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Automation AI Engineer

Automation AI Engineer

Blue Yonder

8 - 12 years

10 - 14 Lacs

bengaluru

Posted:3 weeks ago| Platform:

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Skills Required

supply chain cloud computing automation data analysis oracle information technology unix shell scripting python

Work Mode

Work from Office

Job Type

Full Time

Job Description

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 we'll 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:

bachelors 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.

Education

bachelors degree in computer science, Artificial Intelligence, Data Science, or a STEM related field

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