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.

 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

 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

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