AI Engineer

• AI Developer (Agentic Systems)
• Phoeniqs Technologies | Build the Future of Autonomous Intelligence
• 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
• Lang Chain, Auto Gen, DSPy, Crew AI 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
• Re Act
• 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 (Open AI, Anthropic, Cohere, Mistral, Deep Seek, 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: Lang Chain, DSPy, Auto Gen, Crew AI (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, Re Act, Structured prompting, Output validation
• Experience building
• RAG systems
• : Chunking strategies Embedding optimization Retrieval tuning
• Experience with vector DBs: FAISS, Pinecon , Weaviate, Open Search
• LLM deployment via APIs or open-source models (e. g. LLa MA, Mistral, Qwen, Deep Seek)
• Familiarity with inference frameworks: v LLM, 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
• Honey Hive
• Model routing & dynamic model selection
• Context window optimisation
• Fine-tuning techniques (Lo RA, QLo RA)
• 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.

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