About the role
🚀 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.