Senior Software Engineer - AI and Machine Learning

Sr Software Engineer - Ai Agents,Python

Scope:

• We are seeking a highly skilled AI/Prompt Engineer to design, implement, and maintain artificial intelligence (AI) and machine learning (ML) solutions for our organization.
• The ideal candidate will have a deep understanding of AI and ML technologies, as well as experience with data analysis, software development, and cloud computing.

What you'll do:

• Design and implement AI/ conversational AI solutions and ML solutions to solve business problems and to improve customer experience and operational efficiency. 
• Develop and maintain machine learning models using tools such as TensorFlow, Keras, and PyTorch 
• Collaborate with cross-functional teams to identify opportunities for AI and ML solutions and develop prototypes and proof-of-concepts. 
• Develop and maintain data pipelines and ETL processes to support AI and ML workflows. 
• Must have experience in Python, RAG, Vector DB, LangChain/LangGraph
• Monitor and optimize model performance, accuracy, and scalability 
• Stay up to date with emerging AI and ML technologies and evaluate their potential impact on our organization. 
• Develop and maintain technical documentation, including architecture diagrams, design documents, and standard operating procedures 
• Deep experience in GitHub ecosystem: Action, Package, Advance Security and CI/CD pipeline
• Provide technical guidance and mentorship to other members of the data engineering and software development teams. 
• Develop and maintain integrations with third-party systems and APIs to support conversational AI workflows. 
• Develop and maintain technical documentation, including architecture diagrams, design documents, and standard operating procedures. 

Provide technical guidance and mentorship to other team members.

What we are looking for:

Industry Experience:

• Bachelor’s degree in computer science, Information Technology, or a related field with 8-12 years of experience, with 5+ years of experience in conversational AI engineering, design, and implementation
• Proven expertise in the GitHub ecosystem — Actions, CI/CD pipelines, repo governance, and workflow automation
• Hands-on experience in DevOps with containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform) to enable scalable, reliable cloud deployments
• Knowledge in Supply Chain Planning product will be added advantage.
• Possesses basic knowledge of relevant industry domain and business processes of the customers

Technical Skills:

• Experience with Python(must), Oracle DB, Java.
• Demonstrates strong analytical and problem-solving skills.
• AI/ML: Azure AI, RAG, Vector DB, LangChain/LangGraph, ResponseAPI
• Evaluation & Observability: Eval framework, Langfuse, ELK Stack
• DevOps: GitHub ecosystem, CI/CD Pipeline, VC, branching strategies
• Infrastructure automation: Docker, Kubernetes, Terraform
• Understanding of scripting languages – Unix Shell Scripting, PowerShell, Python, etc.

Key Responsibilities:

• Architect, design, and deploy AI Agents
• Build and maintain GitHub-based CI/CD pipelines and automation workflows.
• Lead DevOps transformation with GitHub Actions as the backbone of release engineering.
• Integrate AI-driven capabilities into enterprise SaaS supply chain platforms.
• Implement Eval models, observability, and feedback loops for AI performance optimization.
• Ensure high reliability and scalability of mission-critical AI and SaaS solutions through SRE practices.
• Mentor and guide junior engineers in AI agents, GitHub DevOps, and SaaS reliability.

Soft Skills

• Must have excellent communication and interpersonal skills to interact with global customers, business users and internal personnel, with an emphasis on follow-through and reporting.
• Collaborates relentlessly, passionately and respectfully with various BY teams, customers and partners
• Leads by example demonstrating professionalism during internal and external conversations, understands cultural differences and diversity.
• Balances between Soft skills (process, people, values, teamwork, roles) and hard skills (technologies, frameworks, solutions, products)
• Must be self-motivated and a quick learner - adapt to new technologies, platforms, and integrations.

Our Values

If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Experience Level

Senior Level