AI Engineer
2 days ago
Company Description
MyFluiditi Software Solutions Pvt. Ltd. is a next-generation technology company specializing in
AI-driven app development, digital transformation, and automation solutions
. We empower businesses across industries with custom-built software, mobile applications, and intelligent systems designed to scale.
Role Description
We are looking for a passionate
AI Engineer
to design, develop, and deploy intelligent systems that enhance healthcare operations, automate workflows, and improve decision-making. The ideal candidate should have strong AI/ML development skills, hands-on experience with LLMs or NLP models, and a desire to innovate in the healthcare technology domain.
Qualifications
- Develop and deploy
AI/ML models
for healthcare-related use cases such as patient interaction, diagnostics support, and medical data analysis. - Build and optimize
natural language processing (NLP)
pipelines for structured and unstructured data. - Work on
LLM fine-tuning, RAG pipelines
, and
AI chatbots
to power conversational healthcare experiences. - Collaborate with product, backend, and data teams to integrate AI models into live systems.
- Research and implement
predictive analytics
solutions for healthcare workflows. - Stay updated with the latest advancements in
generative AI, clinical NLP, and multimodal AI systems
.
Required Skills
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field.
- 2+ years of experience in
machine learning, NLP, or LLM-based model development
. - Strong proficiency in
Python
,
TensorFlow/PyTorch
, and
FastAPI
. - Experience working with
Hugging Face
,
LangChain
, and
vector databases
(Pinecone, FAISS, etc.). - Ability to design and deploy
AI microservices
and integrate with backend APIs. - Strong problem-solving and analytical skills with attention to detail.
Preferred Skills
Experience building
AI chatbots or voice agents
.
Familiarity with
speech recognition (STT)
and
text-to-speech (TTS)
technologies.
Exposure to
healthcare data standards
such as HL7/FHIR (preferred, not mandatory).
Understanding of
HIPAA or data compliance
(preferred, not mandatory).
Knowledge of
cloud deployment
(AWS, GCP, or Azure).
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