Work mode: Hybrid/ Remote ( Quarterly 5 days in office for Remote Employees)
NP : Immediate (max up to 15 days)
Number of Openings: 1
We are seeking a skilled Python Developer with AI/ML, AWS DevOps expertise to design, develop, deploy, and support scalable Artificial Intelligence solutions on AWS. The role involves developing AI-powered applications, deploying Large Language Models (LLMs), automating cloud infrastructure, and managing cloud-native platforms using DevOps best practices.
The ideal candidate should have strong experience in Python programming, AWS cloud services, DevOps, Infrastructure as Code (IaC), AI/ML frameworks, Generative AI technologies.
DevOps & Cloud Engineering
Automate infrastructure provisioning using Terraform or AWS CloudFormation.
Deploy, monitor, and maintain applications on AWS Cloud.
Build automated deployment pipelines using GitHub Actions, GitLab CI/CD, or Jenkins.
Configure and manage AWS services including Lambda, ECS/EKS, S3, API Gateway, DynamoDB, IAM, CloudWatch, and Step Functions.
Optimize cloud infrastructure for performance, scalability, security, and cost.
Build and maintain development, testing, and production environments.
Perform infrastructure administration, monitoring, and routine platform maintenance.
AI/ML & MLOps
Design, develop, train, and deploy Machine Learning and Generative AI solutions.
Develop AI applications using Python and modern AI/ML frameworks.
Deploy LLM-based applications using Amazon Bedrock, OpenAI, or similar platforms.
Integrate LLMs with Knowledge Graphs.
Develop AI Agents using LangChain, LangGraph, and Agentic AI frameworks.
Application Development
Develop REST APIs using Python frameworks such as FastAPI.
Support AWS Lambda-based serverless applications.
Develop and maintain AWS Glue ETL jobs and data processing pipelines.
Experience
- 4–6 years of software development experience.
- Strong programming skills in Python.
- Minimum 3+ years of AWS cloud engineering and DevOps experience.
- Experience building and maintaining CI/CD pipelines.
- Experience deploying AI/ML and Generative AI applications to production.
- Experience with Infrastructure as Code and cloud automation
