Senior Full Stack Software Engineer
5 days ago
This is a remote position.
Schedule: Flexible during Central business hoursTotal Weekly Hours: 20 Hours
Join an innovative team at the forefront of AI-driven data platforms, where engineering meets intelligence. You'll design and build scalable systems that integrate data engineering, retrieval-augmented AI, and intuitive interfaces to transform how financial and data-intensive industries uncover insights.
This role is ideal for a seasoned software engineer who thrives at the intersection of backend systems, AI infrastructure, and user experience — someone eager to build products that combine human expertise with machine intelligence.
Combine data engineering, AI, and UX to solve complex challenges in financial and data-driven markets
Develop scalable APIs, microservices, and data pipelines for multi-format document ingestion, cleaning, and enrichment
Collaborate with Machine Learning engineers to integrate retrieval, summarization, and entity intelligence into user workflows
Implement and optimize Retrieval-Augmented Generation (RAG) pipelines, embeddings, and vector search
Design backend systems for AI inference, caching, and prompt orchestration
Contribute to frontend architecture (React / ) to connect human and machine insights
Maintain reliability, security, and observability across production AI systems with CI/CD and monitoring
Scope of Role
Own development of core product modules — from ingestion pipelines to AI-powered search tools
Collaborate across data, AI, and product design to shape intelligent workflows
Influence system architecture and data strategy for scalable AI applications
Help define standards for AI observability, safety, and evaluation
Opportunity to advance into a Tech Lead or Applied AI Engineer role as the platform grows
Requirements
5+ years of professional software engineering experience (backend, data, or full-stack)
Strong proficiency in TypeScript / , Python, or modern programming languages
Hands-on experience with AI-enabled applications (OpenAI, Anthropic, LangChain, Pinecone, Weaviate, etc.)
Deep understanding of RAG patterns, embeddings, and semantic search
Familiarity with , React, and modern front-end architectures
Strong foundation in data modeling, ETL, and API design
Experience with cloud infrastructure (AWS, Azure, or GCP), Docker, and CI/CD workflows
Excellent communication and collaboration skills
Bonus: Background in financial data, investment research, or analytics platforms
Permanent work-from-home setup
Immediate hiring
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