to design, develop, and deploy cutting-edge AI solutions. The ideal candidate will have hands-on experience with
Large Language Models (LLMs) ,
prompt engineering , and
Generative AI frameworks , along with proven expertise in building
scalable AI applications
for enterprise use cases.
This role focuses on developing
agentic AI systems , retrieval-augmented generation (RAG), and multi modal AI solutions while integrating GenAI capabilities into production-grade applications and workflows.
Mission
Design and deliver
scalable, production-ready Generative AI solutions
that leverage modern LLMs, agentic frameworks, and cloud AI platforms to power intelligent applications across the enterprise.
Key Responsibilities (Scope)
Design and implement
Generative AI models
for:
Text-based applications
Image-based applications
Multimodal AI solutions
Develop and optimize
prompt engineering strategies
to improve LLM performance and reliability
Build and integrate
embedding-based retrieval systems
and
RAG pipelines
Integrate Generative AI capabilities into
web applications and enterprise workflows
Design and develop
agentic AI applications
with:
Context management
Session and memory handling
MCP (Model Context Protocol) tools
Collaborate with cross-functional teams to deploy AI solutions at scale
Ensure AI solutions are reliable, secure, and production-ready
Required Qualifications
Strong proficiency in
Python
Solid experience with
AI/ML frameworks
such as:
PyTorch
TensorFlow
Hands-on experience building
multi-agent systems , including:
Session management
Memory handling
MCP tools
Practical experience working with:
Large Language Models (LLMs)
Transformer architectures
Hugging Face ecosystem
Knowledge and experience with:
Vector databases
Retrieval-Augmented Generation (RAG)
Semantic search techniques
Familiarity with
cloud AI services , including:
AWS SageMaker
Azure OpenAI
GCP Vertex AI
Understanding of
MLOps practices
for scalable AI deployment
Preferred Qualifications
Knowledge of
AI ethics , including:
Bias mitigation
Responsible AI practices
Experience designing AI systems with governance, transparency, and compliance in mind