Tech Holding
AI
SeniorPythonEngineer(Contract)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Python Engineer (Contract) at Tech Holding. Skills: Python, Backend Systems, Knowledge Graphs, Cloud Infrastructure. Design and build scalable Python services and APIs. Define and evolve backend architecture”
What You'll Achieve.
Deliver predictable outcomes; High-quality solutions; Deliver reliable, secure, and scalable backend capabilities; Help define backend architecture; Help define engineering standards; Help define operational best practices; Contribute to long-term platform strategy; Shape systems that support retrieval-based and agent-driven workflows
Industry & Context.
Ability to decompose problems
Authorized to work in and located in Mexico
What They're Looking For.
Must Have
Extensive production experience building backend systems in Python, Hands-on experience with knowledge graphs and graph data stores, SQL experience, Familiarity with ORMs, Experience designing APIs and distributed systems with reliability and performance in mind, Solid understanding of cloud infrastructure (AWS/GCP/Azure), Containers, IaC, Experience with monitoring/observability stacks, Ability to decompose problems, Communicate tradeoffs, Drive projects end-to-end
Nice to Have
TypeScript knowledge, Ease collaborating across TypeScript or Go services, Experience with agentic workflows, RAG systems, Agent orchestration, Tool/function calling in production, Familiarity with event-driven architectures, Queues/streams (Kafka/SQS/PubSub), Background with security and compliance basics (OWASP, SOC2 practices), Exposure to data/analytics workflows, ML-adjacent services
What You'll Do.
Design and build scalable Python services and APIs
Define and evolve backend architecture
Own database schema design
Design and operate knowledge-graph powered services
Implement observability
Mentor engineers on backend best practices
How You'll Work.
Team & Collaboration
Work closely with product, frontend, and data teams; Collaborate closely with frontend, data, and product to define contracts and deliverables; Ease collaborating across TypeScript or Go services
Communication Scope
Communicate tradeoffs
Process & Methodology
Drive projects end-to-end
Full Job Description
About us: Working at Tech Holding isn't just a job, it's an opportunity to be a part of something bigger. We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients. Our founders and team members have industry experience and have held senior positions in a wide variety of companies – from emerging startups to large Fortune 50 firms – and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability. The Role We are seeking a Senior Backend Engineer (Python Platform) to own and evolve the backend foundation of AI-driven healthcare and contact center platforms. This is a hands-on engineering role focused on designing and building scalable APIs, backend services, and data systems that power production-grade AI-enabled applications. You will work closely with product, frontend, and data teams to deliver reliable, secure, and scalable backend capabilities while helping define backend architecture, engineering standards, and operational best practices. This role goes beyond feature delivery you will contribute to long-term platform strategy, mentor engineers, and help shape systems that support retrieval-based and agent-driven workflows. The ideal candidate is experienced in distributed backend systems, graph-based data platforms, cloud-native infrastructure, and production observability, with strong ownership and architectural decision-making capabilities. Key Responsibilities Design and build scalable Python services and APIs (REST/GraphQL) for our core product. Define and evolve a resilient backend architecture that can grow with the product. Own database schema design, data modeling, and performance tuning (SQL and ORMs). Design and operate knowledge-graph powered services, including graph data modeling and query performance. Implement observability (logging, metrics, tracing)
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