Sr. AI Engineers (RAG + Integrations) - remote

Talantir; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Talantir is seeking a Sr. AI Engineer to own the Network AI Platform's retrieval stack and APIs, including source connectors, chunking/embedding, hybrid search, and integrations.

You will maintain RAG pipelines, build Python REST services for query routing, and develop connectors to ServiceNow, Splunk, and SharePoint. You will also implement evaluation suites and guardrails and investigate incidents to ship fixes.

Qualifications

• 4–8 years total experience in AI, ML, or retrieval systems.
• 2+ years building LLM/RAG or search/retrieval systems.
• Hands-on with ServiceNow API, Splunk SDK, or SharePoint Graph API.

Responsibilities

• Maintain and tune RAG pipelines and retrieval stack.
• Own Python REST services powering query routing and alarm-correlation flows.
• Build and maintain connectors to ServiceNow, Splunk, and SharePoint.
• Implement evaluation suites and guardrails for AI systems.
• Investigate production incidents and ship fixes.

Skills

Python

FastAPI/Flask

SQL

Redis

Snowflake

Postgres

RAG

LLM Experience

Tools

ServiceNow API

Splunk SDK

SharePoint Graph API

Job description

3 - Sr. AI Engineers (RAG + Integrations)

Summary: Own the Network AI Platform s retrieval stack and APIs: source connectors, chunking/embedding, hybrid search, answer composition, and integrations.

Responsibilities:

• Maintain/tune RAG pipelines.
• Own Python REST services powering query, routing, and alarm-correlation flows.
• Build/maintain connectors to ServiceNow, Splunk, SharePoint, internal wikis.
• Implement evaluation suites and guardrails.
• Investigate prod incidents and ship fixes.

Must-haves:

• 4 8 years total; 2+ years building LLM/RAG or search/retrieval systems.
• Strong Python; FastAPI/Flask; SQL; Redis/Snowflake/Postgres.
• Practical RAG experience.
• Hands-on with ServiceNow API, Splunk SDK/SPL, or SharePoint/Graph API.
• Nice-to-haves: LangChain/LangGraph, pgvector/Redis, hybrid search, Kafka/Celery/RQ, Ray; networking/telecom familiarity.