AI Engineer

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

AI Developer (Agentic Systems)

Phoeniqs Technologies | Build the Future of Autonomous Intelligence

At Phoeniqs Technologies, we’re not just integrating AI into systems — we’re engineering intelligence that can think, plan, collaborate, and act.

We’re looking for a forward-thinking AI Developer to help us design and scale the next generation of goal-driven, autonomous AI agents capable of multi‑step reasoning, tool usage, and continuous self‑improvement. If you’re passionate about agent architectures, prompt engineering, and modular AI orchestration — and want to ship real-world AI systems that actually do things — this is your role.

What You’ll Be Building

You’ll work at the frontier of applied AI, developing production-grade agentic systems that can:

• Make decisions
• Plan and execute complex tasks
• Collaborate with other agents
• Learn from memory
• Interact with tools, APIs, and real-world environments

From research agents to coding copilots and planning assistants — your work will power intelligent systems that move from response-based AI → action-based autonomy.

Your Impact

• 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 including:
  • Planner–Executor loops
  • ReAct
  • Reflection & Self‑Verification
• Engineer sophisticated prompting strategies:
  • Chain-of-Thought
  • Tree-of-Thought
  • Structured outputs
  • Prompt versioning
• Build persistent memory systems (short-term, long-term, episodic)
• Integrate LLMs (OpenAI, Anthropic, Cohere, Mistral, DeepSeek, OSS models) with execution environments:
  • Python
  • Bash
  • SQL
  • REST APIs
  • Browser automation
• Design and optimize RAG pipelines with vector databases and hybrid search
• Implement API orchestration, tool calling, and code execution agents
• Deploy scalable AI systems using Docker, CI/CD, and cloud platforms
• Monitor agent behavior, execution traces, and reasoning paths
• Implement human-in-the-loop workflows to ensure safe autonomy
• Collaborate with Product, Engineering, Data Science, and UX teams to deliver high-impact AI solutions

What You Bring

• 3+ years in Software Engineering or Applied AI
• Strong Python skills
• Hands-on experience with agent frameworks such as: LangChain, DSPy, AutoGen, CrewAI (or equivalent)
• Deep understanding of agent design patterns:, Planner/Executor, Memory & Reflection loops, Tool selection, Self-evaluation
• Expertise in prompt engineering, including: Chain‑of‑Thought, ReAct, Structured prompting, Output validation
• Experience building RAG systems: Chunking strategies Embedding optimization Retrieval tuning
• Experience with vector DBs: FAISS, Pinecon ,Weaviate, OpenSearch
• LLM deployment via APIs or open-source models (e.g. LLaMA, Mistral, Qwen, DeepSeek)
• Familiarity with inference frameworks: vLLM, TGI, Ollama
• Tool integration experience: REST APIs, Databases, File systems, Browser automation
• Working knowledge of: Docker, Git, AWS / GCP / Azure

Bonus Points

• Built AI copilots, taskbots, or autonomous agents in production
• Experience with observability & safety tooling:
  • Guardrails AI
  • Rebuff
  • HoneyHive
• Model routing & dynamic model selection
• Context window optimisation
• Fine-tuning techniques (LoRA, QLoRA)
• Contributions to open-source agent or LLM tooling
• Familiarity with:
  • Prompt injection mitigation
  • Alignment strategies
  • AI safety best practices

Why Phoeniqs?

At Phoeniqs Technologies, you’ll work on cutting-edge AI systems that move beyond chat into execution and autonomy. We believe the future of software is agent-driven, and we’re building the orchestration layer that makes it real.

If you’re excited by the idea of AI systems that don’t just assist — but act — we’d love to meet you.