Revolutionizing financial workflows using AI-driven workflow automation.
Requirements
- Strong software engineering background with proven experience shipping production systems.
- 3+ years of experience in ML/DL pipelines, deployment, and applied AI solutions.
- Proficiency in Python or Go with frameworks like TensorFlow, PyTorch, Scikit-Learn, FastAPI, or gRPC.
- Experience with LLM and AI frameworks such as Langchain, LlamaIndex, Hugging Face Transformers, and OpenAI API.
- Knowledge of RAG architectures, embeddings, reranking models, and LLM-based dialogue systems.
- Experience building and scaling backend platforms, APIs, and microservices.
- Comfortable working full-stack, from model APIs down to user-facing integrations.
Responsibilities
- Build and scale AI/ML and GenAI pipelines from experimental workflows to production-ready systems.
- Integrate model training, evaluation, deployment, and monitoring into product workflows
- Deploy and manage GenAI solutions such as chatbots, RAG applications, and predictive analytics tools.
- Operationalize LLMs and AI agents, including prompt orchestration, chaining, and fine-tuning.
- Benchmark models, develop evaluation frameworks, and improve reliability and auditability.
- Implement observability, monitoring, and rollback mechanisms to ensure secure, scalable deployments.
- Work across the stack—from backend systems to product SDKs—to deliver AI features directly into user-facing applications.
Other
- Note: This remote position requires monthly travel to the Bay area or Seattle for in person team meetings.
- Autonomous and excited about taking کرنے ownership over major initiatives.
- Frequent user of AI products (Cursor, Claude Code, Copilot, etc.) during the development lifecycle.
- Prior startup experience, grit, and ability to thrive in fast-moving environments.
- Familiarity with databases and comfortable writing SQL queries.
