Sr. Developer - LLM/Gen-AI

Responsibilities:

• Develop and maintain LLMpowered 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 LLMpowered 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 crossfunctional 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 endtoend 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 Indepth 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 problemsolving and analytical skills.
• Strong communication and teamwork abilities.

Preferred Skills (Good to Have):

• Experience with AI Workflows and LowCode 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 backend integrations using Serverless models
• Familiarity with data extraction and transformation techniques.
• Experience with natural language processing (NLP) tasks.

Qualifications:

• Bachelors 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).