Your Key Responsibilities

- AI & ML:

- Develop, implement machine learning models and algorithms to solve complex business problems and enhance AI-driven applications

- Collaborate with cross-functional teams, including data scientists, software engineers, to integrate AI solutions into existing products and services

- Hands-on expertise in Python programming and familiarity with AI and machine learning frameworks

- Conduct data analysis, preprocessing, and feature engineering to extract valuable insights using Generative AI, LLMs

- Stay updated on the latest AI, ML, Generative AI advancements, research papers, tools, incorporating them into AI development projects

- Optimize Generative AI models for performance, scalability, and efficiency, leveraging cloud-based resources and distributed computing frameworks

- Actively participate in code reviews and collaborative problem-solving sessions, contributing to the improvement of AI solutions and development processes

- Troubleshoot and resolve AI-related issues, ensuring the reliability and accuracy of AI-driven applications

- Hands-on experience with AI coding assistants (e.g., GitHub Copilot) and other AI-driven development tools

- Design, develop, and maintain IDE extensions for popular development environments such as Visual Studio Code, IntelliJ IDEA, Eclipse, and others
- In depth understanding of concepts related to prompt engineering, LLM models, context window management, Agentic Systems & workflows.

- Design and develop custom generative models tailored to specific applications.





- Experiment with various neural network architectures such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and more

- Data cleaning, chunking & populating data into vector stores

- Experience integrating AI APIs such as OpenAI, Azure OpenAI, LangChain, etc.

- LLM Data stores - Azure Cosmos DB or Azure AI Search

- Agentic workflows - LangChain, llama, Semantic kernel or AutoGen

- Azure AI services - specific to GenAI or Agentic Workflow related services such as Azure OpenAI, OpenAI Assistants/AI Agents

- Proficiency with CI/CD and automation tools: GitHub Actions, Azure DevOps, VS Code

- Previous involvement in copilot projects for areas like development, customer Support

Prompt Engineering:

- Developing, testing and refining AI-generated text prompts

- Collaborating with content, product and data teams to align prompts with company goals and user needs

- Continuously improving prompt quality, performance and the overall AI prompt generation process

- Experiment with different prompts to optimize AI performance and ensure accuracy and relevance.

- Building a prompt library, Integrating prompts into workflows and applications, Training and tuning AI models





- Create prompt templates and frameworks for specific use cases.

- Troubleshoot and refine prompts that produce suboptimal results

Requirements

Must Have:

- Hands-on Experience in either of the following programming languages – Python /C# / Java/ JavaScript

- AI-centric libraries like TensorFlow, PyTorch, Keras

- Deep proficiency with

AI/ML frameworks and libraries including

TensorFlow, PyTorch, and Keras

, with the ability to architect scalable training and inference pipelines.

- Solid command of

Cloud & MLOps platforms

, such as

AWS SageMaker, Azure Machine Learning, Google AI Platform

, including experience building automated model deployment, monitoring, and retraining pipelines.

- Expertise in generative models such as generative adversarial networks (GANs), variational autoencoders (VAEs)

- Hands-on Experience in using Coding Assistants – GitHub Copilot, Codium, ChatGPT

- Hands-on Experience in using Agentic AI Platforms – Microsoft Copilot Agents, AutoGPT, CrewAI, Anthropic Claude etc

- Experience with cloud platforms like AWS, Azure, GCP

- Provide direction, mentorship for junior AI engineers in all projects related aspects

- Participate & perform code reviews of Generative AI, AI Components & Codebase

- Strong problem-solving skills with the ability to quickly identify the root cause of Java application incidents and perform effective troubleshooting.

- Excellent verbal and written communication skills for interacting with both technical teams and business stakeholders.

📌 Artificial Intelligence Consultant (Hyderabad)
🏢 ValueMomentum
📍 Hyderabad