Sr AI Engineer

Overview

As a Senior AI Engineer for Advanced AI, you will help build, deploy, and maintain AI/ML applications that support automation, insight, and action across core business workflows. You will contribute hands-on to production-grade AI applications and help deliver reliable AI systems that create measurable business value.

What you'll do

• Build, deploy, and maintain AI/ML applications that support automation, insight, and action across core business workflows.
• Turn well-defined and moderately ambiguous business problems into practical technical solutions.
• Write maintainable, well-tested code.
• Support model and framework integration.
• Build APIs and services.
• Develop data and application workflows.
• Contribute to deployment, monitoring, documentation, and production support.
• Help ensure AI applications are secure, reliable, maintainable, and aligned to Target’s enterprise standards for infrastructure, platform architecture, data handling, and operational readiness.
• Partner with Lead and Principal Engineers to evaluate technical options, identify implementation risks, resolve engineering roadblocks, and improve reusable AI engineering patterns.
• Stay current with developments in AI, machine learning, LLMs, agentic systems, and modern software engineering practices.
• Collaborate with Data Scientists, engineers, product partners, platform teams, security teams, and business stakeholders.

What you'll need

• 4-year degree or equivalent experience.
• 3+ years of hands-on software engineering experience, including experience building or supporting production systems.
• Experience developing AI/ML applications, including LLM-powered applications, applied machine learning solutions, data-intensive applications, intelligent automation capabilities, or agentic systems.
• Strong proficiency with Python.
• Experience with AI/ML or deep learning frameworks such as PyTorch, TensorFlow, LangChain, LlamaIndex, Semantic Kernel, or similar tools.
• Experience working with model APIs, prompt orchestration, retrieval-augmented generation, evaluation approaches, observability tools, cloud platforms, containers, or orchestration technologies.
• Understanding of system design, application architecture, model and framework tradeoffs, experimentation, evaluation, performance optimization, and production deployment considerations for AI systems.
• Experience building maintainable and well-tested services, APIs, data pipelines, applications, or platforms.
• Experience with version control, CI/CD, code review practices, documentation, operational monitoring, and production support.
• Ability to break down business and technical requirements into clear engineering tasks and deliver practical solutions in collaboration with cross-functional partners.
• Strong communication skills, with the ability to explain technical concepts clearly to engineers, Data Scientists, product partners, and business stakeholders.
• Ability to work independently on defined workstreams, collaborate effectively with senior technical partners, and contribute to strong engineering practices within the team.
• Self-driven and results-oriented, with strong ownership, sound judgment, and the ability to move quickly while maintaining high technical standards.
• Collaborative team player with a commitment to continuous learning, knowledge sharing, and building reliable AI systems that create business value.

Details

• Location: Tower 02, Manyata Embassy Business Park, Racenahali & Nagawara Villages, Outer Ring Road, Bangalore, India.
• Job duties may change at any time due to business needs.