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.

Positive-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.

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