What are the responsibilities and job description for the Senior AI Engineer position at InfiCare?
Title: Senior AI Engineer
Location: Jersey City, NJ
Job Type: Contract
Role Summary
- We are seeking a highly skilled Senior AI Engineer with a strong focus on Gen AI and Agentic development.
- The ideal candidate will be responsible for designing, developing, and implementing Gen AI applications and algorithms that enhance our AI capabilities.
- This role requires a deep understanding of Gen AI principles and the ability to effectively integrate these technologies into existing systems.
Responsibilities:
- Design and develop scalable Gen AI systems to solve complex business problems.
- Integrate AI into existing applications and workflows to ensure seamless functionality.
- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
- Conduct data analysis and preprocessing to prepare datasets for model training and evaluation.
- Monitor and optimize model performance, making adjustments as necessary to improve accuracy and efficiency.
- Stay up to date with the latest advancements in AI and ML technologies and methodologies.
- Document processes, models, and best practices to facilitate knowledge sharing within the team.
- Provide technical guidance and mentorship to junior engineers and team members.
Mandatory Skills:
- Strong knowledge of NLP, LLM app development, and Agentic Design.
- Experience of developing multi-modal RAG systems for enterprise solutions.
- Proficiency in programming languages such as Python, R, or Java.
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Solid understanding of data structures, algorithms, and software engineering principles.
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying ML models.
- Ability to work with large datasets and perform data manipulation and analysis.
Preferred Skills:
- Experience with deep learning techniques and neural networks.
- Familiarity with DevOps practices and tools for continuous integration and deployment.
- Experience in Agile methodologies and working in collaborative team environments.
- Strong problem-solving skills and the ability to think critically under pressure.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
- Proven track record of successful AI/ML project implementations.
- Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.