AI Engineer
Kyndryl
AWSAzureCloudGoogle Cloud PlatformJavaMicroservicesPythonTerraform
Senior Gen AI Engineer
Blue Yonder
full-time
Posted on:
Location Type: Office
Location: Bangalore • 🇮🇳 India
Visit company websiteJob Level
Senior
Tech Stack
AWSAzureCloudGoogle Cloud PlatformNumpyOpen SourcePandasPythonPyTorchScikit-Learn
About the role
- Design, build and rapidly iterate agentic AI solutions (including orchestration, MCP, A2A) logic and evals using proprietary/open source LLMs and open source agentic frameworks (Autogen).
- Demo your solutions to wider business and to customers to get feedback and rapidly iterate to improve the solutions.
- Collaborate with other team members and supply chain experts to refine Agentic AI solutions and customise your solution to improve fit to a given business problem.
- Research and establish coding standards, best practices, and technical documentation for building reliable and trustworthy agents.
- Evaluate and recommend new technologies to improve our development ecosystem.
- Integrate AI solutions with our existing platform and products.
Requirements
- Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a STEM related field.
- Minimum 3+ years of experience in data science/machine learning/Gen AI with a strong understanding of the Gen AI development ecosystem.
- MUST have strong proficiency in development using Python and ML libraries (pandas, numpy, sklearn, Pytorch, transformers, Hugging Face, LangChain etc.)
- Strong knowledge of LLMs, prompt engineering, RAG, LLM evaluations/ monitoring.
- Experience with cloud platforms (AWS, GCP, or Azure) and Github.
- Proven track record of shipping products powered by LLMs, RAG systems, and/or AI agents is a big plus.
- Comfortable with working in a startup environment embedded within an enterprise.
- Passion for pushing the boundaries of AI and a commitment to staying at the cutting edge of industry trends and technologies.
- Familiarity with CI/CD pipelines and automated testing strategies.
- Familiarity with monitoring, logging, and observability tools for LLMs.
- Previous experience with working on data science problems in supply chain context.
- Strong communication skills and ability to explain complex technical concepts.
- Contributions to open-source projects in the AI/ML space.
Benefits
- Professional development opportunities
- Flexible working hours
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Pythonmachine learningdata scienceLLMsprompt engineeringRAGPytorchtransformersHugging FaceLangChain
Soft skills
strong communication skillscollaborationproblem-solvingadaptabilitypassion for AIcommitment to industry trends
Certifications
Bachelor’s degree in computer scienceBachelor’s degree in Artificial IntelligenceBachelor’s degree in Data ScienceBachelor’s degree in STEM related field