Software Engineer - AI Platform (US)

Genios AI; Santa Clara (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive Compensation

Unlimited PTO

AI Assistants for work

Job summary

A dynamic AI startup is seeking an Applied AI Engineer to revolutionize financial operations with AI-driven solutions. You will build and scale AI workflows, integrate model training, and manage GenAI solutions. Ideal candidates have a strong software engineering background, 3+ years of ML/DL pipeline experience, and proficiency in Python or Go. Enjoy the flexibility of remote work with competitive compensation, unlimited PTO, and AI assistants for support.

Qualifications

• 3+ years of experience in ML/DL pipelines, deployment, and applied AI solutions.
• Proficiency in frameworks like TensorFlow, PyTorch, Scikit-Learn.
• Experience with LLM and AI frameworks such as Langchain and Hugging Face.

Responsibilities

• Build and scale AI/ML and GenAI pipelines from experimental to production-ready systems.
• Deploy and manage GenAI solutions such as chatbots and predictive analytics tools.
• Collaborate with cross-functional teams to deliver robust, production-grade features.

Skills

Software engineering

ML/DL pipeline experience

Python or Go proficiency

Experience with AI frameworks

Full-stack development

Education

BS or MS in Computer Science, Statistics, or Mathematics

Tools

TensorFlow

PyTorch

FastAPI

Job description

Overview

We are a scrappy, data-driven, customer-focused startup revolutionizing financial operations with AI-driven workflow automation. We are looking for an Applied AI Engineer who is first and foremost a strong software engineer 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. This role emphasizes delivering minimum loveable products powered by AI—building scalable, reliable, and user-friendly systems. You’ll work across model pipelines, infrastructure, and product layers with an emphasis on applied AI delivered in production. This is a full-time role 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.

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 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 methodologies and frameworks like self-prompting, DSPy, or Banks.
• Experience with performance optimization and high-scale document indexing systems.
• Prior startup experience, grit, and ability to thrive in fast-moving environments.
• Familiarity with databases and comfortable writing SQL queries.

Perks

• Competitive Compensation
• Unlimited PTO
• AI Assistants for work (Coding, General Purpose, etc.)