? We’re Hiring: AI Engineer – AWS

? Location: Bengaluru

? Experience: 3–8 Years

? Employment Type: Full-Time

About the Role

We are looking for an AI Engineer with strong hands-on AWS expertise to design, develop, deploy, and scale AI/ML and Generative AI solutions in production environments.

The ideal candidate will have experience in Python, LLMs, RAG, Agentic AI, AWS AI/ML services, and production-grade deployment, with the ability to take AI solutions from POC to production.

? Key Responsibilities

- Design, build, and deploy AI/ML and Generative AI solutions on AWS.
- Develop LLM-powered applications, AI agents, RAG pipelines, and intelligent automation solutions.
- Build scalable AI/ML pipelines using Python and modern AI frameworks.
- Work with AWS services such as Amazon Bedrock, SageMaker, Lambda, S3, ECS/EKS, EC2, and API Gateway.
- Implement RAG solutions using embedding models and vector databases.
- Develop prompt engineering, model evaluation, fine-tuning, and optimization strategies.
- Build MLOps/LLMOps pipelines for model deployment, monitoring, and continuous improvement.
- Integrate AI models with applications through REST APIs and microservices.
- Optimize AI workloads for performance, scalability, reliability, security, and cost.
- Collaborate with Product, Engineering, Data Science, and DevOps teams to deliver production-ready AI solutions.

? Required Skills

AI/ML & Generative AI

- Strong understanding of Machine Learning, Deep Learning, NLP, and Generative AI.
- Hands-on experience with LLMs, RAG, embeddings, vector databases, and prompt engineering.
- Experience with PyTorch, TensorFlow, Hugging Face, LangChain,



or LlamaIndex.
- Understanding of model evaluation, fine-tuning, inference, and optimization.

AWS Cloud

- Hands-on experience with Amazon Bedrock and/or SageMaker.
- Experience with AWS Lambda, S3, EC2, ECS/EKS, API Gateway, Step Functions, and CloudWatch.
- Knowledge of IAM, AWS Glue, Athena, and EventBridge is an advantage.

Programming & Engineering

- Strong proficiency in Python.
- Experience with FastAPI, Flask, or similar frameworks.
- Robust understanding of REST APIs, microservices, Git, Docker, and CI/CD.
- Experience with SQL/NoSQL databases and vector databases such as Pinecone, Weaviate, Milvus, OpenSearch, or pgvector.

? Good to Have

- Experience building GenAI applications using Amazon Bedrock.
- Hands-on experience with Agentic AI, AI agents, and tool/function calling.
- Experience with MLOps/LLMOps, Kubernetes, Terraform, or CloudFormation.
- AWS certifications in Machine Learning or Solutions Architecture.
- Knowledge of AI security, data privacy, model governance, and responsible AI.
- Experience in a startup or fast-paced product environment.

? What We’re Looking For

- Strong analytical and problem-solving skills.
- Ability to take AI solutions from POC to production.
- Understanding of scalable cloud architecture and production systems.
- Ability to work independently and collaborate across teams.
- Strong communication and documentation skills.

?️ Key Technology Stack

Python | AWS | Amazon Bedrock | SageMaker | Generative AI | LLMs | RAG | Agentic AI | LangChain | LlamaIndex | Hugging Face | PyTorch | Docker | Kubernetes | REST APIs | Vector Databases | MLOps | LLMOps

📌 AWS - (AI Engineer) (Bengaluru)
🏢 Pranatree
📍 Bengaluru