AI Data Infrastructure & Vector Database Engineer

Senior AI Data Infrastructure & Vector Database Engineer

Location: LATAM (Remote)

🚀 About Variacode

At Variacode, we connect top-tier tech talent with cutting-edge global projects. We are currently looking for an ambitious, challenge-seeking Senior DevSecOps & Application Security Engineer to join a high-performing team building secure, automated cloud-native pipelines and resilient software architectures.

Our client’s technology is used in 80+ countries by Fortune 500 companies (like Home Depot), allowing millions of users to preview products in their own spaces in real-time. If you want to make a massive impact and work on high-traffic, scalable systems, this is your place!

🎯 The Role

Move beyond standard API wrappers and help us tackle complex data challenges in modern AI. As a Senior AI Data Infrastructure & Vector Database Engineer, you will own low-latency streaming pipelines and optimize specialized vector search engines, powering real-time enterprise retrieval at scale.

⚙️ What you will do (Responsibilities):

• Design and scale high-throughput data ingestion pipelines bridging corporate data platforms with specialized vector search engines.
• Fine-tune high-dimensional vector search indexing structures (HNSW, IVFFlat) to achieve top-tier query accuracy and sub-second execution.
• Integrate specialized vector stores (Pinecone, Qdrant, Milvus, ChromaDB, PGvector) directly into production RAG frameworks and streaming workflows.
• Build high-performance streaming pipelines using Apache Kafka, Spark Streaming, and optimized Python or C++ modules.
• Establish robust embedding versioning, index maintenance, and vector data governance to maintain peak performance.
• Collaborate cross-functionally with AI Engineers, Data Scientists, and Infrastructure leads to minimize latency under heavy concurrent loads.

🔍 What we are looking for:Must-haves (Required):

• Experience: 6 to 8+ years of professional software, data infrastructure, or AI systems engineering experience.
• Technical Stack & Tools: Pinecone, Qdrant, Milvus, PGvector, Apache Kafka, Spark Streaming, Python, C++, HNSW/IVFFlat indexing, and production RAG pipelines.
• Key Skills: Mastery of vector indexing, distributed data pipeline design, low-latency query tuning, and memory optimization.
• Language: Fluent English proficiency with excellent technical and conversational communication skills.

Nice-to-haves (Pluses):

• Exposure to hybrid search methodologies (combining sparse BM25 with dense vector retrieval) and re-ranking models.
• Hands-on experience with GPU acceleration (CUDA) or custom C++ routines for vector distance calculations.
• Familiarity with cloud-native container orchestration (Kubernetes, Docker) and Infrastructure as Code (Terraform).

🎁 What we offer:

• Opportunity to work with cutting-edge tech stacks and Fortune 500 clients.
• A highly collaborative, innovation-driven, and remote-first global culture.
• Continuous professional growth and career development pathways.
• Highly competitive USD-denominated compensation package tailored for senior security talent.
• 100% remote flexibility from anywhere in LATAM with aligned US business hours.

📋 What to Expect (Our Hiring Process):

We value your time and believe in a transparent, fast-moving recruitment journey. Here is what our process looks like:

1. Application & AI Screening: Submit your application. Our smart screening tools match your profile against core job requirements.
2. Recruiter Video Call (30 mins): A 1-on-1 video call with a Talent Acquisition Specialist to discuss your background, career goals, and cultural alignment.
3. Variacode Internal Technical Assessment & System Design Interview: A practical technical evaluation followed by an architecture deep-dive conducted by Variacode’s internal Technical Lead team, focusing on System Design.

• 💡 Pro-tip for candidates: Be prepared to draw and explain architectural diagrams live during the interview, we recommend practicing beforehand with tools like draw.io or Lucidchart.

1. Client / Partner Interview: Meet directly with the client’s engineering or leadership team to align on technical expectations, real-world project challenges, and team synergy.

• 📌 Note: Depending on the client’s internal process, they may request an additional client-specific technical assessment or coding exercise during this stage.

1. **Offer & Onbo…