Generative AI Engineer

• Lead the design, development, and deployment of GenAI/ML solutions in production.

• Deliver end-to-end Generative AI implementations (minimum 3 projects).

• Build and optimize LLM-based solutions, including prompt engineering and AI agent workflows.

• Develop RAG pipelines using vector databases (Pinecone, FAISS, Chroma, or similar).

• Collaborate with cross-functional teams and stakeholders to understand requirements and implement scalable AI solutions.

• Ensure AI solutions follow best practices for architecture, performance, and scalability.

• Work with cloud platforms (AWS, Azure, GCP) to deploy and manage AI models.

• Process and analyze large datasets using SQL, Pandas, or Apache Spark.

• Contribute to solution design (HLD/LLD) and provide technical leadership for AI initiatives.

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field

• 7+ years of hands-on experience designing and deploying GenAI/ML solutions

• Proven experience delivering 3 or more end-to-end Generative AI implementations in production

• Strong experience working with Large Language Models (LLMs) and Prompt Engineering

• Hands-on experience with LangChain, LangGraph, and building AI agent workflows

• Experience designing RAG pipelines using Vector Databases (e.g., Pinecone, FAISS, Chroma, or similar)

• Strong programming skills in Python (minimum 3 years); familiarity with R or SQL is a plus

• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn

• Experience with data processing tools such as SQL, Pandas, or Apache Spark

• Familiarity with data warehousing concepts and business intelligence best practices

• Experience working with cloud platforms such as Azure, AWS, or Google Cloud

• Strong analytical, problem-solving, communication, and collaboration skills

• Experience interacting with global stakeholders and multi-location teams