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Software Mind

Senior Development Lead – AI, RAG Platform

Software Mind

Senior Development Lead at Software Mind leading development of AI Extraction Gateway platforms. Focused on hands-on coding and technical delivery in a cross-functional LATAM team.

Posted 6/17/2026full-timeRemote • 🇦🇷 ArgentinaSeniorWebsite

Tech Stack

Tools & technologies
AWSDynamoDBPythonRay

About the role

Key responsibilities & impact
  • Lead hands-on development of the AI Extraction Gateway, progressing from Simple RAG to Complex RAG
  • Implement and tune the expert-weighted (SME) retrieval layer and structured result validation
  • Own confidence score calibration; collaborate with the BA on accuracy rubrics and test evidence
  • Drive technical delivery cadence: sprint planning, code reviews, technical risk identification, and team unblocking
  • Ensure architectural patterns are implemented consistently across the codebase
  • Collaborate with the Data Engineer on ingestion pipeline integration points and vector store schema
  • Implement and evolve the query orchestration layer (Python/FastAPI, AWS Lambda/ECS)
  • Support the QA Automation Engineer in designing the validation harness for RAG outputs
  • Maintain development observability: structured logging, CloudWatch dashboards, X-Ray tracing

Requirements

What you’ll need
  • 6+ years in software development; minimum 2 years in a tech lead or senior engineering lead capacity
  • Strong Python development skills; FastAPI or equivalent async Python framework required
  • Hands-on AWS experience: ECS and/or Lambda, API Gateway, DynamoDB, S3, CloudWatch, X-Ray
  • Experience with vector databases OpenSearch, Pinecone, Weaviate, or equivalent
  • Solid understanding of API design, service decomposition, and clean backend architecture
  • AI Experience (Required Not Optional)
  • Delivered at least one production RAG, semantic search, or LLM-integrated application end-to-end not a prototype or internal tool
  • Practical experience integrating with LLM provider APIs (OpenAI, Anthropic, or Amazon Bedrock) in a production or enterprise configuration
  • Working knowledge of chunking strategies, embedding models, retrieval ranking, and prompt engineering in a production context
  • Experience with confidence scoring, retrieval evaluation, or hallucination mitigation approaches in a deployed system

Benefits

Comp & perks
  • Health insurance
  • Professional development opportunities

ATS Keywords

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Hard Skills & Tools
PythonFastAPIAWS LambdaAWS ECSAPI designvector databasesconfidence scoringretrieval evaluationprompt engineeringchunking strategies
Soft Skills
technical deliverycollaborationteam unblockingcode reviewsrisk identificationsprint planningaccuracy rubrics