Sr GenAI Dev with Python Jersey City, NJ(3 Days hybrid) Fulltime Opportunity

Role: Sr GenAI Dev with Python

Location: Jersey City NJ(3 Days hybrid)

Duration: Fulltime Opportunity

Note: Karat assessment is must for this role.

We are seeking a skilled AI/ML Developer with a strong background in advanced Python programming and expertise in various AI frameworks and models. The ideal candidate will have experience in prompt engineering AI agentic frameworks large language models (LLMs) retrieval-augmented generation (RAG) and vector databases. This role requires a combination of technical ability creativity and a passion for innovation in the AI domain.

Key Responsibilities:

Develop test and deploy advanced AI/ML models and algorithms using Python.

Design and implement prompt engineering techniques to optimize model responses and performance.

Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.

Utilize AI agentic frameworks to create intelligent systems capable of autonomous decision-making.

Work with large language models (LLMs) to develop applications that understand and generate human-like text.

Implement retrieval-augmented generation (RAG) strategies to enhance the context and relevance of generated outputs.

Manage and optimize vector databases for efficient storage and retrieval of data used in AI applications.

Conduct research and stay up-to-date with the latest advancements in AI/ML technologies and methodologies.

Document processes models and methodologies for future reference and knowledge sharing.

Qualifications:

Bachelors or Masters degree in Computer Science Artificial Intelligence Machine Learning or a related field.

Proven experience in advanced Python programming with a strong understanding of data structures and algorithms.

Demonstrated expertise in prompt engineering and its application within AI models.

Familiarity with AI agentic frameworks and their implementation in real-world applications.

Experience working with large language models (LLMs) and understanding their architecture and functionalities.

Knowledge of retrieval-augmented generation (RAG) techniques and vector databases.

Ability to work effectively in a collaborative environment and communicate complex concepts to non-technical stakeholders.

Strong analytical and problem-solving skills with a focus on delivering high-quality results.

Preferred Skills:

Experience with frameworks and libraries such as TensorFlow PyTorch or Hugging Face.

Familiarity with cloud platforms (AWS Azure Google Cloud) and their AI/ML services.

Knowledge of data preprocessing and data engineering practices.