LLM Engineer - Python/Javascript (3-10 yrs)

Summary :

We're seeking a talented LLM App Senior Developer with a strong foundation in Python and JavaScript and Azure / AWS Cloud to join our team. The ideal candidate will have a passion for leveraging the power of LLMs to create innovative and efficient applications. The purpose of this role is to develop required software features, achieving timely delivery in compliance with the performance and quality standards of the company.

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 :

1. RAG Expertise with building end-to-end RAG (Retrieval Augmented Generation) pipelines, using vector databases, LLM models, and tool integrations

2. Experience with building conversational virtual assistants and chatbots

3. 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

1. Experience with Agentic Architectures and AI Agents, and ability to create a solution using agents on either Azure or AWS Cloud

2. 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.