Senior Software Engineer

2 days ago

Lahore, Punjab, Pakistan Stafflink Full time 900,000 - 1,200,000 per year

About the Role

We are building the next generation of document review and compliance systems for the construction and infrastructure sector—focused on Swedish industry standards. The platform combines robust backend architecture with cutting-edge AI methods such as RAG and agent-based workflows to make quality and compliance checks fast, traceable, and reliable.

Your Responsibilities

  • Build RAG pipelines and agentic RAG workflows using
    LangGraph, LangChain, and PydanticAI (Python)
    .
  • Develop robust
    document ingestion (PDF/Office)
    , chunking/metadata handling, and indexing against vector databases (e.g.,
    Pinecone, Weaviate, pgvector
    ).
  • Integrate with
    Microsoft SharePoint and Google Drive/Docs
    (OAuth, webhooks, file sync, permissions).
  • Set up production pipelines on
    Railway
    .
  • Write
    unit/integration tests
    , establish coding standards, and make sustainable architecture decisions.
  • Collaborate closely with product/founders, contributing to
    technical roadmapping and delivery planning
    .

Requirements (5+ years relevant experience)

  • Fluent in English.
  • Proven track record in
    backend engineering (production systems)
    .
  • Strong expertise in
    Golang (Go)
    as a primary backend language.
  • Practical experience with
    AI/ML in Python
    , including
    RAG (preferably agentic RAG)
    .
  • Hands-on with
    LangGraph
    and/or
    LangChain
    , plus
    PydanticAI
    .
  • Experience deploying and operating on
    Railway
    .
  • Strong skills in building/integrating APIs with
    SharePoint and/or Google ecosystem
    .
  • Database experience (
    PostgreSQL
    ) and
    S3-compatible storage
    .
  • Excellent communication, independence, and prior startup experience (or equivalent responsibility).
  • Expertise in
    vector databases (Pinecone)
    and embedding strategies, plus
    LlamaIndex
    .

Nice to Have

  • Document NLP
    (layout-aware parsing, OCR, table extraction).
  • Security & compliance
    (GDPR, ISO practices), role- and permission models.
  • Experience 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

Hiring Process

  • We start with an
    intro call
    followed by a
    two-day technical assignment
    . You'll work through the task alongside our tech team with a clear to-do list.

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