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. Your leadership will ensure the delivery of high-performance, reliable, and impactful solutions.

• What You Will Do:
• Lead the design and development of AI-driven applications, particularly focusing on RAGbased 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.
• Mentor team members, providing guidance on best practices in software development, AI methodologies, and cloud deployments.
• 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

Requirements

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.

• Experience with leading projects or teams, managing technical deliverables, and ensuring high-quality outcomes.

• 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.

• Excellent communication skills, capable of conveying complex technical concepts clearly and effectively.

• Strong analytical and problem-solving capabilities, with the ability to navigate ambiguous technical challenge

Benefits

Employee 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

• Employee Referral Bonus: Rewards employees for referring qualified candidates.

e

• Appraisal Process Twice a Year: Provides regular performance evaluations and feedback.

• 2. Inclusivity and Diversity:

a. Hiring practices that promote diversity: Ensures a diverse and inclusive workforce.

b

• Mandatory POSH training: Promotes a safe and respectful work environment.

• 3. Health Insurance and Wellness Benefits:

a

• GMC and Term Insurance: Offers medical coverage and financial protection.

b

• Health Insurance: Provides coverage for medical expenses.

c

• Disability Insurance: Offers financial support in case of disability.

• 4. 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.

• 5. Perks and Time-Off Benefits:

a. Company-sponsored outings: Organizes recreational activities for employees.

b

• Gratuity: Provides a monetary benefit as a token of appreciation.

c

• Provident Fund: Helps employees save for retirement.

d

• Generous PTO: Offers more than the industry standard for paid time off.

e

• Paid sick days: Allows employees to take paid time off when they are unwell.

f

• Paid holidays: Gives employees paid time off for designated holidays.

g

• Bereavement Leave: Provides time off for employees to grieve the loss of a loved.

• 6. 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

• 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.
• Experience with leading projects or teams, managing technical deliverables, and ensuring high-quality outcomes.
• 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.
• Excellent communication skills, capable of conveying complex technical concepts clearly and effectively.
• Strong analytical and problem-solving capabilities, with the ability to navigate ambiguous technical challenge