AI Engineer

Role Description

Role Proficiency:

Act creatively to develop applications and select appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions account for others' developmental activities

Outcomes

• Interpret the application/feature/component design to develop the same in accordance with specifications.
• Code debug test document and communicate product/component/feature development stages.
• Validate results with user representatives; integrates and commissions the overall solution
• Select appropriate technical options for development such as reusing improving or reconfiguration of existing components or creating own solutions
• Optimises efficiency cost and quality.
• Influence and improve customer satisfaction
• Set FAST goals for self/team; provide feedback to FAST goals of team members
  
  

Measures Of Outcomes

• Adherence to engineering process and standards (coding standards)
• Adherence to project schedule / timelines
• Number of technical issues uncovered during the execution of the project
• Number of defects in the code
• Number of defects post delivery
• Number of non compliance issues
• On time completion of mandatory compliance trainings
  
  

Code

Outputs Expected:

• Code as per design
• Follow coding standards templates and checklists
• Review code – for team and peers
  
  

Documentation

• Create/review templates checklists guidelines standards for design/process/development
• Create/review deliverable documents. Design documentation r and requirements test cases/results
  
  

Configure

• Define and govern configuration management plan
• Ensure compliance from the team
  
  

Test

• Review and create unit test cases scenarios and execution
• Review test plan created by testing team
• Provide clarifications to the testing team
  
  

Domain Relevance

• Advise Software Developers on design and development of features and components with a deep understanding of the business problem being addressed for the client.
• Learn more about the customer domain identifying opportunities to provide valuable addition to customers
• Complete relevant domain certifications
  
  

Manage Project

• Manage delivery of modules and/or manage user stories
  
  

Manage Defects

• Perform defect RCA and mitigation
• Identify defect trends and take proactive measures to improve quality
  
  

Estimate

• Create and provide input for effort estimation for projects
  
  

Manage Knowledge

• Consume and contribute to project related documents share point libraries and client universities
• Review the reusable documents created by the team
  
  

Release

• Execute and monitor release process
  
  

Design

• Contribute to creation of design (HLD LLD SAD)/architecture for Applications/Features/Business Components/Data Models
  
  

Interface With Customer

• Clarify requirements and provide guidance to development team
• Present design options to customers
• Conduct product demos
  
  

Manage Team

• Set FAST goals and provide feedback
• Understand aspirations of team members and provide guidance opportunities etc
• Ensure team is engaged in project
  
  

Certifications

• Take relevant domain/technology certification
  
  

Skill Examples

• Explain and communicate the design / development to the customer
• Perform and evaluate test results against product specifications
• Break down complex problems into logical components
• Develop user interfaces business software components
• Use data models
• Estimate time and effort required for developing / debugging features / components
• Perform and evaluate test in the customer or target environment
• Make quick decisions on technical/project related challenges
• Manage a Team mentor and handle people related issues in team
• Maintain high motivation levels and positive dynamics in the team.
• Interface with other teams designers and other parallel practices
• Set goals for self and team. Provide feedback to team members
• Create and articulate impactful technical presentations
• Follow high level of business etiquette in emails and other business communication
• Drive conference calls with customers addressing customer questions
• Proactively ask for and offer help
• Ability to work under pressure determine dependencies risks facilitate planning; handling multiple tasks.
• Build confidence with customers by meeting the deliverables on time with quality.
• Estimate time and effort resources required for developing / debugging features / components
• Make on appropriate utilization of Software / Hardware’s.
• Strong analytical and problem-solving abilities
  
  

Knowledge Examples

• Appropriate software programs / modules
• Functional and technical designing
• Programming languages – proficient in multiple skill clusters
• DBMS
• Operating Systems and software platforms
• Software Development Life Cycle
• Agile – Scrum or Kanban Methods
• Integrated development environment (IDE)
• Rapid application development (RAD)
• Modelling technology and languages
• Interface definition languages (IDL)
• Knowledge of customer domain and deep understanding of sub domain where problem is solved
  

Additional Comments

5-8y AI Engineer with strong Python development experience, PyTorch MUST to have, LLMS's, AI tools, API Development, SQL knowledge, Agentic AI, and Generative AI. Two or more years of experience in applying AI to practical and comprehensive technology solutions - Strong knowledge of AI frameworks such as TensorFlow or PyTorch - Experience with ML, deep learning, TensorFlow, Python, NLP and computer vision - Experience in REST API development, NoSQL database design, and RDBMS design and optimizations - Strong understanding of neural networks, computer vision, natural language processing, and/or reinforcement learning. - Ability to design, develop, and deploy AI and machine learning solutions. - Proficiency in data processing and analysis using tools such as SQL, R, and/or Pandas. - Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud. - Experience in working with large datasets and data preprocessing techniques. - Familiarity with agile development methodologies and version control systems. - Strong problem-solving and analytical skills with a focus on continuous improvement. - Excellent communication and collaboration skills to work effectively in a multidisciplinary team environment. - Excellent ability to work in a team environment - Experience in program leadership, governance, and change enablement - Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns -Qualifications-bachelor’s or master’s degree in computer science or related field.

Skills

AI Engineer,Pytorch,LLMs