Senior Python & Agentic AI Engineer - GP, Remote: Colombia - Costa Rica, Fulltime.

Gorilla Logic is looking for a Senior Python and Agentic AI Engineer, who will work with a team of developers, AI engineers, and product stakeholders building production-grade artificial intelligence features for a cybersecurity and GRC assessment platform.

This role will be responsible for developing Python-based AI services that generate customer-specific recommendations, tasks, and findings. These capabilities will be exposed through APIs and consumed by a .NET application. Our environment will require you to combine advanced Python engineering with production LLM development, agentic workflows, retrieval-augmented generation, evaluation, security, and responsible handling of sensitive data.

Responsibilities

• Design and build AI-agent features that generate tailored customer recommendations, tasks, and findings

• Develop production Python services using modern asynchronous Python

• Build secure APIs using FastAPI or a comparable asynchronous Python web framework

• Develop agent workflows using Pydantic AI, LangGraph, or similar frameworks

• Implement tool-calling, structured outputs, and multi-step agent workflows

• Integrate large language model APIs from providers such as Anthropic and OpenAI

• Design, test, and maintain prompts for production AI applications

• Build retrieval-augmented generation pipelines using embeddings, chunking, and vector search

• Design data-ingestion, indexing, retrieval, and context-building workflows

• Develop safeguards to improve AI output accuracy, consistency, and safety

• Evaluate hallucination, accuracy, grounding, and other output-quality risks

• Handle confidential customer information and personally identifiable information responsibly

• Build persistence layers using SQL and an ORM such as SQLAlchemy

• Write unit and integration tests using pytest

• Develop services that can be securely consumed by the .NET application and other internal systems

• Participate in pull-request reviews and continuous integration workflows

• Monitor and optimize AI-service cost, latency, reliability, and performance

• Work closely with internal AI, platform, product, and application engineering teams

• Develop and test services within a Docker-based environment

• Communicate AI behavior, limitations, risks, and technical trade-offs clearly

Technical Requirements

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field, or equivalent professional experience

• 5+ years of professional Python development experience

• Strong experience with modern asynchronous Python

• Experience building APIs with FastAPI or a comparable asynchronous Python framework

• Proven experience building and operating production LLM-powered applications

• Experience with agent frameworks such as Pydantic AI, LangGraph, or similar technologies

• Experience implementing tool-calling and structured model outputs

• Strong prompt-engineering experience

• Experience integrating Anthropic, OpenAI, or comparable LLM APIs

• Experience building retrieval-augmented generation solutions

• Strong understanding of embeddings, chunking, retrieval, and vector search

• Experience evaluating AI outputs for accuracy, hallucination, and safety

• Experience implementing AI guardrails and validation mechanisms

• Strong understanding of secure and responsible handling of sensitive data and PII

• Experience with SQL and an ORM such as SQLAlchemy

• Experience writing automated tests using pytest

• Experience with Git pull-request workflows and continuous integration

• Experience with Docker and GitHub Actions or comparable CI technologies

• Strong written communication and asynchronous collaboration skills

• Ability to maintain reasonable daily working-hours overlap with a US-based technical lead

• Ability to independently design and deliver complex AI capabilities

• Comfortable using AI-assisted development tools

• Must have the ability to work in a dynamic and highly collaborative environment

• Strong analytical thinking and problem-solving skills

Bonus Skills

• Experience with LLM gateways or proxy tools such as LiteLLM

• Experience with PII detection or anonymization tools such as Microsoft Presidio

• Experience with PostgreSQL and pgvector

• Experience with asynchronous SQLAlchemy

• Experience with Alembic

• Experience with LLM observability, tracing, and evaluation frameworks

• Experience optimizing AI systems for cost, latency, and throughput

• Experience designing APIs consumed by multiple applications

• Experience with conversational user-interface tools such as Chainlit

• Experience in cybersecurity, GRC, fintech, or financial services