Applied AI Engineer

Job not on LinkedIn

🕒 May 20

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Appsilon

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

💊 Pharmaceuticals

🤝 B2B

Pharmaceuticals • B2B

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