About the Project

Software Mind is building a private, tenant-isolated AI assistant for the real estate title and settlement industry. The platform is a retrieval-first (RAG) system that ingests historical email, documents, and structured metadata into a per-tenant vector index, and serves grounded, cited, expert-weighted answers through a chat-style Q&A interface with single sign-on and full audit logging.

The platform is AWS-native with a Python/FastAPI backend, Vue.js frontend, OpenSearch/Pinecone vector store, and OpenAI/Anthropic/Bedrock as LLM provider. You will join a senior, cross-functional LATAM-based team where hands-on AI delivery experience not just familiarity is the baseline expectation.

You will serve as the requirements and alignment anchor for the engagement translating domain knowledge, SME expertise patterns, and retrieval accuracy logic into structured, traceable specifications the engineering team can build against. You will also design the accuracy validation rubrics used at go/no-go gates. This is not a documentation-only role.

Your Responsibilities

Lead discovery sessions and SME alignment workshops; produce structured requirements and integration assumption documentation

Define data ingestion scope: folder selection, corpus boundaries, PII classification requirements, and tenant governance rules

Translate expert-weighting business logic into specifications for the retrieval and ranking layer

Author and maintain the accuracy rubric framework used for SME validation

Write and validate user stories (INVEST-compliant) with acceptance criteria tied to delivery milestones

Produce and maintain schema documentation for the data processing pipeline

Facilitate query clustering analysis to prioritise accuracy tuning work

Bridge between client Designated Expert input and the engineering team's implementation backlog

Maintain requirements traceability across Jira and Confluence throughout all phases

We are accepting applications from LATAM countries

Must-Have Skills & Experience

6+ years as a Business Analyst on software delivery projects; senior seniority required

Proven ability to translate complex business needs into structured, developer-ready requirements (user stories, use cases, acceptance criteria)

Strong data literacy: ability to reason about document structures, metadata schemas, and classification logic

Experience eliciting requirements from domain SMEs and translating them into implementable specifications

Proficiency with user story authoring, backlog management, and acceptance criteria definition in agile environments

Excellent written and spoken English direct engagement with client stakeholders is expected

AI Experience (Required Not Optional)

At least one project involving requirements definition or evaluation design for a production AI/ML or NLP system RAG, search, classification, recommendation, or similar

Ability to define evaluation criteria and accuracy rubrics for AI system outputs not just functional requirements

Understanding of LLM behaviour, grounding, hallucination risk, and retrieval relevance trade-offs at a conceptual level sufficient to write testable acceptance criteria

Experience bridging between domain subject-matter experts and AI/ML engineering teams

Nice-to-Have

Domain exposure to legal, compliance, financial services, or document-heavy regulated industries

Experience with PII classification, data governance, or privacy-by-design requirements

Familiarity with LangChain, vector search concepts, or document processing pipelines at a conceptual level

We are accepting applications from LATAM countries

We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work!

Originally posted on Himalayas

[VCK] Senior Business Analyst (AI Platform) at Software Mind