Senior Ai/Ml Inference Platform Engineer
Software Engineering, Data Science
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Descrizione del lavoro
Darwoft is hiring a Senior/Staff Software Engineer to build production-grade backend services in an AI-native environment. You will work on a large codebase, design and implement new capabilities, and improve reliability and performance while leveraging AI coding agents.
The role emphasizes ownership, pragmatic architecture, and collaboration with product leadership in a remote LATAM setting. Strong experience with Java, Python, and AI-enabled workflows is essential.
Competenze
- 8+ years of software engineering or backend development.
- 5+ years of Python production backend experience.
- Strong Java experience.
- Hands-on AI/LLM-based application development experience.
- Experience with distributed systems and asynchronous processing.
- Experience with databases, message queues, and data pipelines.
- Hands-on Docker and Kubernetes in production.
- Startup or fast-paced environment with ownership mindset.
- Advanced English level.
Mansioni
- Navigate, understand, and evolve a large existing production codebase.
- Design and implement new product capabilities across a complex SaaS platform.
- Make pragmatic architectural and system design decisions as the product scales.
- Identify technical debt and reliability issues; address risks.
- Use AI coding agents extensively throughout the lifecycle.
- Leverage AI to explore codebases, design implementations, and refactor code.
- Build and evolve backend services, APIs, data models, and workflows.
- Contribute across the application stack as needed.
- Strengthen automated testing, observability, and production readiness.
Conoscenze
Strumenti
Descrizione del lavoro
At Prometeo Talent , we connect top-tier tech and engineering professionals with companies that are shaping the future. With a strong presence across America and Europe , we’re proud to be one of the highest-rated recruitment agencies in the market.
We're currently partnering with a fast-growing US-based cybersecurity startup . The company is building innovative security solutions that help organizations strengthen their cybersecurity posture through intelligent, scalable, and modern technology. As an early-stage startup, you'll have the opportunity to work on complex technical challenges, contribute to product evolution, and make a direct impact on the growth and success of the platform.
At Prometeo Talent , we connect top-tier tech and engineering professionals with companies that are shaping the future. With a strong presence across America and Europe , we’re proud to be one of the highest-rated recruitment agencies in the market.
We're currently partnering with a fast-growing US-based cybersecurity startup . The company is building innovative security solutions that help organizations strengthen their cybersecurity posture through intelligent, scalable, and modern technology. As an early-stage startup, you'll have the opportunity to work on complex technical challenges, contribute to product evolution, and make a direct impact on the growth and success of the platform.
We are looking for a Senior Backend Engineer who thrives in startup environments and enjoys building scalable systems from the ground up.
This role is ideal for engineers who combine deep backend expertise with a strong ownership mindset . You will play a key role in designing , building , and maintaining distributed systems while collaborating with a highly technical and fast-moving team.
The ideal candidate has extensive experience with Java and Python , enjoys solving complex engineering problems, and embraces AI-assisted development workflows to increase productivity without compromising quality.
- Design, build, and maintain scalable backend services using Java and Python.
- Develop distributed systems involving databases, APIs, message queues, and data processing pipelines.
- Take full ownership of features and services throughout their lifecycle, from design and implementation to monitoring and optimization.
- Build production-ready systems with a strong focus on reliability, performance, and maintainability.
- Collaborate closely with product and engineering teams to translate business requirements into technical solutions.
- Improve system performance, scalability, and operational efficiency across the platform.
- Leverage AI-assisted development tools to accelerate delivery while ensuring code quality and engineering best practices.
- Participate in architectural discussions and contribute to key technical decisions as the company scales.
- Continuously improve development processes, tooling, and engineering standards.
- 8+ years of experience in software engineering or backend development.
- 5+ professional experience with Python , building and maintaining production-grade backend systems.
- Strong experience with Java .
- Hands-on experience with AI/LLM-based application development (AI agents, agentic systems, or LLM-powered applications)
- Experience building AI-driven features, LLM integrations, or agentic workflows in production environments is highly preferred.
- Solid understanding of distributed systems, scalable architectures, and asynchronous processing.
- Experience working with databases, message queues, and data processing pipelines .
- Hands-on experience with Docker and Kubernetes in production environments.
- Proven experience building, maintaining, optimizing, and improving products after launch.
- Strong ownership mindset, autonomy, and ability to thrive in startup or fast-paced environments .
- Advanced English level
- Experience working in product-focused companies, owning products beyond the initial development phase.
- Experience in cybersecurity products or security-focused platforms.
- Experience with Kafka, RabbitMQ, or similar messaging systems.
- Experience building large-scale distributed data processing systems.
- Background in high-growth startups or scale-ups.
- Previous experience in large technology companies
100% remote work with flexibility to work from LATAM.
Join an early-stage cybersecurity startup where your work will directly impact the product and company growth.
Be part of an engineering culture that embraces modern AI-assisted development workflows.
Company-provided laptop and equipment.
Generous PTO and regional holidays.
High ownership, autonomy, and direct influence on technical decisions.
