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.