Artificial Intelligence Engineer - Generative AI

Job Summary :

We are looking for a dynamic and innovative AI/ML Engineer with expertise in Generative AI and hands-on experience in GCP or other cloud platforms.

The ideal candidate will have proven experience in developing, training, fine-tuning, and deploying advanced AI/ML models.

You will play a pivotal role in building scalable, production-ready solutions involving large datasets, NLP techniques, and cutting-edge frameworks such as MCP, Retrieval-Augmented Generation (RAG), and REACT (Retrieve, Extract, Adapt, Construct, Think).

This role requires a solid foundation in Python, SQL, and AI/ML development pipelines, combined with a passion for solving real-world problems using AI.

Roles & Responsibilities :

- Build conversational AI solutions and chatbots using frameworks such as LangChain, RAG (Retrieval-Augmented Generation), and Chain-of-Thought (COT) prompting.

- Apply advanced techniques, including embeddings, fine-tuning, and custom prompting strategies.

- Incorporate REACT (Retrieve, Extract, Adapt, Construct, Think) methods to enhance model capabilities.

- Develop scalable AI solutions to integrate seamlessly into production environments.

Data Handling :

- Manage large-scale datasets for AI/ML applications, ensuring data quality, transformation, and normalization.

- Conduct data analysis, preprocessing, and munging to extract valuable insights.

- Implement scalable data engineering workflows for model development and production.

Cloud AI/ML Deployment :

- Deploy, manage, and optimize AI models on Google Cloud Platform (GCP) (or other cloud platforms like AWS/Azure).

- Leverage GCP services such as Vertex AI, BigQuery, Cloud Functions, and Dataflow for AI workflows.

Collaboration & Solutioning :

- Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to deliver AI-driven solutions.

- Integrate models with client-facing applications, ensuring end-to-end implementation.

- Support scalable development through Docker for containerization (a plus).

Continuous Improvement :

- Stay updated with the latest advancements in AI, ML, and Generative AI frameworks, tools, and methodologies.

- Proactively learn new technologies and apply them to improve processes and solutions.

Web Scraping (Optional but Preferred) :

- Implement web scraping solutions to gather data from unstructured sources for model training and validation.

Required Skills & Qualifications :

- Strong programming skills in Python and SQL.

- Hands-on experience with Generative AI, LLMs, and NLP techniques.

- Experience working with LangChain, RAG frameworks, and advanced prompting strategies.

- Proficiency in Chain-of-Thought (CoT) prompting, Model Context Protocol (MCP), and Agent-to-Agent (A2A) orchestration.

- Proficiency in embeddings and fine-tuning models for specific tasks.

- Strong understanding of machine learning algorithms and statistical analysis.

- Experience working with large datasets and scalable data processing workflows.

- Hands-on experience with GCP (Vertex AI, BigQuery) or other cloud platforms (AWS/Azure).

- Knowledge of Docker for deployment and containerization.

- Solid skills in data cleaning, transformation, and normalization for data integrity.

Preferred Skills :

- Understanding of COT (Chain-of-Thought) prompting.

- Proficiency in REACT (Retrieve, Extract, Adapt, Construct, Think) frameworks.

- Experience in web scraping techniques.

Key Attributes :

- Ability to work independently as well as collaboratively in a team environment.

- Excellent communication skills to interact with stakeholders and cross-functional teams.

- Proactive attitude to learn and adopt new AI technologies and frameworks.