We’re looking for a detail-oriented and experienced AI Engineer to join our team. The role will contribute to solving complex problems, enhancing model performance, and driving innovation across various projects. This opportunity is ideal for someone motivated by the potential of cutting-edge technology and looking to make a meaningful impact.

Location: ON-SITE. Working hours are based on the Paraguay Time Zone.

About the Company:

Abstra is a fast-growing, Nearshore Tech Talent services company, providing top Latin American tech talent to U.S. companies and beyond. Founded by U.S.-bred engineers with over 15 years of experience, Abstra specializes in sourcing skilled professionals across a wide range of technologies to meet our clients’ needs, driving innovation and efficiency.

Key Responsibilities:

• Design and develop robust APIs to expose and integrate AI/ML capabilities.
• Build and deploy AI models (LLMs, NLP, computer vision) in scalable environments.
• Create and maintain data and inference pipelines for training, evaluation, and real-time usage.
• Implement and optimize RAG (retrieval-augmented generation) pipelines.
• Work with vector databases (e.g., FAISS, Pinecone, Weaviate) and manage embeddings for semantic search and recommendation.
• Consume and integrate with external AI APIs (e.g., OpenAI, Hugging Face, Cohere, Anthropic).
• Run AI/ML models locally to improve latency, enable offline capabilities, and optimize performance.
• Collaborate cross-functionally with product, psychometrics, and infrastructure teams.
• Ensure high performance, security, and scalability of all AI-backed systems.

• Experience with GANs, VAEs, and transformer models.
• Familiarity with language models and techniques used in NLP.
• Experience with Git for collaboration and code management.

Tech Stack You Might Work With

• Languages: Python, C# (.NET Core)
• APIs & Frameworks: FastAPI, Flask, ASP.NET Core
• AI/ML Tools: Hugging Face, OpenAI, LangChain, TensorFlow, PyTorch
• Vector Search: FAISS, Pinecone, Weaviate, Chroma
• Cloud & Infrastructure: AWS, Azure, GCP, Docker, Kubernetes
• Databases: PostgreSQL, Redis, MongoDB, vector stores

Required Qualifications:

Must-Have:

• 3+ years of experience in software engineering using Python and/or C#.
• Strong experience building RESTful APIs and working with microservices.
• Experience integrating or deploying AI/ML models into production systems.
• Solid grasp of embeddings, vector search, and retrieval techniques.
• Familiarity with AI/LLM APIs and prompt-based architectures.
• Comfortable working with cloud infrastructure and containerized deployments.

Nice-to-Have:

• Experience with LangChain or other orchestration tools.
• Familiarity with RAG implementations and LLM fine-tuning.
• Exposure to DevOps, CI/CD, or MLOps pipelines.
• Background in data engineering or experience managing structured/unstructured data.

What we offer:

• Opportunities for professional growth and development.
• A collaborative and inclusive work environment.
• The chance to work on impactful projects with a talented team.
• Excellent compensation in USD.