AI Engineer
4 days ago
About muSharp
muSharp is a global software development partner helping enterprises transform through innovation. We specialize in complex software engineering, AI-driven solutions, and modern SaaS platforms. Our teams combine deep technical expertise with creativity to deliver intelligent, high-impact digital products.
About the Role
We are looking for a
Junior AI Engineer (Generative AI & NLP)
to join our AI Innovation team. You'll work on developing and integrating cutting-edge
LLM, NLP, and RAG-based solutions
that power chatbots, intelligent assistants, and AI-driven document automation systems.
This role is perfect for someone passionate about
applied AI
, eager to learn from senior engineers, and ready to contribute to
real-world Generative AI projects
.
Key Responsibilities
- Support the design and development of
AI applications
using LLMs and NLP frameworks. - Implement
chatbots, summarization, and text analysis models
using tools like OpenAI, Hugging Face, or LangChain. - Assist in
fine-tuning LLMs
and integrating
vector search
(FAISS, Pinecone, etc.) for RAG systems. - Work with
Python
,
PyTorch/TensorFlow
, and
API integrations
to deploy AI models. - Collaborate with senior AI engineers to optimize model performance and scalability.
- Contribute to documentation, research, and continuous improvement of AI features.
Requirements
- Bachelor's degree in
Computer Science, AI, Data Science
, or a related field. - 1–2 years
of hands-on experience in AI/ML or NLP projects (academic or professional). - Basic understanding of
LLMs, NLP, embeddings, and prompt engineering
. - Experience with
Python
and at least one ML framework (
PyTorch
,
TensorFlow
, or
Transformers
). - Familiarity with
LangChain
,
OpenAI API
, or
Hugging Face
is a plus. - Knowledge of
vector databases (FAISS/Pinecone)
or
RAG workflows
is a bonus. - Strong problem-solving skills, curiosity, and willingness to learn.
Why Join muSharp?
- Work on
real-world Generative AI projects
in a modern, cloud-first environment. - Learn from experienced AI engineers and grow into a
specialist or lead role
. - Opportunity to
experiment, innovate, and build production-ready AI systems
. - Competitive salary, collaborative team culture, and fast career growth.
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