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Artificial Intelligence Engineer

Artificial Intelligence Engineer

Ironbook AIdehradun, India
13 days ago
Job description

Job Description : AI Engineer (AWS AI Stack)

Location : Remote (India)

Experience : 5+ Years

Availability : Immediate Joiners Preferred

Employment Type : Full-time

About the Role

We are looking for a highly skilled AI Engineer with strong hands-on experience across the AWS AI / ML ecosystem . You will design, build, and deploy AI systems, collaborate with cross-functional teams, and contribute to scalable, production-grade solutions using modern AWS-native tooling.

Key Responsibilities

AI / ML Solution Development

  • Build, deploy, and optimize machine learning models on AWS using SageMaker, Bedrock, Lambda, EC2, ECR, and Step Functions.
  • Develop end-to-end ML pipelines (training, evaluation, deployment, monitoring).
  • Implement vector search, embeddings pipelines, and LLM-based applications using Amazon Bedrock or open-source models.
  • Build RAG (Retrieval-Augmented Generation) workflows using AWS services such as OpenSearch / Aurora / DynamoDB.

Data Engineering & MLOps

  • Build scalable data pipelines using Glue, EMR, Kinesis, or Lambda.
  • Implement MLOps workflows using SageMaker Pipelines, Model Registry, MLflow (if applicable), and CI / CD.
  • Monitor and optimize model performance, drift detection, retraining triggers.
  • Backend & Integration

  • Integrate models with applications via REST APIs / async APIs.
  • Work with microservices using Python (FastAPI), Node.js, or similar.
  • Build inference endpoints optimized for low latency and cost efficiency.
  • Cloud Architecture & Optimization

  • Architect and deploy AI workloads following AWS Well-Architected best practices.
  • Optimize compute, storage, and networking for high performance and cost efficiency.
  • Implement security, IAM policies, data encryption, and compliance practices.
  • Required Skills & Experience

    Core AI / ML Skills

  • 5+ years of ML / AI engineering experience, preferably in production environments.
  • Strong expertise with :
  • AWS SageMaker (training, inference, Pipelines, Model Monitor, Debugger).
  • Amazon Bedrock (LLMs, embeddings, fine-tuning or instruction tuning).
  • Feature Store , SageMaker JumpStart , Batch Transform .
  • Solid experience with deep learning frameworks : PyTorch , TensorFlow , Hugging Face , LangChain (optional but preferred).
  • Experience building LLM agents, automation workflows, or RAG-based systems.
  • Programming

  • Strong in Python (mandatory)
  • Experience with FastAPI, microservices, containerized ML workloads
  • Experience with Git, Docker, CI / CD pipelines
  • Data Engineering

  • Good understanding of data modeling, ETL / ELT concepts
  • Experience with Glue, Athena, Kinesis, Redshift, or equivalent
  • Cloud & DevOps

  • Strong hands-on with :
  • Lambda
  • ECS / EKS (nice to have)
  • API Gateway
  • CloudWatch
  • IAM
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    Artificial Intelligence Engineer • dehradun, India

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