AI Engineer
6 days ago
Location:
6th of October - onsite |
Experience:
3+ Years |
Type:
Full-Time
Reimagine the Future of AI with
At
, we're revolutionizing enterprise communication through intelligent, conversational AI. Our platform powers smart chatbots, dynamic voicebots, and autonomous AI agents using cutting-edge technologies—Natural Language Processing (NLP), Retrieval Augmented Generation (RAG), and Knowledge Graphs. We turn complex enterprise needs into fluid, intuitive experiences. If you're passionate about pushing the boundaries of what AI can do, this is your invitation to build the future with us.
Why You'll Love Working Here
At Alkhwarizmi, you don't just contribute—you
innovate, scale, and grow
:
- Advance Your Expertise
- Work alongside top engineers and researchers on real-world AI challenges—LLMs, voicebots, agentic workflows, and more.
- Grow with Impact
- Your contributions are seen and rewarded with a
competitive annual bonus
, regular performance reviews, and a fast-paced growth environment. - Stay Secure
- We've got your back with
comprehensive medical and social insurance
.
The Role: AI Engineer
We're looking for a skilled and forward-thinking
AI Engineer
to design, build, and deploy cutting-edge AI systems. You'll play a key role in shaping our GenAI infrastructure, fine-tuning models, and developing smart agentic workflows.
Your Responsibilities
- Build and maintain
RAG pipelines
for enterprise search and automation. - Design and write
effective prompts
for LLMs and multi-modal models. - Fine-tune
large language models (LLMs)
and
speech models (TTS/ASR)
. - Develop
GenAI-powered workflows
and agentic systems. - Prepare, clean, and manage data pipelines for training and inference.
- Deploy and monitor models on
cloud
and
on-prem
environments. - Integrate AI systems with third-party APIs and internal services.
What You'll Bring
- 3+ years
of hands-on experience in AI/ML development. - Strong proficiency in
Python
,
JavaScript
, and
OOP/DATA Structures
. - Experience with
MongoDB
,
Git/GitHub
, and
Docker
. - Proficiency in
NLP
,
LLMs
,
RAG
, and
prompt engineering
. - Familiarity with
TTS
,
ASR
,
voicebot development
, and
agentic workflows
. - Understanding of
model serving
,
CI/CD pipelines
(e.g., GitHub Actions), and
cloud platforms
. - Exposure to
N8N
or similar workflow automation tools is a plus.
Ready to Shape the Next Generation of AI?
Apply now and be part of a mission-driven team that's building smarter conversations—one model at a time.
[Submit Your Application Today]
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