AI Engineer

ph3AI Developer (Agentic Systems) /h3 pbPhoeniqs Technologies | Build the Future of Autonomous Intelligence /b /p pAt bPhoeniqs Technologies /b , we’re not just integrating AI into systems — we’re engineering intelligence that can think, plan, collaborate, and act. /p pWe’re looking for a bforward-thinking AI Developer /b to help us design and scale the next generation of bgoal-driven, autonomous AI agents /b 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. /p h3What You’ll Be Building /h3 pYou’ll work at the frontier of applied AI, developing production-grade agentic systems that can: /p ul liMake decisions /li liPlan and execute complex tasks /li liCollaborate with other agents /li liLearn from memory /li liInteract with tools, APIs, and real-world environments /li /ul pFrom research agents to coding copilots and planning assistants — your work will power intelligent systems that move from bresponse-based AI → action-based autonomy /b. /p h3Your Impact /h3 ul liArchitect and develop bagentic AI systems /b using frameworks like bLangChain, AutoGen, DSPy, CrewAI /b or custom orchestration layers /li liDesign bmodular, goal-oriented workflows /b for autonomous

task planning and inter-agent collaboration /li liImplement advanced agent patterns including: ul liPlanner–Executor loops /li liReAct /li liReflection Self‑Verification /li /ul /li liEngineer sophisticated prompting strategies: ul liChain-of-Thought /li liTree-of-Thought /li liStructured outputs /li liPrompt versioning /li /ul /li liBuild persistent bmemory systems /b (short-term, long-term, episodic) /li liIntegrate LLMs (OpenAI, Anthropic, Cohere, Mistral, DeepSeek, OSS models) with execution environments: ul liPython /li liBash /li liSQL /li liREST APIs /li liBrowser automation /li /ul /li liDesign and optimize bRAG pipelines /b with vector databases and hybrid search /li liImplement API orchestration, tool calling, and code execution agents /li liDeploy scalable AI systems using bDocker, CI/CD, and cloud platforms /b /li liMonitor agent behavior, execution traces, and reasoning

paths /li liImplement bhuman-in-the-loop workflows /b to ensure safe autonomy /li liCollaborate with Product, Engineering, Data Science, and UX teams to deliver high-impact AI solutions /li /ul h3What You Bring /h3 ul li3+ years in Software Engineering or Applied AI /li liStrong Python skills /li liHands-on experience with agent frameworks such as: LangChain, DSPy, AutoGen, CrewAI (or equivalent) /li liDeep understanding of agent design patterns:, Planner/Executor, Memory Reflection loops, Tool selection, Self-evaluation /li liExpertise in prompt engineering, including: Chain‑of‑Thought, ReAct, Structured prompting, Output validation /li liExperience building bRAG systems /b : Chunking strategies Embedding optimization Retrieval tuning /li liExperience with vector DBs: FAISS, Pinecon ,Weaviate, OpenSearch /li liLLM deployment via APIs or open-source models (e.g.

LLaMA, Mistral, Qwen, DeepSeek) /li liFamiliarity with inference frameworks: vLLM, TGI, Ollama /li liTool integration experience: REST APIs, Databases, File systems, Browser automation /li liWorking knowledge of: Docker, Git, AWS / GCP / Azure /li /ul h3Bonus Points /h3 ul liBuilt AI copilots, taskbots, or autonomous agents in production /li liExperience with observability safety tooling: ul liGuardrails AI /li liRebuff /li liHoneyHive /li /ul /li liModel routing dynamic model selection /li liContext window optimisation /liliFine-tuning techniques (LoRA, QLoRA) /li liContributions to open-source agent or LLM tooling /li liFamiliarity with: ul liPrompt injection mitigation /li liAlignment strategies /li liAI safety best practices /li /ul /li /ul h3Why Phoeniqs? /h3 pAt 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 bagent-driven /b , and we’re building the orchestration layer that makes it real. /p pIf you’re excited by the idea of AI systems that don’t just assist — but act — we’d love to meet you. /p /p