Job Description - 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
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.
• 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
Shubham Vishwakarma
Full Stack Developer - Averlon
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Full Stack Developer - Averlon