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Senior Development Lead – AI, RAG Platform
Software MindSenior 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.
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonFastAPIAWS LambdaAWS ECSAPI designvector databasesconfidence scoringretrieval evaluationprompt engineeringchunking strategies
Soft Skills
technical deliverycollaborationteam unblockingcode reviewsrisk identificationsprint planningaccuracy rubrics
Tools & Technologies
CloudWatchX-RayOpenSearchPineconeWeaviateDynamoDBAPI Gatewayvalidation harnessobservabilitystructured logging
Industry Keywords
AI Extraction GatewayRAGsemantic searchLLM-integrated applicationproduction configurationenterprise configuration
Tech Stack
Tools & technologiesAWSDynamoDBPythonRay
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