Build and scale an AI-powered stock research platform: design data pipelines ingesting SEC and market data, develop backend APIs, implement semantic search with embeddings and vector DBs, improve production reliability and performance, and own features end-to-end from design through deployment and monitoring.
About the Role
We are building an AI-powered financial research platform focused on real-time insights from SEC filings, market data, and sector intelligence across mining, industrials, and beyond.
Our platform combines large-scale data pipelines, search infrastructure, and LLM-driven workflows to power an AI stock research assistant, internal analytics systems, and investor-facing tools.
We’re looking for a strong engineer who can own systems end-to-end from data ingestion to APIs to production deployment and help scale a live platform.
You’ll work directly with a high-impact team, with real ownership and the ability to influence technical direction.
What You’ll Do
- Build and scale an AI-powered stock research assistant that processes SEC filings and financial data in real time
- Design and maintain data pipelines for ingesting and transforming large-scale financial datasets (EDGAR, market data, etc.)
- Develop backend systems and APIs powering search, analytics, and AI workflows
- Implement and optimize semantic search systems using embeddings and vector databases
- Build internal tools and dashboards for analytics, content performance, and investor insights
- Improve performance, reliability, and scalability across production systems
- Take ownership of features from design to implementation, deployment, monitoring.
Required Skills
- Strong backend experience with Python (FastAPI or similar)
- Solid knowledge of SQL (Postgres/MySQL) and data modeling
- Experience building and maintaining production-grade APIs
- Hands-on experience with AWS (EC2, RDS, or similar services)
- Experience with data pipelines / ETL systems
- Good understanding of system design and scalable architectures
- Familiarity with vector databases (pgvector, Pinecone, Weaviate, etc.)
- Experience with LLM-based systems or AI applications
- Knowledge of Docker, CI/CD, or cloud deployments
Nice to Have
- Exposure to financial data / SEC filings (EDGAR), metals and mining data
- Experience building analytics dashboards or internal tools
What We Look For
- Strong ownership mindset
- Ability to debug and solve problems independently
- Clean, maintainable, production-quality code
- Comfort working in a fast-moving, unstructured environment
- Clear communication in a remote team
Similar Jobs
Cloud • Information Technology • Security • Software • Cybersecurity
Administer and architect the enterprise Google Workspace platform, including Gmail, Drive, Meet, Calendar, and Docs. Lead Google Gemini Enterprise rollout, governance, security, and adoption. Build automation with Apps Script, GAM, and APIs; manage SAML SSO, SCIM provisioning, DLP, AI policies, and MDM controls. Resolve technical escalations, coordinate with vendors, train users, and improve collaboration through performance analysis.
Top Skills:
APIsDlpGamGmailGoogle Admin ConsoleGoogle Apps ScriptGoogle CalendarGoogle DocsGoogle DriveGoogle GeminiGoogle MeetGoogle VaultGoogle WorkspaceMdmSAMLScimSso
Cloud • Information Technology • Security • Software
Leverage AI-assisted research and automation to outbound call, qualify, and book meetings with B2B decision-makers. Manage warm-bound outreach, recover no-shows, document qualification intel in CRM, and drive pipeline metrics (calls connected, meetings booked, qualification accuracy, and pipeline contribution).
Top Skills:
AIChilipiperGongNimbus Ai SdrQualifiedSalesforce
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
As an ML Engineer, you will design, experiment, and deploy AI/ML models, evaluate their performance, and leverage Python and SQL.
Top Skills:
PythonPyTorchScikit-LearnSQL
What you need to know about the Bengaluru Tech Scene
Dubbed the "Silicon Valley of India," Bengaluru has emerged as the nation's leading hub for information technology and a go-to destination for startups. Home to tech giants like ISRO, Infosys, Wipro and HAL, the city attracts and cultivates a rich pool of tech talent, supported by numerous educational and research institutions including the Indian Institute of Science, Bangalore Institute of Technology, and the International Institute of Information Technology.
