Mid-Level Full Stack Engineer
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Descripción del puesto
Role Overview
We are seeking several mid-level Full Stack AI Engineers to join our growing team on a contract basis. You will own features end to end, from data pipelines and backend services through to the user-facing UI, with a strong emphasis on integrating AI and machine learning capabilities into production applications.
What You Will Do
- Design, build, and maintain full stack features spanning backend services, APIs, data pipelines, and frontend UI.
- Integrate AI/ML models (LLMs, embedding models, classification, and other ML systems) into production workflows and user-facing applications.
- Write clean, tested, and maintainable code across the stack, owning your work from architecture through deployment.
- Collaborate daily with product managers, designers, and other engineers in an agile environment.
- Build and optimize data pipelines that feed into AI-driven features and analytics.
- Participate in code reviews, providing and receiving constructive feedback to maintain quality.
- Troubleshoot and debug issues across the full stack, from infrastructure to UI.
- Contribute to technical design discussions and help shape the direction of the product.
Requisitos
What We Are Looking For
- 3-5 years of professional software development experience with a focus on full stack development.
- Strong proficiency in at least one backend language/framework (Python, Node.js, or similar) and one modern frontend framework (React, Angular, or similar).
- Hands-on experience integrating AI/ML models into production applications (API integration, prompt engineering, RAG pipelines, or similar).
- Experience building and working with REST and/or GraphQL APIs.
- Familiarity with cloud platforms (AWS preferred) and containerization (Docker, Kubernetes).
- Solid understanding of database systems (SQL) and data pipeline concepts.
- Expertise in version control (Git) and CI/CD practices.
- Comfortable working in an English-speaking environment with strong written and verbal communication skills.
Nice to Have
- Experience with LLM frameworks and tools (LangChain, LlamaIndex, OpenAI API, Hugging Face, or similar).
- Familiarity with vector databases and embedding systems (Pinecone, Weaviate, pgvector, or similar).
- Background in data science or applied machine learning.
- Experience with infrastructure-as-code (Terraform, CloudFormation).
- Prior experience in a contractor or nearshore engagement model.
- Familiarity with observability and monitoring tools (Datadog, Grafana or similar).
Beneficios
Work Arrangement
- Full-time position.
- Fully remote work environment.
- Collaboration with international clients and teams.
- Occasional business travel may be required based on project needs.
What We Offer
- Opportunity to work on high-impact projects with fast-growing technology companies.
- Exposure to international clients and business environments.
- Professional development and career growth opportunities.
- Flexible and remote-first work culture.
- Collaborative, innovative, and learning-oriented environment.
Location
This is a nearshore contractor position. Team members should be comfortable collaborating across time zones in a fast-moving, highly connected environment.
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