Autonomous AI Engineer - Build Goal-Driven Agents

PHOENIQS; Basel; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

Phoeniqs Technologies is seeking a forward-thinking AI Developer to design and scale autonomous, goal-driven AI agents capable of multi-step reasoning and tool usage. You will work on agent architectures, prompt engineering, and modular orchestration to ship real-world AI systems.

Ideal candidates have 3+ years in software or applied AI, strong Python, and hands-on experience with agent frameworks such as LangChain, DSPy, AutoGen, and CrewAI.

Qualifikationen

• 3+ years in Software Engineering or Applied AI.
• Strong Python skills and hands-on experience with agent frameworks (LangChain, DSPy, AutoGen, CrewAI).
• Deep understanding of agent design patterns: Planner/Executor, Memory & Reflection loops, Tool selection, Self-evaluation.
• Expertise in prompt engineering: Chain-of-Thought, ReAct, structured prompting, output validation.
• Experience building RAG systems and vector DBs; familiarity with inference frameworks.

Aufgaben

• Architect and develop agentic AI systems using frameworks like LangChain, AutoGen, DSPy, CrewAI or custom orchestration layers.
• Design modular, goal-oriented workflows for autonomous task planning and inter-agent collaboration.
• Implement advanced agent patterns: Planner–Executor loops, ReAct, Reflection & Self‑Verification.
• Engineer prompting strategies: Chain-of-Thought, Tree-of-Thought, structured outputs, prompt versioning.
• Build persistent memory systems (short-term, long-term, episodic) and deploy scalable AI systems with Docker, CI/CD and cloud platforms.

Kenntnisse

Python

LangChain

DSPy

AutoGen

CrewAI

Prompt engineering

RAG systems

Vector databases

Docker

Cloud platforms

Tools

REST APIs

Databases

Browser automation

vLLM

TGI

Ollama

FAISS

Pinecone

Weaviate

OpenSearch

Jobbeschreibung

Phoeniqs Technologies is seeking a forward-thinking AI Developer to design and scale autonomous, goal-driven AI agents capable of multi-step reasoning and tool usage. You will work on agent architectures, prompt engineering, and modular orchestration to ship real-world AI systems.

Ideal candidates have 3+ years in software or applied AI, strong Python, and hands-on experience with agent frameworks such as LangChain, DSPy, AutoGen, and CrewAI.