Senior Artificial Intelligence Engineer

Senior AI Engineer

We are seeking an experienced Senior AI Engineer to join our dynamic team, driving innovation in AI-driven solutions with a global impact. This role is specifically tailored for a highly motivated professional with a strong technical background in Python and Java, hands-on expertise in developing Retrieval-Augmented Generation (RAG)-based chatbots, Machine Learning, Deep Learning, and solid cloud deployment experience, preferably on AWS. As our Senior AI Engineer, you will spearhead the end-to-end development lifecycle, including solution architecture, design, implementation, deployment, and scaling of cutting-edge AI applications.

What You Will Do:
Lead the design and development of AI-driven applications, particularly focusing on RAG based chatbot solutions.
• Architect robust solutions leveraging Python and Java to ensure scalability, reliability, and maintainability.
• Deploy, manage, and scale AI applications using AWS cloud infrastructure, optimizing performance and resource utilization.
• Collaborate closely with cross-functional teams to understand requirements, define project scopes, and deliver solutions effectively.
• Ensure solutions meet quality standards, including thorough testing, debugging, performance tuning, and documentation.
• Continuously research emerging AI technologies and methodologies to incorporate best practices and innovation into our products

Required Skills & Qualifications
• Bachelor's or master's degree in computer science, Engineering, Data Science, Mathematics, Statistics or related fields.
• At least 3 years of professional experience in AI/Machine Learning engineering.
• Strong programming skills in Python and Java.
• Demonstrated hands-on experience building Retrieval-Augmented Generation (RAG)- based chatbots or similar generative AI applications.
• Proficiency in cloud platforms, particularly AWS, including experience with EC2, Lambda, SageMaker, DynamoDB, CloudWatch, and API  Gateway.
• Solid understanding of AI methodologies, including natural language processing (NLP), vector databases, embedding models, and large language model integrations.

Preferred Qualifications:• AWS certifications (e.g., AWS Solutions Architect, AWS Machine Learning Specialty).
• Familiarity with popular AI/ML frameworks and libraries such as Hugging Face Transformers, TensorFlow, PyTorch, LangChain, or similar.
• Experience in Agile development methodologies.

Benefits

1. Culture:
a. Open Door Policy: Encourages open communication and accessibility to management.
b. Open Office Floor Plan: Fosters a collaborative and interactive work environment.
c. Flexible Working Hours: Allows employees to have flexibility in their work schedules.
d. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback.

2. Child Care & Parental Leave Benefits:
a. Company-sponsored family events: Creates opportunities for employees and their families to bond.
b. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child.
c. Family Medical Leave: Offers leave for employees to take care of family members' medical needs.

3. Perks and Time-Off Benefits:
a. Company-sponsored outings: Organizes recreational activities for employees.
b. Generous PTO: Offers more than industry standard for paid time off.

4. Professional Development Benefits:
a. L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development.
b. Mentorship Program: Offers guidance and support from experienced professionals.
c. Job Training: Provides training to enhance job-related skills.
d. Professional Certification Reimbursements: Assists employees in obtaining professional certifications.
e. Promote from Within: Encourages internal growth and advancement opportunities