Senior AI Engineer

Location Name:

Job Purpose

Duties And Responsibilities

•  Should have experience in application, product development with industries best practice and standards
•  Should be able to design the enterprise level architecture for scalable, performance-oriented application.
•  Must be expert into code development and technical design of application.
•  Should work independently in individual contributor role on new projects.
•  Should able to manage Azure DevOps processes.
•  Expertise in review and perform optimization for complexity and performance of process
•  Should be able to evaluate the required infra capacity basis the usages.
•  Must be expert in creating solution document, technical design documents for new requirement and RCA
•  Interact with cross teams to understand system issue and follow-up with respective team to get is fixed asap.
•  Understand and identify areas of improvement across businesses and participate in solution identification and implementation
  

Key Decisions / Dimensions

•  Finalizing the Solution design and technical Architecture
•  Approach for technologies and tools to be used for application development
•  Preparing application solution design with technical specification
•  Creation of code, implementation plan and planning deployment
•  Development Planning and resource planning
•  Conduct Code Review / Testing
•  KPI monitoring
  

Major Challenges

•  Keeping up to date with the latest technology
•  Keep optimizing the application code for optimal usages of resources and scalability.
•  Handling Production issues and responsible to communicate to business teams
•  Conduct systematic Root Cause Analysis
•  Maintaining the system uptime to 100%
  

Required Qualifications And Experience

•  Qualifications
  

•  Work Experience
  

•  Mandatory Skills (tasks may differ basis the below mentioned skill sets)
  

Must Have

•  Python, FastAPI, Pydantic v2, React/TypeScript- Advanced proficiency with async/await patterns. Production experience with middleware.
•  Prompt Engineering, Azure Open API, Langchain, Langgraph, AI Agents - Using AI in business application/
•  Docker - Containerization and deployment
•  
  

•  AWS Services - Secrets Manager, IAM roles, ECS/EC2 deployment
•  Azure Active Directory, Azure DevOps, GitHub - REST API integration, work item management. Repo management.
  

•  Database Design, Connection Pooling, Caching Strategies, Error Handling
•  MongoDB - Experience with Motor (async driver) and Beanie ODM
•  Redis - Caching strategies and async operations
  

•  Secrets Management, OAuth2/SAML, JWT Tokens - Token validation, refresh mechanisms, Azure AD integration patterns, AWS Secrets Manager, secure credential handling
•  Security Best Practices - Input validation, PII handling, audit logging Positive and problem-solving attitude, must work as independent contributor
  

•  Technical Communication - Ability to explain complex technical concepts
•  Problem-Solving - Debugging complex distributed systems
•  Code Review - Constructive feedback and knowledge sharing
•  Mentoring - Ability to guide junior developers
•  Strong bias for action & driving results in a high-performance environment.
•  Exceptionally high motivational levels and needs to be a self-starter.