The Opportunity
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 idóneo 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.
Responsibilities
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.
Requirements
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 environmenent and define a credible roadmap.Has designed and owned CI/CD — build, test, release, environments — not just used someone else's pipeline.Applied AIHas built and shipped LLM and agent systems beyond a demo.Deep fluency with agentic tooling: Claude Code, agent frameworks, MCP, tool/function calling, multi‐agent orchestration.Context and spec engineering: structures codebases, specifications, process definitions, and context to produce reliable, context‐efficient AI output.Integration literacy: understands integration methods and options — APIs, webhooks, event streams, iPaaS (n8n, MuleSoft, etc.), MCP — and the constraints and strategies behind connecting AI to systems of record.
Doesn't need to own every integration, but can design around them and guide the team that does.Consulting & BusinessDemonstrates the discovery behaviors above: business and personal drivers, constraints, stakeholder alignment, strategic questioning.Runs client conversations without an account manager in the room: workshops, proposal walkthroughs, hard questions,



pushback.Transforms technical decisions into business outcomes — cycle time, cost per transaction, throughput, risk reduction, ROI.Exceptional written and verbal communication; credible in front of senior stakeholders.Strong PlusProduction AI operations (Day 2): eval harnesses, observability and tracing, cost and token economics, drift, debugging non‐deterministic systems.Prompt‐ and eval‐level regression testing running in CI and gating releases.Delivery in regulated environments (financial services, healthcare, insurance, manufacturing).
Pre‐sales support: discovery calls, SOW and estimate shaping, technical proposal defense.Process mining, operations analysis, or transformation consulting background.Client enablement and training — building the client team's capability, not just the system.Prior consulting or agency environment; comfort with ambiguity and multiple accounts.Work Authorization RequirementsApplicants must be currently authorized to work in the country of this job posting on a full-time basis.FullStack will not sponsor applicants for work visas now or in the future.What We OfferCompetitive pay.100% remote work.The ability to work with leading startups and Fortune 500 companies.Continuing education opportunities.Opportunity to grow and expand your career.Our talent network is committed to fostering a diverse, inclusive, and accessible environment where IT professionals can find opportunities that match their skills.
We welcome individuals of all races, religions, genders, sexual orientations, national origins, abilities, and experiences.
Our focus is on connecting talent with projects based on qualifications, ensuring a fair and transparent process that values diverse perspectives and global collaboration.Learn more about our Applicants Privacy Notice.
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📌 Senior Ai Backend Engineer (Santa Fe)
🏢 FullStack
📍 Santa Fe