This role has closed. Infosys has taken the posting down.
hirly last saw it live on 30 September 2026. See similar open roles below, or browse all jobs in Hyderabad.
Infosys
AWS Bedrock Developer+Python
Hyderabad, India
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hirly's read of this role
- Role family
- Engineering
- Seniority
- Mid level
- Country
- IN
- Work mode
- On-site / unstated
- First seen by hirly
- 27 Sept 2026
Derived automatically from the posting.
the posting
Responsibilities
AWS Bedrock & Generative AI
Design and build GenAI solutions using AWS Bedrock and foundation models (FM) such as Amazon Titan, Anthropic Claude, etc.
Implement LLM-based applications like chatbots, summarization engines, recommendation systems, and document intelligence
Apply advanced prompt engineering, fine-tuning, and model evaluation techniques
Design RAG (Retrieval-Augmented Generation) pipelines and integrate vector databases
Python Development
Develop scalable backend systems using Python (FastAPI, Flask, Django)
Build APIs and microservices to integrate AI/ML services into business applications
Write efficient scripts for data preprocessing, automation, and orchestration
AWS Cloud & Architecture
Design cloud-native solutions using AWS services (Lambda, API Gateway, S3, EC2, IAM, CloudWatch, Step Functions)
Architect secure, scalable, and highly available systems
Optimize cloud cost and performance
Ensure data privacy and compliance for AI workloads
Data & AI Integration
Work with structured & unstructured datasets for AI applications
Build pipelines to integrate external data sources with LLMs
Implement vector search, embeddings, and semantic search capabilities
Collaboration & Leadership
Collaborate with data scientists, ML engineers, product teams, and business stakeholders
Lead design discussions and provide technical guidance to junior developers
Participate in Agile/Scrum development cycles
Technical requirements
Primary skills:Technology->Geographical Information System->Spatial Databases->SQL Server,Technology->OpenSystem->Python - OpenSystem
Additional responsibilities
Preferred Skills
Experience with LangChain, LlamaIndex, or similar frameworks
Knowledge of vector databases (FAISS, Pinecone, Weaviate, OpenSearch)
Exposure to Docker, Kubernetes, and containerization
Understanding of ML lifecycle, MLOps, and model deployment
Experience in big data or data engineering tools (Glue, Redshift, Spark)
Education
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech