INTL - Python Developer - LATAM

Insight Global
Greenwood Village, United States of America
13 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 73K

Job location

Greenwood Village, United States of America

Tech stack

Artificial Intelligence
Cloud Engineering
Continuous Integration
Graph Database
JSON
Python
OAuth
Queueing Systems
Data Streaming
Large Language Models
Prompt Engineering
Gitlab
FastAPI
Kubernetes
Stream Processing
Network Server
GPT
Web Api

Job description

Insight Global is seeking a Senior Python Engineer to support the design, development, and deployment of modern, AI-enabled backend services for one of our clients. This individual will be responsible for building scalable Python applications, developing real-time data processing services, and contributing to AI-driven systems leveraging vector databases, knowledge graphs, and large language models.

The ideal candidate has strong backend engineering experience, is comfortable working with cloud-native deployments, and has exposure to modern AI/LLM frameworks and agent-based workflows.

Requirements

Creation of vector DB embeddings and knowledge graphs using graph DB (Memgraph)

Senior Python development experience. Ability to develop python programs using FastAPI using Classes Structures

Prompt engineering for LLMs

Knowledge of MCP (Model Context Protocol) Servers and Clients

Agentic work flows (Langgraph), ability to build orchestration between multiple agents

Python development for streaming data processors (message queues, graphQL API calls, JSON transformations)

Experience with OAuth scopes and claims for data federation

CICD automation experience with Gitlab for deployments to Kubernetes Prompt engineering for LLMs

Knowledge of MCP (Model Context Protocol) Servers and Clients

Agentic work flows (Langgraph), ability to build orchestration between multiple agents

Benefits & conditions

Exact compensation for this position may vary based on several factors, including skills, experience, and education, but is expected to be between $30-$35 USD. Benefits may vary based on location of candidate.

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