Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial operations with AI-driven workflow automation. We’re looking for software engineers with solid foundations in building production systems and a solid applied AI focus. You will be responsible for building functionalities into the product directly and writing production-grade code that brings advanced AI workflows into real-world use.

We have full-time roles available with remote work flexibility, hybrid, or on-site based on your preferences and seniority.
Note: This remote position requires monthly travel to the Bay area or Seattle for in person team meetings.
Key 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.
- Prototype rapidly, gather feedback, and iterate while keeping scale and maintainability in mind.
- Own critical product components and take responsibility for delivering robust, production-grade features.
- Collaborate cross-functionally with data scientists, product managers, and engineers to scope specifications and solve real customer problems.
- Debug complex issues and perform root cause analysis across model pipelines, infrastructure, and product layers to ensure reliability and continuous improvement.

Qualifications
- BS or MS in Computer Science, Statistics, or Mathe

📌 Software Engineer (Bengaluru)
🏢 Genios AI
📍 Bengaluru