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Senior AI Engineer
Location: Remote
Country: United States
Salary: $60-$65
Start Date:
Description:
Job Summary
We are seeking a highly skilled Senior AI Engineer with strong expertise in TypeScript, Node.js, and Python to design, develop, and deploy advanced AI-powered applications. The ideal candidate will have deep experience in building scalable AI systems, integrating LLMs, and developing intelligent automation solutions in production environments.
You will work closely with product, engineering, and data teams to build cutting-edge AI solutions that power next-generation applications.
Key Responsibilities
Design, develop, and deploy AI-powered applications and services using Node.js, TypeScript, and Python.
Build and integrate LLM-based solutions (OpenAI, Anthropic, open-source models, etc.) into scalable backend systems.
Develop AI agents, RAG pipelines, and intelligent automation workflows.
Architect scalable APIs and microservices to support AI-driven products.
Work with vector databases, embeddings, and knowledge retrieval systems.
Optimize AI systems for performance, latency, and cost efficiency.
Collaborate with cross-functional teams to translate business problems into AI-driven solutions.
Ensure code quality, scalability, and maintainability using best engineering practices.
Stay updated with the latest advancements in AI, LLMs, and AI frameworks.
Required Skills
8–11 years of software engineering experience
Strong expertise in TypeScript and Node.js
Strong programming experience in Python
Hands-on experience with LLMs and Generative AI
Experience with AI frameworks such as:
LangChain
LlamaIndex
Semantic Kernel
Experience working with vector databases
Pinecone
Weaviate
Chroma
FAISS
Experience building REST APIs / GraphQL APIs
Experience with cloud platforms
Amazon Web Services
Google Cloud
Microsoft Azure
Experience with Docker and containerized deployments
Strong understanding of distributed systems and scalable architecture
Good to Have
Experience building AI agents and autonomous workflows
Experience with model fine-tuning or training
Experience with vector search and knowledge graph systems
Experience working with streaming pipelines and real-time data systems
Exposure to MLOps practices
Healthcare Domain experience is preferred
Soft Skills
Strong problem-solving and system design skills
Ability to work in fast-paced startup or product environments
Strong communication and collaboration skills
Ability to mentor junior engineers
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