Senior Software Engineer — Python & AI Applications

Tesoro AI; Medellín; Presencial; COP 372.694.000 - 559.041.000; Jornada completa

Descripción de la vacante

Tesoro AI is seeking a hands-on Senior Software Engineer to join a U.S. healthcare tech company, focused on AI-enabled applications and real-time workflows.

You will build and maintain production-grade backend services, APIs, and integrations and own software quality in production. Strong candidates have deep Python experience, ownership of deployed software, and familiarity with APIs, cloud systems, and real-time constraints.

Formación

• Experience building and maintaining production-grade applications or backend systems.
• Proficient in Python with experience in services, APIs, integrations, and data-processing workflows.
• Demonstrated ownership of software deployed to production.
• Experience working within existing codebases, not just prototypes.
• Strong grasp of automated testing, debugging, monitoring, regression prevention, and reliability.
• Ability to reason about architecture, service boundaries, performance bottlenecks, and scalability.
• Experience with APIs, cloud applications, or distributed systems.
• Ability to investigate problems before proposing solutions and verify outcomes after release.
• Professional English communication skills; able to explain decisions, incidents, and tradeoffs.
• Interest in remaining hands-on as an individual contributor.

Responsabilidades

• Build, improve, and maintain production applications, backend services, APIs, and integrations.
• Contribute to AI-enabled functionality used in real workflows.
• Improve performance, reliability, scalability, and response times.
• Investigate and resolve production issues across boundaries.
• Develop automated tests and strengthen regression prevention, monitoring, and release verification.
• Identify failure modes and implement safeguards and human-review for AI features.
• Collaborate with product, operations, and technical stakeholders to translate problems into solutions.
• Contribute to real-time and low-latency workflows, including voice-related applications.
• Own technical work from problem clarification to deployment and production validation.
• Use AI-assisted development tools responsibly while ensuring code quality.

Conocimientos

Production systems

Python

Code ownership

Working with codebases

Automated testing

Observability

System architecture

English proficiency

Hands-on contributor

AI-enabled apps

Herramientas

Twilio

Whisper

Rasa

Amazon Polly

Amazon Lex

Vapi

Descripción del empleo

About the Role

Tesoro AI is recruiting a hands-on Senior Software Engineer to join a U.S. healthcare technology company building AI-enabled applications and operational workflows.

We are looking for an application-oriented engineer who can contribute directly to an existing production codebase, build backend services and integrations, solve complex production problems, and take ownership of software quality after deployment.

Direct experience with Voice AI, healthcare, or Salesforce is valuable, but it is not required. Strong candidates may come from other AI-enabled, real-time, distributed, enterprise, or regulated environments.

What You Will Do

• Build, improve, and maintain production applications, backend services, APIs, and integrations.
• Contribute to AI-enabled functionality used in real operational workflows.
• Improve application performance, reliability, scalability, and response times.
• Investigate and resolve production issues across application, data, integration, and infrastructure boundaries.
• Develop automated tests and strengthen regression prevention, monitoring, observability, and release verification.
• Identify potential failure modes and implement safeguards, fallbacks, or human-review mechanisms for AI-enabled features.
• Work with product, operations, and technical stakeholders to clarify problems and translate them into practical solutions.
• Contribute to real-time and low-latency workflows, including voice-related applications.
• Own technical work from problem clarification through implementation, deployment, and production validation.
• Use modern AI-assisted development tools responsibly while verifying the quality and reliability of generated code.

What We Are Looking For

• Strong hands-on experience building and maintaining production applications or backend systems.
• Meaningful production experience with Python, including services, APIs, integrations, application logic, debugging, or data-processing workflows.
• Demonstrated ownership of software that has been deployed and used in production.
• Experience working inside existing codebases, not only creating isolated prototypes or proofs of concept.
• Strong understanding of automated testing, debugging, monitoring, regression prevention, and production reliability.
• Ability to reason about application architecture, service boundaries, performance bottlenecks, concurrency, scalability, and failure modes.
• Experience with APIs, integrations, cloud-based applications, or distributed systems.
• Ability to investigate a problem before proposing a solution and verify whether the outcome worked after release.
• Professional English communication skills, including the ability to explain technical decisions, incidents, and tradeoffs.
• Interest in remaining hands-on as an individual contributor.

Preferred Qualifications

• Experience building, deploying, or maintaining AI-enabled applications used by real users.
• Experience taking an AI feature from prototype to production.
• Familiarity with LLM applications, agents, RAG, evaluation frameworks, guardrails, fallbacks, or human-in-the-loop workflows.
• Experience evaluating incorrect, inconsistent, unsafe, or low-confidence AI outputs.
• Experience with real-time, streaming, low-latency, conversational AI, telephony, ASR, or TTS systems.
• Familiarity with technologies such as Twilio, Vapi, Whisper, Amazon Polly, Rasa, Amazon Lex, or similar tools.
• Experience in healthcare, fintech, banking, insurance, government, or another regulated environment.
• Experience handling sensitive data, privacy requirements, controlled deployments, or audit-sensitive systems.
• Experience with AWS and modern CI/CD practices.
• Familiarity with Salesforce, Salesforce Health Cloud, enterprise platforms, or complex enterprise integrations.

What Strong Performance Looks Like

A strong engineer in this role does more than complete assigned tickets. They can understand the underlying problem, identify what they personally need to own, make sound technical decisions, ship reliable software, and verify that the result works for users in production.

They also understand that AI-enabled applications require more than a successful demo: they require evaluation, monitoring, testing, safeguards, and clear responses when the system behaves unexpectedly.

Selection Process

The selection process will evaluate:

• Production application ownership
• Python and modern backend development
• AI application maturity
• Testing and production-quality judgment
• Systems design and performance reasoning
• Problem-solving and product orientation
• Technical communication in English
• Ability to contribute as a hands-on engineer