Fiska is transforming how finance teams manage event spend. We're building the first AI-powered platform that automates expense tracking, budget management, and real-time reconciliation for social media and marketing professionals (SMMPs).
Our customers save an average of $250K+ annually and reduce reconciliation time by 78%. We're backed by leading investors and working with global brands to solve billion-dollar problems in event finance.
About the Role
As a Founding AI Engineer at Fiska, you'll be at the cutting edge of building production‑grade AI systems that power our intelligent expense management platform. You'll own the entire AI stack—from research and experimentation to production deployment—and directly impact how thousands of finance teams interact with financial data.
This is a rare opportunity to shape the AI/ML direction of an early‑stage startup, working directly with cofounders to build agentic systems, implement RAG pipelines, and create AI experiences that feel magical to users while maintaining enterprise‑grade reliability and security.
Key Responsibilities
Agentic Systems:
Take agentic AI SMMP workflows from concept to production, owning the complete pipeline including retrieval, reasoning, tool integration, and safety measures while continuously improving accuracy through data‑driven iteration
Evaluation Infrastructure:
Architect robust evaluation frameworks for prompts and models with both offline and online testing capabilities, enabling rapid experimentation through A/B testing and systematic performance comparison
Context Engineering:
Build sophisticated context management systems incorporating RAG, long‑term memory, intelligent summarization, and data compression to enhance both conversations and automated expense categorization
Product Collaboration:
Partner directly with founders and product leaders to transform customer pain points into intelligent agent capabilities, run experiments, and deliver production features
Internal Tools:
Develop reusable tools and SDKs that empower engineering teams and AI systems to build faster, creating a multiplier effect across the organization
Model Orchestration:
Manage integrations across multiple LLM providers with intelligent fallback mechanisms, balancing cost efficiency, response speed, and output quality for optimal performance
Observability:
Implement comprehensive monitoring infrastructure tracking agent behavior, API costs, failure patterns, hallucination detection, and safety guardrails with actionable dashboards driving product strategy
Safety & Compliance:
Design and deploy robust guardrails, and implement safety protocols ensuring AI‑generated outputs meet stringent financial industry compliance and regulatory requirements
Continuous Improvement:
Establish clear success metrics covering accuracy, latency, cost, and safety, design and execute A/B tests, and integrate user feedback loops to drive measurable quality improvements
Requirements
Proactive and self‑motivated engineer with strong ownership mentality and ability to drive projects independently from inception to completion
Builder's mindset with comfort navigating ambiguity, rapid prototyping skills, systematic debugging approach, and relentless focus on user experience
Demonstrated expertise in large language models through professional work or exceptional personal projects showcased on your resume
Proven experience integrating multiple LLM providers with tool‑calling and function‑calling capabilities, comfortable switching between models and implementing robust fallback strategies
Deep hands‑on experience with RAG systems including indexing strategies, chunking techniques, embeddings, and reranking, with understanding of reliability and cost‑latency optimization
Solid computer science fundamentals including data structures, algorithms, comprehensive testing practices, and performance profiling
Advanced prompt engineering skills with experience building prompt libraries, analyzing failure modes, and systematically refining prompts and policies
Strong analytical ability to establish meaningful KPIs covering accuracy, latency, cost, and safety, with experience designing A/B tests and implementing human feedback systems
Production experience with MongoDB including schema design, optimization, and scaling
Proficiency in Python with hands‑on experience in modern ML/AI frameworks and libraries
Nice to Have
Working knowledge of cloud‑native vector databases such as AWS OpenSearch with k‑NN, Amazon MemoryDB for Redis, GCP Vertex AI Vector Search, pgvector on Aurora/AlloyDB, or managed services like Pinecone, Qdrant, or Weaviate
Experience with AWS Bedrock Agents, GCP Vertex AI Agent Builder, or modern agent frameworks like LangGraph, CrewAI, and AutoGen for building production‑grade agentic systems
Hands‑on experience with cloud AI platforms including AWS Bedrock, GCP Vertex AI, or Azure OpenAI for model deployment and orchestration
Proficiency with LLM observability and evaluation platforms such as AWS CloudWatch with Bedrock integration, GCP Cloud Trace, Vertex AI Model Monitoring, Langfuse, Weights & Biases, or MLflow
Experience with cloud‑based fine‑tuning and model optimization using AWS SageMaker, Amazon Bedrock Custom Models, GCP Vertex AI Training, or Model Garden
Advanced understanding of retrieval systems, embeddings architecture, safety mechanisms, guardrail implementation, and red‑team testing methodologies
Academic or industry background in natural language processing or machine learning research with publications or patents
Competitive Compensation
Industry‑leading salary with significant equity stake to share in our success
Comprehensive medical, dental, and vision coverage for you and your family
Remote First
Work from anywhere in the US with flexible hours and home office stipend
Unlimited PTO
Take the time you need to recharge with our flexible vacation policy
Learning Budget
Annual learning allowance for AI/ML courses, certifications, research papers, and tech conferences
Early‑stage startup with rapid growth opportunities and direct impact on company direction
Our Values
Customer First
Every decision starts with the customer. We obsess over solving real problems and delivering measurable value.
Fast & Agile
We move with speed and precision. Ship quickly, iterate constantly, and adapt to change.
Security First
We handle billions in event spend. Security and trust are non‑negotiable in everything we build.
Own Your Work
We give you autonomy and trust you to make decisions. Take ownership and drive impact.
Sustainability
We build for the long term—sustainable growth, sustainable practices, sustainable impact.
Give Back
Success means lifting others. We invest in our communities and create opportunities for all.
Ready to join us?
Apply now and help us build the future of event spend management
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