Job Description
Technical Skillset:
Azure open AI usage cloud deployment/troubleshoot LLM
Python ReactJS Javascript capabilities
FSD reactJS Javastrtipt Python LLM/AI
python3 libraries like Pandas Numpy Pytorch Tensorflow Scipy Seaborn Dash pySpark machine learning libraries (Scikit-learn NLTK Spacy) Knowhow on Descriptive and Predictive Analytics (Regressions Decision trees Random Forest SVM Ensemble Mixture of Experts).
Data Exploration: EDA Feature Engineering
NLP: Experience on Natural Language Processing and Natural Language Understanding Data Processing (Data wrangling cleansing) Embeddings Generative AI prompt engineering Large Language Models Langchain / Semantic Kernel (preferred).
Methodology: Agile Scrum
Data Access- SQL
Packaging: ONXX Pickle Docker Images
Web- FastAPI Streamlit GitOps
Responsibilities:
Ability to build a full data pipeline from data ingestion to processing/transformation to load to visualization and analysis
Strong working experience with descriptive and predictive data mining tasks as well as key ML and NLP algorithms and techniques
Develop and build modern AI based applications using LLMs RAG and modern cloud tools
Proficient in using Azure tools for building LLM RAG Agentic applications
Perform sentiment analysis topic modeling NER and text classification
Identify and present insights trends through data analysis
Experience with use of large cross sectional and time series data with a strong foundation in statistical concepts
Excellent communication skills with the ability to work independently and collaboratively across functions and demonstrating strong problem-solving band critical thinking capabilities.
Excellent organization skills and ability to drive scrum ceremonies when required.
Believer in Mentoring team and sharing knowledge
The Senior LLM/AI Developer will be responsible for collaborating in designing and implementing a greenfield generative AI platform as part of a high-impact financial services project. The candidate will contribute to full-stack development using technologies like Python ReactJS and JavaScript and ensure the deployment and integration of Azure OpenAI cloud-based LLM models. The role involves close collaboration with cross-functional teams including client s internal staff and consulting teams in a hybrid work setup. The developer will lead troubleshooting of cloud deployments optimize AI workflows and engage in end-to-end solution delivery using agile methodologies. This role demands hands-on experience in LLM development full-stack engineering capabilities and expertise in integrating AI systems with scalable architecture. Excellent problem-solving and communication skills are vital to liaising between business and technical teams ensuring that technical deliverables align with the platform s strategic vision.
Requirements
At least 5 years of experience in full-stack development with strong skills in Python ReactJS and JavaScript Proven experience in deploying and troubleshooting LLMs in cloud environments preferably using Azure OpenAI Demonstrated expertise in generative AI platforms and AI model integration Strong understanding of agile development processes and collaboration tools Hands-on experience with FSD (Full Stack Development) lifecycle and version control practices Ability to work effectively in hybrid teams including internal employees and consulting developers Comfortable working in a fast-paced greenfield environment and managing deliverables independently Excellent communication skills for cross-functional coordination Familiarity with automated testing frameworks and CI/CD processes Proficient with using personal development environments/laptops for work.
Azure open AI usage, cloud deployment/troubleshoot LLM Python ReactJS, Javascript capabilities FSD, reactJS, Javastrtipt, Python, LLM/AI
Education
Azure open AI usage, cloud deployment/troubleshoot LLM Python ReactJS, Javascript capabilities FSD, reactJS, Javastrtipt, Python, LLM/AI