AI Engineer

🚀 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.