Responsibilities:

Develop and maintain LLM-powered applications using Python/JavaScript on Azure or AWS cloud platforms.
Integrate LLM apps with foundational models using multiple techniques and methods
Design and develop Virtual Assistants, AI Workflows, and other LLM-powered apps that interface with a variety of different LLM models
Leverage external data and content sources to ground LLM outputs
Design and implement Integrations and APIs to augment the LLM
Collaborate with cross-functional teams to understand business requirements and deliver solutions that meet their needs.
Stay up to date with the latest advancements in LLM technology and cloud platforms.

Required Skills (Must Have):

Language: Strong proficiency in Python programming language.
Cloud LLM API: Expertise with Azure OpenAI or AWS Bedrock service, foundation models, and integration
Vector DB: Expertise with Azure AI Search service, or otherwise with AWS OpenSearch / Kendra for AI Search queries
Prompt engineering: Strong Expertise with Prompt engineering and Prompt Design, including multiple prompting methods, for LLM apps
Patterns
RAG Expertise with building end-to-end RAG (Retrieval Augmented Generation) pipelines, using vector databases, LLM models, and tool integrations
Experience with building conversational virtual assistants and chatbots
Understanding of API integration and data workflows
LLM framework: Experience with at least one LLM framework - Langchain, Llamaindex, or other
LLM models - In-depth knowledge of LLM models and their applications.
Advanced LLM/AI Development skills
Experience with Agentic Architectures and AI Agents, and ability to create a solution using agents on either Azure or AWS Cloud
Ability to design and develop scalable and efficient applications.
Serverless: Experience with Azure Function Apps or AWS Lamba functions
Cloud: Experience with Azure or AWS cloud platforms
Excellent problem-solving and analytical skills.
Strong communication and teamwork abilities.

Preferred Skills (Good to Have):

Experience with AI Workflows and Low-Code AI Workflow Builder tools, such as Copilot Studio, Azure Prompt Flows, AWS Prompt Flows
Knowledge of AI Agents and building intelligent solutions using AI agent orchestrations.
Knowledge of AI and machine learning frameworks (e.g., TensorFlow, PyTorch).
Knowledge of building cloud services and cloud back-end integrations using Serverless models
Familiarity with data extraction and transformation techniques.
Experience with natural language processing (NLP) tasks.

Qualifications:

Bachelor s degree in computer science, Computer Engineering, or a related field.
3+ years of experience in software development.
Experience with LLM applications and cloud platforms.
Strong understanding of software development methodologies (e.g., Agile).

Sr. Developer (LLM)