Senior Python, Agentic AI Engineer

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Gorilla Logic

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Gorilla Logic is a company renowned for its expertise in modern software and data engineering. Serving as a strategic partner rather than just a vendor, Gorilla Logic specializes in digital product design, cloud engineering, data and AI delivery, DevOps, quality assurance, and legacy modernization. With a team of skilled digital product designers, solutions architects, and Agile nearshore teams, Gorilla Logic has been instrumental in developing business-critical software applications for Fortune 500 and SMB companies for over 20 years. Their services include creating SaaS platforms, enhancing digital experiences, and providing flexible, security-focused solutions. Gorilla Logic operates with teams located in Costa Rica, Colombia, Mexico, and the United States, emphasizing collaborative partnerships to deliver cutting-edge digital engineering solutions.

📋 Description

• 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

🎯 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

🏖️ Benefits

• Professional development opportunities