5 publicaciones de empleo destacadas en software engineering sr python (¡Están contratando!)

Senior AI Product Engineer
TechBiz Global GmbH —Buenos Aires, Buenos Aires
- Tiempo completo
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4d
Sr Data Engineer
Capgemini Sogeti —Buenos Aires, Buenos Aires
1d
Sr Data Engineer
Capgemini —Buenos Aires, Buenos Aires
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Senior QA Engineer – LATAM
Distillery —Benito Juárez, Buenos Aires
3d
Data Platform Architect - EY GDS
EY —Capital Federal, Buenos Aires
9h

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Senior AI Product Engineer

TechBiz Global GmbH
Buenos Aires, Buenos Aires

Postulación rápida

Detalles del empleo

Tiempo completo
Hace 4 días

Descripción completa del empleo

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio.

We are currently looking for a dedicated Senior AI Product Engineer to join one of our clients' teams. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you.

Key Responsibilities

AI Feature Delivery & Integration

Lead the end-to-end development of AI-powered features, from initial prototyping to production deployment.
Integrate LLMs and ML models into existing web/mobile applications and backend APIs.
Design "AI-first" user journeys, ensuring features like autocomplete, summarization, and intelligent search are intuitive and high-performing.

2. Prompt Engineering & Agentic Workflows

Craft, test, and optimize complex system prompts to ensure high-quality, safe, and consistent model outputs.
Build and manage Agentic workflows (using frameworks like LangChain, CrewAI, or AutoGen) to automate multi-step business processes.
Implement robust error-handling and "fallback" logic for non-deterministic AI responses to maintain a seamless UX.

3. Squad Collaboration (The "Product" Side)

Act as the AI subject matter expert within your Product Squad, helping PMs understand what is technically feasible vs. what is "AI hype."
Work closely with UX/UI designers to handle AI-specific design challenges (e.g., streaming text latency, "thinking" states, and user feedback loops).
Participate in agile ceremonies, contributing to grooming, planning, and rapid iteration.

4. Hybrid Implementation

Develop applications that can switch seamlessly between Cloud APIs (for speed/innovation) and On-Premises models (for data privacy and cost-efficiency).
Ensure that AI features are performant across different hosting environments without sacrificing user experience.

8+ years in Full-Stack or Backend Software Engineering.
3+ years of experience specifically building and shipping AI-integrated features.
Proven ability to work in an Agile/Scrum environment within a "Squad" structure.
Mastery of Python and/or TypeScript/JavaScript (React/Node.js).
Hands-on experience with LangChain, LlamaIndex, or Haystack.
Expertise in RESTful APIs, GraphQL, and working with Vector DBs (Pinecone, Weaviate).
Familiarity with Docker, Kubernetes, and deploying to AWS/Azure or local GPU environments.

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