This is a remote position.
Schedule: Flexible during Central business hours
Total Weekly Hours: 20 Hours
Join an innovative team at the forefront of AI-driven data platforms where engineering meets intelligence. Youll 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.
Responsibilities
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
Independent Contractor Perks
ZR28874JOB
Required Skills:
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
Required Education:
N/A
This is a remote position. Schedule: Flexible during Central business hours Total Weekly Hours: 20 Hours Join an innovative team at the forefront of AI-driven data platforms where engineering meets intelligence. Youll design and build scalable systems that integrate data engineering retriev...
This is a remote position.
Schedule: Flexible during Central business hours
Total Weekly Hours: 20 Hours
Join an innovative team at the forefront of AI-driven data platforms where engineering meets intelligence. Youll 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.
Responsibilities
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
Independent Contractor Perks
ZR28874JOB
Required Skills:
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
Required Education:
N/A
View more
View less