Applied AI Engineer

At Appsilon we empower global organizations to make smarter decisions with data. Our solutions help Fortune 500 companies discover new drugs save lives optimize operations and unlock millions in value. To do this we rely on robust scalable beautifully engineered data systems.

Were looking for an AI Engineer who combines strong engineering fundamentals with hands-on experience building and deploying AI agents and generative AI solutions - someone who can design agentic workflows that deliver real value in production.

• 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.

  Were looking for someone with:

• 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.

• Experience with cloud deployment (AWS Azure GCP) and containerization (Docker / Kubernetes).

• Knowledge of vector databases (Pinecone Weaviate Qdrant pgvector) and embedding pipelines.

• Familiarity with LLMOps and observability tools (LangSmith Langfuse Weights & Biases etc.).

• Background in classical ML (scikit-learn PyTorch TensorFlow) and understanding of the model training lifecycle.

• Experience working with large-scale or scientific datasets (biostatistics genomics pharma).

• Understanding of AI ethics bias and responsible AI principles.

• 100% remote work flexible schedule and a global team culture.

• Competitive B2B compensation with transparent ranges.

• Work on impactful real-world products used by enterprise clients and scientific industries.

• Budget and dedicated time for professional development (courses certs conferences).

• A chance to collaborate with a brilliant group of researchers and industry experts.

• Modern equipment and tools for efficient development.

• Supportive environment with room for innovation experimentation and ownership.

Important note: To complete the hiring process you need to have a valid government-issued ID (for Polish citizens) or a valid passport (for non-Polish citizens).

• General interview with the People Team.

• Technical task (Codility test).

• Technical interview

• Final interview with the Head of Technology

• Offer.

Appsilon is committed to being a diverse and inclusive workplace. We encourage applicants of different backgrounds cultures genders experiences abilities and perspectives to apply. All qualified applicants will receive consideration for employment without regard to race color national origin religion sexual orientation gender gender identity age physical disability or length of time spent unemployed.