The Role
Lead design, implementation, deployment, and scaling of AI-driven applications with emphasis on RAG-based chatbots. Architect solutions using Python and Java, deploy on AWS, mentor engineers, collaborate cross-functionally, ensure testing/performance tuning, and research emerging AI technologies to drive innovation.
Summary Generated by Built In
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:
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:
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
one.
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
Skills Required
- Bachelor's or master's degree in Computer Science, Engineering, Data Science, Mathematics, Statistics or related field
- At least 3 years of professional experience in AI/Machine Learning engineering
- Strong programming skills in Python and Java
- Hands-on experience building Retrieval-Augmented Generation (RAG)-based chatbots or similar generative AI applications
- Proficiency with AWS cloud services, including EC2, Lambda, SageMaker, DynamoDB, CloudWatch, and API Gateway
- Solid understanding of AI methodologies including NLP, vector databases, embedding models, and LLM integrations
- Experience leading projects or teams and managing technical deliverables
- AWS certifications (e.g., Solutions Architect, ML Specialty)
- Familiarity with Hugging Face Transformers, TensorFlow, PyTorch, LangChain or similar frameworks
- Experience with Agile development methodologies
- Excellent communication skills
- Strong analytical and problem-solving capabilities
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The Company
What We Do
Established in 2015, we started by recognizing the gap when we identified crucial implementation gaps in the market. While working with a leading technology company, the core team discovered opportunities where our expertise could bridge these gaps, laying the foundation for Kanerika. Dedicated to empowering businesses with cutting-edge technology solutions, we've been on a relentless pursuit to craft efficient, future-ready enterprises, marking our journey with growth and transformative impact milestones About us: - 9+ Years in Business - 6 Offices Across the Globe - 300+ Consultants Worldwide Our Specialization: - Data Analytics - Data Integration - Data Governance - Robotic Process Automation - Generative AI Credentials: - SOC II Compliant - ISO 27001 and ISO 27701 Certified - Microsoft Partner Numbers that Matter: - 99% Client Retention - 95% Customer Satisfaction Rate - 45% YoY Growth Ready to unleash the power of tech in your business? Let's connect! Book a time that works for you here: https://www.kanerika.com/meet
