Artificial Intelligence Engineer

Position: AI ML Engineer

Location: Indiranagar, bengaluru

Working Days: 5 days

Work Timings: 10am -7pm

Experience Required: 2 -6 years

Client: Leading B2B Fintech Startup

Salary: 25 LPA - 40 LPA

Job Description :

Build with LLMs & GenAI :

Fine-tune and deploy Large Language Models (LLMs) like GPT, BERT, etc., for

core AI features across the product

Develop and optimize Generative AI capabilities diffusion models, LoRA, or

similar frameworks

Continuously improve performance using prompt engineering, retrieval-augmented

generation (RAG), and user feedback

Deploy AI Workflows :

Build scalable, production-ready AI workflows and pipelines using APIs,

microservices, and vector databases

Translate prototypes into stable product features in collaboration with product and

backend teams

Integrate AI systems into real-time and batch data processing layers

Infrastructure & Performance

Work with cloud GPU environments (AWS/GCP/Azure) to train, run, and monitor

LLM-based systems :

Optimize inference latency and throughput for high-scale use cases

Requirements for the Role :

26 years of experience in AI/ML Engineering

Strong Python skills with experience in frameworks like PyTorch or TensorFlow

Proven hands-on experience with LLMs, prompt engineering, or Generative AI

models

Experience deploying models to production in a cloud environment

(AWS/GCP/Azure)

Comfortable with tools like HuggingFace, LangChain, or similar open-source stacks

Core Expertise

Experience working with transformer-based LLMs (e.g., GPT, BERT, Falcon,

LLaMA).

Strong foundation in ML algorithms, deep learning, and model deployment.

Proven track record in Generative AI and MLOps.

Technical Stack :

Languages: Python (must-have), bonus for Golang or Node.js.

Frameworks: TensorFlow, PyTorch, Hugging Face.

Infra & DevOps: AWS/GCP/Azure, Docker, Kubernetes.

Pipelines: MLflow, Kubeflow, Airflow.