Job Description:

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.
• Works independently with a broader overview on the project
• Participates in communications with partners and clients, when needed
• Understands and follows the release processes in the company
• Participates in requirements analysis, development, unit testing and documentation
• Writes quality code to fit unique customer needs and configurations
• Troubleshoots and debugs (with some guidance from senior team members if needed)
• Provides mentoring to junior Software Engineers
• Delivers trainings and participates in knowledge sharing
• Achieves better understanding of the company platform and processes and suggests improvements

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).

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