
AI Engineer
1 week ago
About Us
We are a leading IT consulting and services provider specializing in
automotive and digital engineering solutions
. Our team partners with world-class multinationals to deliver
innovative software and AI expertise
—empowering the future of mobility and intelligent systems.
Role Overview
We are looking for a motivated
AI Engineer (1–2 years' experience)
to join our team. The role focuses on
integrating existing AI/ML tools such as LLMs, Retrieval-Augmented Generation (RAG), and related frameworks
into enterprise tools like
SystemWeaver
and similar platforms.
This is an excellent opportunity for a hands-on engineer who enjoys
building AI-enabled use cases
, automating workflows, and experimenting with the latest advancements in
applied AI
.
Key Responsibilities
- Work on
large language models (LLMs)
,
retrieval-augmented generation (RAG)
, and
agentic AI
systems for enterprise use cases. - Development of end-to-end AI solutions: data preparation, feature engineering, model training, evaluation, deployment, and monitoring.
- Develop and test
APIs, connectors, and scripts
to enable AI-driven use cases. - Prototype and implement
AI-powered assistants
for requirement analysis, test case generation, and documentation. - Optimize models for scalability, efficiency, and robustness in production environments.
- Collaborate with cross-functional teams to ensure
seamless integration and scalability
. - Document solutions, workflows, and best practices.
- Stay updated with the latest developments in
LLMs, vector databases, and AI agent frameworks
.
Required Qualifications
- Bachelor's degree in
Computer Science, Software Engineering, Data Science, or related field
. - 1–2 years of experience
in AI/ML development or software integration. - Proficiency in
Python
and AI related libraries - Exposure to
agentic AI frameworks
(e.g., LangChain, CrewAI, AutoGen, FastMCP). - Experience with C/C++ or C# is a plus (for system integration in automotive/embedded domains).
- Basic knowledge of
LLMs, RAG pipelines, embeddings, and vector databases (e.g., FAISS, Pinecone, Weaviate)
. - Familiarity with
REST APIs, FastAPI/Flask, and integration workflows
. - Good understanding of
software development practices
(Git, CI/CD, testing). - Strong problem-solving and communication skills.
Nice-to-Have Skills
- Familiarity with
cloud platforms
(AWS, Azure, GCP). - Prior experience in the
automotive domain
is a plus.
Why Join Us?
- Work on
real-world applied AI use cases
in automotive and enterprise systems. - Learn and grow in a
fast-paced, innovation-driven environment
. - Be part of a global team exploring the
cutting edge of LLMs and agentic AI
. - Competitive salary and growth opportunities.
How to Apply
If you're excited about applying
LLMs and AI frameworks to real-world engineering tools
, we'd love to hear from you
Apply now by sending your CV to
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