Full Stack Python Developer
Futran Tech Solutions Pvt. Ltd.
Full Stack Python Developer Alpharetta GA (2-3 Days per week onsite)
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
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
Vacancy posted 5 days ago
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