Software Engineer - AI Platform (US)

About us

We intend to defy the cliches while living them. Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial workflows using AI. You will be instrumental in shaping this cutting edge AI product owning features from design to launch.

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 strong 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.

As an engineer at Genios, you’ll focus on making minimum loveable products powered by AI—building scalable, reliable, and user-friendly systems. You’ll work across model pipelines, infrastructure, and product layers, but with a clear emphasis on applied AI delivered in production. This role requires ownership, hands-on coding, and the ability to move fast while balancing robustness and innovation.

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 Mathematics, or equivalent experience.

- 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.

- Have shipped AI features that users actually use; production experience over theoretical knowledge.

- Track record of building reliable products with strong attention to detail and usability.

- Autonomous and excited about taking ownership over major initiatives.

- Frequent user of AI products (Cursor, Claude Code, Copilot, etc.) during the development lifecycle.

Bonus Points

- Production experience with LLMs (APIs or custom implementations) at meaningful scale.

- Experience building agentic systems or LLM-enabled products.

- Familiarity with prompt tuning methodolo