Applied AI Engineer

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🕒 May 20

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Appsilon

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

🏥 Healthcare

💼 Consulting

💊 Pharmaceuticals

Healthcare • Consulting • Pharmaceuticals

Appsilon is a technology company that partners with life sciences and pharmaceutical organizations to build open-source, validated data analytics and visualization solutions using R, Python, and Shiny. They provide cloud-native Statistical Computing Environments (SCEs), GxP-compliant infrastructure, Axon. R validation tooling, and SAS-to-open-source migration to accelerate clinical development, regulatory submissions, and enterprise analytics in highly regulated settings. Appsilon delivers B2B services combining software engineering, data science, and AI to produce production-grade clinical apps, dashboards, and automation for pharmaceutical and life sciences companies.

📋 Description

• Build AI Agents with domain context for specialized tasks, including multi-step reasoning, tool use, and autonomous decision-making • Design and implement agentic workflows — orchestrating LLMs, retrieval systems, and external tools into reliable, production-grade pipelines • Integrate agents with client applications, APIs, and enterprise systems • Evaluate, iterate on, and optimize agent performance using structured testing, tracing, and observability • Deploy and maintain generative AI solutions in production environments (APIs, microservices, cloud architecture) • Document your work, follow best practices for LLMOps, and help shape AI development standards at Appsilon • Work closely with Data Engineers, Developers, and Analysts to integrate GenAI solutions into full-scale applications

🎯 Requirements

• Proven experience building and deploying AI agents or agentic systems in production (not just prototypes) • Deep familiarity with LLM orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, Autogen, Claude Agent SDK, or similar) • Strong understanding of prompt engineering, retrieval-augmented generation (RAG), tool use, and function calling patterns • Hands-on experience with LLM APIs (OpenAI, Anthropic, Google, open-source models) and managing their lifecycle in real-world applications • Strong programming skills in Python with experience building robust, maintainable backend services • Ability to evaluate and debug agent behavior - including tracing, logging, and structured evaluation of multi-step workflows • Excellent communication skills and a collaborative approach to teamwork

🏖️ Benefits

• 100% remote work • Flexible schedule • Budget and dedicated time for professional development (courses, certs, conferences) • Modern equipment and tools for efficient development • Supportive environment with room for innovation, experimentation, and ownership • Competitive B2B compensation with transparent ranges • Work on impactful, real-world products used by enterprise clients and scientific industries