Senior Software Engineer

Kepler AI • New York, NY

17h

About The Position

Kepler AI is building a transparent and intelligent deep-research platform
Financial professionals spend 60-70% of their time manually gathering and consolidating data in a $26.5 trillion industry where speed and accuracy directly impact outcomes. The research landscape has fragmented into dozens of specialized systems — analysts toggle between platforms for financials, transcripts, market data, and macro indicators, reviewing hundreds of documents across disconnected sources for a single investment thesis.
Generic AI tools promise efficiency but fail the trust test. They hallucinate data, confabulate reports, and provide insights without showing their work, forcing analysts back into manual verification. In an industry where being wrong costs millions, opacity isn't acceptable.
Kepler solves this by automating research while maintaining the accuracy and traceability financial decisions demand. The result: faster decisions, deeper analysis, and a competitive advantage where synthesizing information more thoroughly than competitors translates directly to performance.
Kepler AI was founded by two Palantir veterans with 20 years of combined experience building core parts of Palantir's Gotham and Foundry Platform. Our founders created Palantir Quiver, the analytics engine behind $100M+ enterprise deals with BP and Airbus, architected core compute and data systems, led major Department of Defense projects, and served as Head of Business Engineering at Citadel.
We're backed by founders of OpenAI, Facebook AI, MotherDuck, DBT, and Outerbounds.

As a Sr. Software Engineer at Keru, you'll architect and build the intelligent backend infrastructure that powers our autonomous AI research agents. You'll design the core orchestration systems that coordinate multiple specialized AI agents, manage complex multi-step research workflows, and ensure reliable execution of mission-critical financial analysis tasks.
Within your first 90 days, you will:
Design and ship your first multi-agent workflow system into production with senior mentorship
Build and deploy an agent orchestration service that handles real financial research tasks
See your code power autonomous research workflows at top financial institutions
Take ownership of a core agent system from architecture to production deployment
This role is ideal for engineers who want to build foundational agentic infrastructure at the intersection of AI and finance, where robust system architecture enables autonomous agents to augment human decision-making at enterprise scale.

Requirements

• 5+ years of backend systems experience with a proven track record of building production-scale distributed systems
• Strong CS fundamentals: distributed systems, algorithms, system design, and debugging complex multi-service architectures
• Experience with agent frameworks or multi-agent system design patterns
• Expert-level proficiency in Python, Node.js, or Rust with experience in microservices and event-driven architectures
• Hands-on experience with vector databases (Pinecone, Weaviate, Chroma) and semantic search systems
• Track record of shipping: production systems that handle mission-critical workloads and real user traffic
• Clear technical communication: ability to architect complex systems and collaborate with both technical and business stakeholders

Nice To Haves

• Experience building AI/ML production systems, workflow orchestration, or autonomous agent platforms
• Background with financial data, APIs, or enterprise integration (Bloomberg Terminal, trading systems)
• Knowledge of advanced backend technologies: message brokers (Kafka), container orchestration (Kubernetes), infrastructure as code
• Technical leadership experience: mentoring engineers, making architectural decisions, driving technical strategy
• Startup experience or side projects where you built systems from scratch

Responsibilities

• Agent Orchestration & Workflow Engineering: Design and implement sophisticated agent coordination systems that manage complex, multi-step research workflows. Build state machines, task queues, and execution engines that coordinate specialized AI agents across diverse data sources and analysis tasks.
• Multi-Agent System Architecture: Architect scalable systems for agent communication, task delegation, and result synthesis. Implement patterns for agent specialization, load balancing, and dynamic resource allocation across research workflows.
• Autonomous Task Execution: Build robust execution frameworks that handle long-running, multi-phase research tasks with automatic retry logic, error recovery, and graceful degradation. Ensure agents can autonomously navigate complex decision trees while maintaining human oversight capabilities.
• AI Model Integration & Management: Integrate and orchestrate multiple language models (GPT, Claude, specialized financial models) with intelligent routing, fallback mechanisms, and cost optimization. Build abstraction layers that allow seamless model swapping and A/B testing.
• Real-Time Data Pipeline Architecture: Design high-throughput data ingestion systems that process streaming financial data, SEC filings, news feeds, and alternative datasets. Build event-driven architectures that trigger agent workflows based on real-time market events.
• Agent Memory & Context Management: Implement sophisticated memory systems that allow agents to maintain context across long research sessions, learn from past interactions, and build upon previous analysis. Design vector databases and knowledge graphs that support intelligent information retrieval.
• Enterprise Integration & Reliability: Build systems that meet the security and compliance standards of top financial institutions, with comprehensive monitoring, audit logging, and enterprise-grade authentication.

Benefits

• Comprehensive medical, dental, vision, 401k, insurance for employees and dependents
• Automatic coverage for basic life, AD&D, and disability insurance
• Daily lunch in office
• Development environment budget - latest MacBook Pro, multiple monitors, ergonomic setup, and any development tools you need
• Unlimited PTO policy
• "Build anything" budget - dedicated funding for whatever tools, libraries, datasets, or infrastructure you need to solve technical challenges, no questions asked
• Learning budget - attend any conference, course, or program that makes you better at what we're building

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed