Project description

Provide software engineering in support of development to production of AI business cases. This role involves development and analytics of scalable solutions taking proof of concept to production. This position required someone who is a self-starter, self-sufficient with an open mindset and eager to learn.

Responsibilities

Data Ingestion & Processing Architecture

Multiple high‑velocity data sources, including:

Event Hub from Postgres

Data pushed to Snowflake

Additional events across various internal systems

Heavy use of:

Kubernetes for scalable processing

Databricks / Spark for distributed compute

Snowflake for storage and downstream analytics

Skills

Must have

Backend Engineering:

Python (primary)

FastAPI (service/API development)

Full‑stack engineering without UI (backend + data + infra only)

Cloud & Containerization:

Azure (core cloud environment)

Docker

Kubernetes / AKS

Experience running high‑scale workloads in K8s

Data Engineering & Distributed Computing:

Spark / Databricks

Experience handling:

Very large datasets

Complex pipelines

High message volume

Mixed batch + streaming data flows

Designing & maintaining table schemas

Working with Snowflake

Database & Data Handling:

Strong SQL + data manipulation skills

Experience integrating multiple data sources

Comfort navigating event‑streaming ecosystems

Nice to have

Hands‑On LLM Integration:

Experience integrating LLMs into applications

Prompt design / optimization

RAG pipelines

Vector databases & embedding models

Model orchestration patterns

Security & compliance for AI systems

Model Monitoring & Optimization:

Prompt evaluation frameworks

Managing cost/performance tradeoffs

(Nice-to-have) MLOps practices supporting AI workloads

Other

Languages

English: C2 Proficient

Seniority

Senior

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Req. VR-121585

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Backend Fullstack Developer

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