2 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Design and develop AI and Generative AI applications using AWS services and modern AI frameworks.
- Build Retrieval-Augmented Generation, AI agent, copilot, and intelligent document-processing solutions.
- Develop secure, scalable APIs, microservices, and cloud-native applications.
- Lead technical solution design, architecture reviews, rapid prototyping, production deployment, and end-to-end solution ownership.
- Implement MLOps and GenAIOps practices covering testing, monitoring, observability, governance, and deployment pipelines.
- Collaborate with R&D, Clinical, Regulatory, Quality, and Medical stakeholders to translate business needs into practical AI solutions.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related technical field.
- 5–7 years of experience in software, cloud, data, or AI engineering with hands-on delivery of production-grade solutions.
- Strong proficiency in Python and professional software engineering practices, including modular design, testing, code review, and AI-assisted coding.
- Hands-on AWS experience, preferably including Amazon Bedrock, SageMaker, Lambda, ECS/EKS, S3, API Gateway, OpenSearch, DynamoDB, Glue, Athena, and Step Functions.
- Experience with LLMs, prompt engineering, RAG architectures, vector databases, AI agents, and model evaluation.
- Experience developing REST APIs and microservices with frameworks such as FastAPI or Flask.
- Working knowledge of Docker, Kubernetes, GitHub Actions, Terraform or CloudFormation, and CI/CD pipelines.
- Strong analytical, problem-solving, communication, and stakeholder-management skills.
- Preferred experience includes MedTech, healthcare, life sciences, clinical research, medical devices, quality, or regulatory environments.
- Preferred exposure includes responsible AI, AI governance, security, privacy, regulated-data practices, knowledge graphs, Amazon Neptune or Neo4j, multimodal AI, and LangGraph, CrewAI, or AutoGen.
- Relevant AWS certification in Solutions Architecture, Developer, Data, AI, or Machine Learning is preferred.
Benefits
- Relocation assistance is available.
- Work hours are 1 PM to 10 PM IST.