AI Engineer

Applied AI/ML Engineer

Location: Bangalore (on-site)

Experience: 2+ Years

About the Company

The client is is an AI technology company focused on AI-driven network observability and GenAI-powered automation. Founded by researchers from IISc and IIT, the Bangalore-based startup builds solutions for network engineers, telecom providers, and OEMs.

About the Role

We are looking for an Applied AI/ML Engineer who can translate customer requirements

into practical AI solutions and take them from problem definition to working implementation.

Key Responsibilities

• Understand customer requirements and translate them into AI/ML use cases.
• Design end-to-end system architectures for AI/ML solutions.
• Build and prototype AI/ML applications using LLMs, RAG, agents, or traditional ML.
• Work with customers and engineering teams to deliver tangible outcomes.
• Evaluate models and approaches based on accuracy, performance, cost, and feasibility.
• Create technical documentation, architecture diagrams, and solution designs.
• Stay hands-on with emerging AI/ML technologies.

Requirements

• Strong Python and AI/ML fundamentals.
• Good understanding of LLMs, RAG, embeddings, agents, and model evaluation.
• Understanding of software architecture, APIs, databases, and deployment.
• Strong problem-solving and communication skills.
• Ability to quickly prototype a working solution to production deployment.
• Ability to learn quickly and work on ambiguous, real-world problems.

Good-to-Have Projects / Experience

• Built an end-to-end AI/ML application rather than only a model/notebook.
• LLM/RAG application with a real data source and evaluation.
• AI agent or multi-agent workflow.
• ML system deployed through an API or web application.
• Computer vision, NLP, time-series, or anomaly-detection project.
• Knowledge graph or graph-based AI project.
• Experience with Docker, Kubernetes, cloud, or MLOps.
• Open-source contributions, research projects, hackathons, or strong GitHub projects.