- Location: Anywhere in LATAM
- Job Type: 100% Remote
- Engagement: Full-time Contractor
- Payment: USD
- Project: AI-Native LegalTech / M&A SaaS Platform
- Seniority: Senior / Staff
- English Level: B2 / C1
At Darwoft, we build digital products with heart. We're a Latin American technology company focused on creating impactful, human-centered software in partnership with companies around the globe.
Our remote-first culture is built on trust, continuous learning, collaboration, and strong engineering standards. We work with international teams solving complex product and technology challenges where our engineers can have a direct impact on the product.
If you're looking for a place where your technical judgment matters and where you can contribute beyond simply executing tickets, welcome to Darwoft.
We're partnering with an innovative software company building a modern transaction platform for organizations managing complex M&A processes.
The platform brings together document workflows, collaboration, approvals, diligence, transaction management, and AI-powered capabilities within a single SaaS product.
What makes this opportunity particularly different is the way the engineering team builds software.
The product has been developed using an AI-native engineering approach , with tools such as Claude Code, OpenAI Codex, and other AI coding agents deeply integrated into the development workflow.
We're looking for a highly experienced Senior / Staff Software Engineer who can combine strong software engineering fundamentals with this new way of building software.
This is not a traditional AI/ML Engineer role .
You won't be training machine learning models or working primarily on Data Science. Instead, you'll be engineering production software, navigating a large existing codebase, making architectural decisions, improving reliability, and using AI coding agents to dramatically increase development velocity.
The ideal person is a builder first : highly technical, pragmatic, product-oriented, low-ego, and comfortable taking ownership of complex systems.
- Navigate, understand, and evolve a large existing production codebase.
- Design and implement new product capabilities across a complex SaaS platform.
- Make pragmatic architectural and system design decisions as the product continues to scale.
- Identify technical debt, architectural risks, reliability issues, and opportunities for improvement.
- Use Claude Code, Codex, Cursor, Copilot, or similar AI coding agents extensively throughout the software development lifecycle.
- Leverage AI agents to explore codebases, design implementations, generate and refactor code, debug issues, write tests, and accelerate delivery.
- Build and evolve backend services, APIs, integrations, data models, and application workflows.
- Contribute across the application stack when needed.
- Strengthen automated testing, maintainability, observability, reliability, and production readiness.
- Improve development workflows, tooling, automation, and engineering practices.
- Troubleshoot complex issues across application, data, and infrastructure layers.
- Balance development speed with software quality and long-term maintainability.
- Work closely with product leadership to translate business problems into effective technical solutions.
- Help a small engineering team achieve significantly greater development leverage through AI-assisted engineering.
- Strong professional experience building and operating production software systems .
- Excellent software engineering fundamentals, including architecture, system design, debugging, testing, and maintainability .
- Experience working with large or complex existing codebases .
- Strong backend or full-stack engineering experience using modern programming languages and frameworks.
- Experience building modern web applications and SaaS products .
- Strong understanding of APIs, application architecture, integrations, data modeling, and distributed systems .
- Experience with relational databases and production data environments.
- Strong understanding of automated testing and modern software development practices.
- Familiarity with cloud environments, CI/CD pipelines, deployments, and production operations.
- Ability to reason through technical trade-offs and make pragmatic architectural decisions.
- Strong ownership and ability to work independently in an evolving product environment.
- Product mindset: you understand not only how to build something, but also why it should be built.
Hands-on experience using AI development tools is especially important for this position.
We're particularly interested in engineers who actively use tools such as:
- Claude Code
- OpenAI Codex
- Cursor
- GitHub Copilot
- Windsurf
- Other AI coding agents or agentic development tools
More importantly, we're looking for someone who uses AI beyond code completion.
You should be comfortable using AI to:
- Understand unfamiliar codebases.
- Investigate architecture and dependencies.
- Design implementations.
- Generate and refactor production code.
- Debug complex issues.
- Create and improve automated tests.
- Review code and identify potential issues.
- Automate repetitive engineering tasks.
- Accelerate delivery while maintaining engineering quality.
We're looking for someone who sees AI as a core engineering tool , while still bringing the technical judgment required to make strong software and architectural decisions.
- Experience working in early-stage or high-growth product companies .
- Previous experience as a Staff Engineer, Principal Engineer, Tech Lead, Founding Engineer, or similar high-ownership role .
- Experience building AI-powered SaaS products.
- Experience integrating LLMs or AI APIs into production applications.
- Experience with document-heavy or workflow-intensive platforms.
- Experience designing authorization systems, permissions, RBAC, and auditability.
- Experience with LegalTech, FinTech, transaction platforms, Private Equity, or other complex B2B SaaS products.
- Experience improving engineering productivity through developer tooling and automation.
Success in this role goes beyond writing more code.
You’ll help the team ship significantly faster while simultaneously strengthening the architecture, reliability, maintainability, and technical maturity of the platform .
The goal is to combine strong engineering judgment with AI-native development practices to dramatically increase what a small engineering team can build.
- Contractor agreement with payment in USD
- 100% remote work
- Argentina's public holidays
- English classes
- Referral program
- Access to learning platforms
Explore this and other opportunities at:
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