
Senior Software Engineer
2 weeks ago
About the Role
We're looking for a
Senior Software Engineer (Backend/AI)
to join our team and take ownership of building production-ready RAG (Retrieval-Augmented Generation) and agentic AI systems. This role is ideal for someone who thrives in a fast-paced startup environment, loves solving complex technical challenges, and wants to play a critical part in shaping the future of our AI-driven products.
Responsibilities
- Design and implement
RAG pipelines and agentic RAG workflows
using
LangGraph, LangChain, and PydanticAI (Python)
. - Build robust
document ingestion pipelines
(PDF/Office), including chunking, metadata handling, and indexing with vector databases (Pinecone, Weaviate, pgvector). - Develop and maintain
integrations with Microsoft SharePoint and Google Drive/Docs
(OAuth, webhooks, file sync, permissions). - Deploy and manage production pipelines on
Railway
. - Write
unit and integration tests
, enforce coding standards, and make sustainable architecture decisions. - Collaborate directly with founders and product teams on
technical roadmaps and delivery planning
.
Requirements (5+ years relevant experience)
- Fluent in English with excellent communication skills.
- Proven experience in
backend engineering
with production-grade systems. - Strong background in
AI/ML with Python
, specifically
RAG
(agentic RAG preferred). - Hands-on experience with
LangGraph, LangChain, and PydanticAI
. - Expertise in
deploying and operating on Railway
. - Strong experience with
API integrations
, particularly
SharePoint and Google ecosystem
. - Proficiency with
PostgreSQL
and
S3-compatible storage
. - Knowledge of
vector databases
(Pinecone/Weaviate/pgvector) and
embedding strategies
. - Independent, self-driven, with prior
startup experience
(or equivalent level of responsibility).
Nice to Have
- Experience with
document NLP
(layout-aware parsing, OCR, table extraction). - Knowledge of
security & compliance
(GDPR, ISO practices), role/permission models. - Familiarity with
multi-agent systems
, workflow orchestration, and evaluation frameworks.
Our Tech Stack & Tools
- Backend:
Go (primary) - AI/Agents:
Python, LangGraph, LangChain, PydanticAI, RAG/agentic RAG - Infrastructure:
Railway - Integrations:
Microsoft SharePoint, Google Drive/Docs APIs - Data/Indexing:
Vector databases (Pinecone/Weaviate/pgvector), S3-compatible storage, LlamaIndex
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