𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 (𝐀𝐖𝐒, 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈, 𝐋𝐋𝐌)

𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 (𝐀𝐖𝐒, 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈, 𝐑𝐀𝐆, 𝐋𝐋𝐌)

Location:

Experience:

Domain Preference:

Preferred

Apply Now

We are looking for a highly skilled 𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 with strong hands-on experience in AWS ML stack, Generative AI (LLMs, RAG), SageMaker and Bedrock.

You will work on designing, developing, and deploying scalable AI/ML solutions using AWS services for enterprise-grade applications — including Retrieval-Augmented Generation (RAG) architectures powered by Large Language Models (LLMs).

 𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬:

• Development & deploy ML pipelines using SageMaker, Bedrock, Lambda, Step Functions

 • Develop LLM-based RAG solutions with Amazon Bedrock, JumpStart, & custom fine-tuned models

 • Integrate vector databases like Pinecone, Weaviate, Amazon OpenSearch

 • Implement full ML lifecycle with CI/CD, monitoring, and MLOps best practices

 • Ensure observability using CloudWatch, Prometheus, Grafana

 • Collaborate on AI-enabled applications (chatbots, summarizers, embeddings)

 • Ensure compliance, model explainability, and security

𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬:

4–8

 • 𝐏𝐫𝐨𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐢𝐧 𝐏𝐲𝐭𝐡𝐨𝐧, PyTorch, TensorFlow, HuggingFace, LangChain

 • 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐢𝐧 𝐀𝐖𝐒:

  - SageMaker (Pipelines, Ground Truth, JumpStart)

  - Amazon Bedrock / Claude / OpenAI

  - Lambda, S3, Step Functions, DynamoDB, EventBridge

OpenSearch (KNN/ANN vector search)

 • Experience with LLMs, RAG architectures, vector search, LangChain

 • CI/CD using GitHub Actions, CodePipeline

 • Deployment with Docker, EKS, ECS, or Fargate

 • Exposure to EMR, AWS Glue, chatbot frameworks, React

careers@sidinformation.com