provide guidance to contractors and partners.
Requirements
llm orchestration
vector db
bachelor's
react
aws
python
Experience with multiple LLM providers and advanced AI-orchestration frameworks (e.g. LangChain, LlamaIndex).
Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and embedding model optimization.
Bachelor’s degree in computer science, Computer Engineering, or a related technical field.
Experience with modern front-end frameworks (React, Vue, or Angular) and advanced state management.
Experience with enterprise RAG architectures, semantic search optimization, and conversation memory management at scale.
Must be willing to work onsite at the Niskayuna, NY office.
13+ years of experience in AI/ML, including architectural design, technical leadership, and system optimization.
Experience building and scaling AI-powered features for 100k+ users.
Demonstrated experience leading technical teams and providing guidance to external contractors or vendors.
Experience with technical oversight, code review processes, and quality assurance methodologies.
Strong experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (Docker, Kubernetes).
Proven track record shipping production applications that incorporate LLMs or AI services at scale.
8+ years of experience with at least one general purpose programming language (Python [preferred], Java, or Go) and front-end experience with JavaScript/TypeScript.
Benefits
Information not given or found
Training + Development
Information not given or found
Interview process
Information not given or found
Visa Sponsorship
Information not given or found
Security clearance
employment offer contingent on successful completion of a drug screen (as applicable).