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AI Developer

icon building Company : Qode
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Job Description - AI Developer

Job Title: AI Developer
Experience: 3+ years
Location: Bangalore (Hybrid)
Shift: 2 PM to 11 PM

Job Summary: The AI Developer will play a critical role in designing and developing intelligent automation solutions that integrate SAP and non-SAP data sources to address complex business challenges. The role involves leading the development of AI-enhanced data analytics solutions, creating automation tools using Generative AI, and building bi-directional interfaces between SAP, cloud services, and frontend platforms such as Excel, VBA, and Python. The ideal candidate is a hands-on technologist with deep expertise in Python and cloud-native architectures, who thrives in highly creative and fast-paced environments. This position will lead a small team of Python developers and play a strategic role in shaping AI-driven business solutions.

Key Responsibilities
 Design and architect AI-enhanced solutions integrating SAP data, external cloud
data sources (e.g., Google BigQuery, Amazon Redshift), and local file-based
inputs
 Lead development of automation tools and bots using Generative AI (e.g.,
Amazon Bedrock, custom GPTs, Amazon Lex) to interact with APIs, databases,
and back-end systems for real-time data processing and response
 Collaborate with functional and business teams to gather requirements, define
logic, and modularize business processes for AI-assisted code generation
 Develop intelligent frontend tools using Python, VBA, and Excel to streamline
and automate business workflows
 Build, test, and deploy predictive models using machine learning and statistical
techniques (forecasting, regression, simulation, etc.)
 Define and maintain coding standards, Git-based repositories, and CI/CD
pipelines for AI and automation development
 Monitor and troubleshoot solution performance across SAP and non-SAP
environments; ensure high availability and scalability
 Drive innovation by applying AI and cloud services to modernize business
processes such as Order-to-Cash (OTC) and Procure-to-Pay (P2P)
 Oversee development of reusable code modules and AI frameworks; mentor
junior Python developers
 Ensure secure and efficient integration of AI services with AWS, SAP systems,
and third-party applications
 Maintain thorough documentation of design decisions, architecture, and
processes
 Stay updated on evolving AI tools, LLMs, and cloud platforms to continually
improve solution capability

Area of Focus
 Python and VBA-based development for business process automation
 SAP integration (data extraction, update via APIs or file-based interfaces)
 AWS Services: Lambda, Bedrock, Lex, and others
 Generative AI-based development and automation
 Cloud data platforms: Google BigQuery, Amazon Redshift
 Excel dashboards, macros, and Python-based UIs
 Git-based version control and CI/CD workflows
 Advanced debugging, logging, and performance optimization
 Development of prediction and statistical models
 Bi-directional data flow design between SAC, BW, SAP, and external systems

Qualifications
Education
 Required: Bachelor’s Degree in Computer Science, Engineering, Data Science,
or a related field
 Preferred: Master’s Degree in Artificial Intelligence, Machine Learning, or
equivalent
Experience
 Minimum 3 years of strong hands-on experience in Python and VBA
development
 Minimum 1 year of experience using Generative AI tools to automate coding and
workflow design
 Proven experience developing and integrating solutions with business
applications (data read/write, process automation)
 At least 1 year of experience working with cloud platforms (AWS, GCP, or Azure),
including developing Lambda functions, APIs, or microservices
 Solid background in machine learning, data analytics, forecasting, regression,
and simulation techniques
 Experience with SQL, Python data libraries (e.g., Pandas, NumPy, scikit-learn),
and cloud databases
 Knowledge of chatbot development and AI-based API interaction (e.g., Amazon
Lex, Bedrock, OpenAI APIs)
 Experience with GitHub/GitLab, DevOps tools, and implementation of CI/CD
pipelines
 Strong analytical, debugging, and architectural skills
 Experience collaborating in agile, cross-functional, and distributed teams
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