Artificial Intelligence Engineer
Artificial Intelligence Engineer
Indexnine TechnologiesEarly Applicant
- Posted 6 days ago
- Be among the first 30 applicants
Job Description
Key Responsibilities:
Agentic AI Development
● Design and implement AI agents for business workflows.
● Develop autonomous task execution capabilities.
MCP Server Integration
● Build and maintain Model Context Protocol integrations.
● Connect enterprise APIs and semantic services.
Semantic Search & AI
● Develop RAG and semantic retrieval solutions.
● Ground LLM responses using enterprise ontology.
Workflow Automation
● Enable AI-assisted operational workflows.
● Build actionable AI recommendations and insights.
Required Skills
● Python
● Generative AI
● LLM Integration
● MCP Protocol
● LangChain/LangGraph
● Vector Databases
● Prompt Engineering
Preferred Skills
● Knowledge Graph Integration
● AWS Bedrock
● Multi-Agent Systems
More Info
Key Skills
About Company
Skills:
RAG (Retrieval-Augmented Generation), Large Language Models (LLMs), Typescript, Javascript, Rest Apis, Python, LangChain, CrewAI, embeddings, automation pipelines, AI-driven coding workflows, Codex, AI coding agents, vector databases, Claude, LangGraph, ChatGPT, Data Handling, Prompt Engineering, AI model optimization
Skills:
Git, Docker, Python, Kubernetes, LangChain, embedding pipelines, Hugging Face, Anthropic, Vector DBs, LangGraph, Llama, OpenAI
Skills:
Java, Apis, embeddings, Generative AI, Agentic AI, LLMs, AI agent development, RAG pipelines, semantic search, prompt engineering
Skills:
Nosql, Git, Typescript, Javascript, Rest Apis, Python, Sql, LangChain, CrewAI, LLMs, prompt engineering
Skills:
Nodejs, Rest Apis, Python, embeddings, Qdrant, Claude, Pinecone, DeepSeek, OpenAI, Gemini, Weaviate, semantic search