Job Description
Job Title: Gen AI Developer
Location: Bangalore / Lucknow
Role Type: Full-time, Senior level
Company’s website: https://usefulbi.com
LinkedIn link: UBI LinkedIn
About UsefulBI:
UsefulBI is a leading AI-driven data solutions provider specialising in data engineering, cloud transformations, and AI-powered analytics for Fortune 500 companies. We help businesses turn complex data into actionable insights through our innovative products and services.
Role Overview:
We are seeking a Senior Data Scientist / Gen AI Developer who is passionate about transforming raw data into intelligent business insights and building AI models that solve real-world problems. In this role, you’ll work across the entire data science lifecycle—from exploratory analysis and statistical modeling to deploying advanced LLM-based and Generative AI solutions.
You will be at the forefront of building AI-powered products across domains like healthcare, life sciences, finance, and enterprise analytics, with a focus on real-world impact and scalable architecture.
Key Responsibilities
Design, develop, and deploy
Generative AI applications
using
LLMs
such as GPT-4, Claude, Mistral, Gemini, and frameworks like
LangChain .
Build
GenAI-powered solutions
including AI report generators, contextual chatbots, summarization engines, and semantic search systems.
Design, optimize, and evaluate
prompts
for diverse use cases and user personas.
Implement and enhance
Retrieval-Augmented Generation (RAG)
pipelines to improve relevance and accuracy.
Fine-tune and customize foundation models using
LoRA, PEFT, and prompt-tuning
techniques.
Evaluate and monitor model performance across
accuracy, latency, and business KPIs .
Apply
NLP techniques
such as entity recognition, topic modeling, sentiment analysis, summarization, and question answering.
Work with libraries and frameworks including
Hugging Face Transformers, LangChain, spaCy, and NLTK .
Deploy and scale GenAI solutions on cloud platforms such as
AWS Bedrock/SageMaker, GCP Vertex AI, and Azure OpenAI .
Build secure, scalable
inference pipelines
integrated with backend systems and APIs.
Implement
MLOps best practices
using tools like
MLflow, Docker , and CI/CD pipelines.
Collaborate with
product managers, data engineers, and designers
to align AI solutions with business goals.
Continuously explore and experiment with emerging
GenAI models, tools, and research
to keep solutions cutting-edge.
Required Skills & Qualifications
7+ years
of experience as a
Data Scientist , with strong exposure to
Generative AI / LLM-based applications .
Proficiency in
Python
and ML libraries including
Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch .
Experience across the
end-to-end ML lifecycle : development, validation, deployment, and monitoring.
Strong foundation in
statistics, probability, and data modeling .
Hands-on experience with
NLP libraries
such as
NLTK, spaCy, and Hugging Face Transformers .
Practical experience with
OpenAI APIs, LangChain, RAG architectures, and LLM fine-tuning .
Experience with
SQL
and at least one
NoSQL database .
Familiarity with
cloud platforms
(AWS, GCP, Azure) and
version control (Git) .
Strong communication skills with the ability to explain complex AI concepts to
non-technical stakeholders .
