Senior Software Engineer – AI Systems, Backend & Cloud Infrastructure

Location: Remote
Type: Full-time | Core Engineering Team | Senior Individual Contributor / Technical Lead
About Taiyo.AI
Taiyo.AI is building the intelligence layer for the physical economy, powering better decisions across infrastructure, construction, energy, capital investment, and global supply chains.
Our platform brings together millions of infrastructure projects, procurement opportunities, companies, and risk signals into a rapidly expanding global data and intelligence ecosystem. We build advanced AI applications and agentic workflows that help enterprises understand complex markets, identify opportunities, evaluate risks, and make better decisions.
We're a small, ambitious engineering team operating at the intersection of AI, large-scale data systems, and enterprise software.
We move quickly, take ownership seriously, and value engineers who can turn complex problems into reliable, scalable products.
The Role
We're looking for a Senior Software Engineer who can become a key technical contributor to Taiyo's next stage of growth.
This is a hands-on engineering role spanning advanced AI workflows, Python backend development, large-scale data infrastructure, cloud architecture, and production systems.
You'll help build and scale the services behind our AI platform, improve how we process and serve large volumes of data, and develop the backend infrastructure supporting increasingly sophisticated AI agents and enterprise applications.
You'll also help strengthen our security and compliance foundations, including the technical implementation and documentation of controls supporting SOC 2 and ISO 27001.
This is not a dedicated compliance or DevOps role. We're looking for a versatile software engineer who can work across systems, make sound architectural decisions, and grow into a technical leader.
What You'll Work On
AI Systems & Advanced Workflows
Design, build, and maintain sophisticated AI applications and agentic workflows using Python.
Develop LLM orchestration, tool-calling, multi-step reasoning, retrieval, and agent execution systems.
Build integrations between foundation models, internal data services, APIs, databases, and enterprise workflows.
Improve AI workflow reliability, evaluation, observability, latency, and inference efficiency.
Explore and implement emerging AI engineering techniques where they create meaningful product value.
Help translate new AI capabilities into robust, production-ready software.
2. Backend Engineering & Scalable Data Systems
Design and build production backend services, APIs, and distributed processing systems.
Help scale Taiyo's ingestion, transformation, indexing, retrieval, and data-serving infrastructure.
Improve system performance, availability, data quality, and processing efficiency.
Work with structured and unstructured data across large and growing datasets.
Design asynchronous workflows, background jobs, and reliable service integrations.
Build reusable engineering infrastructure that supports the wider product and AI teams.
Identify architectural bottlenecks and proactively propose better solutions.
3. Cloud Infrastructure & Production Engineering
Build, deploy, and maintain cloud-native applications on AWS.
Work with containers, Kubernetes/EKS, CI/CD pipelines, and infrastructure automation.
Improve monitoring, logging, reliability, fault tolerance, and cost efficiency.
Strengthen infrastructure architecture to support growing enterprise workloads.
Develop internal tools and automation that reduce operational overhead.
Take end-to-end responsibility for the systems you build, from design and implementation to deployment and production support.
4. Security, Compliance & Engineering Foundations
As Taiyo grows its enterprise business, security and compliance are important engineering priorities.
You'll contribute to the technical foundations supporting SOC 2 and ISO 27001, working alongside leadership and external compliance specialists.
Implement and document security controls across AWS, Kubernetes, repositories, and development workflows.
Strengthen access management, encryption, secrets management, logging, monitoring, backups, and change controls.
Automate security checks, compliance evidence collection, and relevant operational documentation.
Support technical remediation, audit preparation, and customer security requirements.
Ensure that security and compliance become part of our engineering practices rather than separate administrative processes.
Compliance is an important near-term initiative, but the broader and longer-term responsibility is building excellent software and scalable AI infrastructure.
5. Engineering Ownership & Leadership
Take ownership of substantial technical problems from definition to production.
Make sound architectural decisions and communicate trade-offs clearly.
Write clean, maintainable, well-tested, and well-documented code.
Review code, mentor other engineers, and help raise engineering standards.
Proactively identify weaknesses, technical debt, and opportunities for improvement.
Build systems and processes that reduce dependencies and help the wider team move faster.
Work directly with the founding team and contribute to engineering and product priorities.
What We're Looking For
Required Qualifications
5+ years of strong, hands-on software engineering experience.
Excellent Python programming skills, including production backend systems, APIs, automation, and data processing.
Experience building AI/LLM applications, agentic workflows, or sophisticated backend automation.
Experience developing and operating production systems on AWS or comparable cloud infrastructure.
Strong understanding of backend architecture, databases, APIs, asynchronous processing, and system reliability.
Familiarity with Docker, Kubernetes, CI/CD, and modern software deployment practices.
Working knowledge of application security and secure software development.
Ability to independently investigate complex technical problems and deliver reliable solutions.
Strong communication, documentation, and collaborative engineering skills.
Highly Desirable
Experience with LLM orchestration frameworks, retrieval systems, vector databases, model evaluation, or multi-agent architectures.
Experience scaling large data ingestion pipelines, distributed data processing, and search infrastructure.
AWS EKS, Terraform, Helm, or related infrastructure tooling.
TypeScript and modern web application development.
Experience with security controls, SOC 2, ISO 27001, or compliance automation platforms such as Vanta.
Experience optimizing cloud infrastructure, model inference, or large-scale data workloads.
Experience in a fast-moving startup or small engineering team.
Who Will Thrive Here
We value exceptional engineering ability, but also the mindset behind it.
You'll thrive at Taiyo if you:
Are deeply curious about AI, software architecture, and emerging technologies.
Enjoy learning new systems and taking on unfamiliar technical challenges.
Prefer building and shipping useful software to endless planning.
Take initiative without waiting for detailed instructions.
Think beyond your assigned tickets and actively improve the broader system.
Take pride in documentation, code quality, and communicating your work.
Can challenge assumptions constructively and explain your technical reasoning.
Want to grow into a technical leader who shapes systems, mentors others, and influences the future of the company.
Why Join Taiyo.AI?
This is an opportunity to join the core engineering team of a rapidly growing AI company tackling some of the most complex data and intelligence challenges in the global economy.
You'll work on real-world AI systems, large-scale data infrastructure, and enterprise applications used by leading organizations across infrastructure, engineering, finance, and investment.
You'll have significant technical ownership, work closely with the founding team, and help shape the architecture, engineering culture, and next generation of Taiyo's technology.

Work arrangement
Yes