Jobs at Software Mind

The AI Engineer will design, build, and deploy AI solutions, focusing on LLM applications and automation while collaborating closely with clients to provide impactful AI-driven solutions.

The Corporate Data Architect will design and standardize organizational data architecture, working with business and technical teams for effective data usage and governance.

Design and develop scalable, production-grade Android applications using Kotlin, Coroutines, and Jetpack Compose. Build maintainable architectures (MVVM/Clean), integrate RESTful APIs and device interfaces, ensure security and data privacy, improve performance, contribute to CI/CD and automated testing, create reusable SDKs, and collaborate with Product, Design, and Backend teams while driving engineering best practices.

Lead hands-on delivery of a tenant-isolated RAG AI assistant: develop AI Extraction Gateway, implement expert-weighted retrieval and confidence calibration, integrate ingestion and vector stores, orchestrate queries, ensure observability, code quality, and sprint delivery.

Lead end-to-end delivery governance for an AI-driven, tenant-isolated platform. Run two-week sprints and ceremonies, maintain RAID logs and risk registers, coordinate with client stakeholders, enforce scope and change control, prepare go/no-go decision packs, validate integration assumptions, and align team allocation to delivery risk and milestones.

Lead discovery and SME workshops to produce developer-ready requirements and accuracy rubrics for a tenant-isolated RAG AI assistant. Define data ingestion, PII and governance rules, translate expert-weighting into retrieval specifications, author INVEST user stories with acceptance criteria, maintain schema and traceability across Jira/Confluence, and guide accuracy validation and query clustering for tuning.

Design and implement a validation harness and automated test suites for a RAG-based retrieval AI assistant. Validate retrieval accuracy, citation correctness, confidence calibration, RBAC enforcement, audit logging, ingestion pipelines, and produce go/no-go accuracy reports with test evidence.

Develop and maintain Python/FastAPI backend and BFF services for a tenant-isolated RAG AI assistant. Implement SSO/Cognito, audit logging, retrieval orchestration, and integrations with AWS services. Write unit/integration tests, support QA, participate in code reviews, and uphold backend quality standards in an agile LATAM team.

Own and provision AWS tenant-isolated infrastructure and CI/CD for a production LLM/RAG platform. Implement IaC, manage vector stores, observability, secrets, LLM provider connectivity, and environment promotion strategies while supporting ingestion pipelines and security/tenant isolation.

Build a Vue.js SPA chat-style Q&A interface integrated with a Python/FastAPI backend. Implement RBAC, SSO (Cognito/OAuth2), API Gateway integration, reporting/analytics UIs, and collaborate on UX and end-to-end testing within an AWS-native stack.

Design, build, and own tenant-isolated ingestion pipelines that transform emails and documents into PII-minimised, chunked content indexed into per-tenant vector stores. Implement Microsoft Graph and SharePoint/OneDrive ingestion, OCR orchestration, text extraction, vector indexing, schema documentation, and audit/data-lineage controls. Prototype push vs pull ingestion strategies and ensure production-quality ETL for an AWS-native, LLM-backed retrieval-first platform.

Build, deploy, and maintain Sitecore-based web platforms and AWS-powered applications. Develop scalable services, serverless and event-driven microservices, REST/GraphQL APIs, database integrations, localization and geospatial features, and front-end React components within enterprise cloud environments.

Develop, deploy, and maintain Sitecore-based web platforms and AWS-powered applications. Build scalable, event-driven microservices and serverless solutions (Lambda, API Gateway, DynamoDB), design REST and GraphQL APIs, integrate MongoDB/DocumentDB, implement localization with machine translation, handle geospatial data, and collaborate on Docker/Kubernetes and React front-end work.

Build and maintain production-grade React + TypeScript frontends, implement design systems and component libraries, create responsive/mobile-first UIs, integrate with .NET REST APIs, and deploy frontends using AWS CloudFront/S3/Amplify with strong visual polish and UX focus.

Design, build, and operate a unified data platform and domain pipelines. Implement batch and real-time ingestion, data quality, observability, metadata, lineage, access controls, and optimize datasets for analytics and ML. Collaborate with Data Scientists and ML Engineers and contribute to platform roadmap and AI readiness.

Build, deploy, and maintain Sitecore-based web platforms and AWS-powered applications. Develop scalable, event-driven microservices and serverless solutions (Lambda, API Gateway, DynamoDB), RESTful and GraphQL APIs, and integrations for localized multi-lingual systems. Work with MongoDB/DocumentDB, geospatial data, Docker/Kubernetes, and React within enterprise cloud ecosystems.

Senior Front-End Engineer responsible for building scalable, secure React/TypeScript user interfaces, implementing design systems and component libraries, integrating with .NET REST APIs, and delivering responsive, production-ready UI using modern CSS architectures and AWS frontend infrastructure.

Build and maintain production-grade front-end applications using React and TypeScript, implement design systems and component libraries, ensure responsive/mobile-first UI, integrate with .NET REST APIs, and deploy via AWS front-end infrastructure (CloudFront, S3, Amplify). Collaborate with stakeholders to deliver polished, scalable, secure user interfaces for health, safety, and risk-management solutions.

Design and build scalable data ingestion, transformation pipelines, high-performance APIs and event-stream consumers. Evolve a proprietary data platform toward data mesh, improve data quality, collaborate with infrastructure and analytics, automate CI/CD and tests, document solutions, and mentor junior engineers.

Serve as People Partner covering maternity leave: support leaders on performance management and employee relations, drive engagement and retention initiatives, manage end-to-end employee lifecycle, ensure HR compliance, and deliver HR analytics and insights to leadership.