AWS Bedrock Azure Open AI Developer

Infosys; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Infosys Hyderabad seeks an experienced software engineer to design and develop Generative AI applications using AWS Bedrock or Azure OpenAI. You will build AI-powered chatbots, integrate with enterprise apps, and implement RAG architectures with vector databases and APIs.

The role requires 3-5 years of software development experience, hands-on cloud AI experience, and strong Python skills. Collaboration with cross-functional teams and production deployment of AI solutions are key

Qualifications

• 3-5 years of software development experience.
• Hands-on experience with AWS Bedrock or Azure OpenAI.
• Strong programming skills in Python.
• Experience with LLMs, Generative AI, Prompt Engineering, and RAG.
• Knowledge of LangChain, Semantic Kernel, or similar frameworks.
• Experience with vector databases such as Pinecone, FAISS, ChromaDB, or Weaviate.
• Familiarity with REST APIs, FastAPI, Flask, or microservices architecture.
• Knowledge of cloud platforms (AWS/Azure).

Responsibilities

• Design and develop Generative AI applications using AWS Bedrock or Azure OpenAI.
• Build and integrate AI-powered chatbots, virtual assistants, and knowledge management solutions.
• Implement RAG architectures using vector databases.
• Develop APIs and backend services using Python, FastAPI, or Flask.
• Work with foundation models such as Claude, Llama, Mistral, GPT, and other LLMs.
• Create and optimize prompts for improved model performance.
• Collaborate with cross-functional teams to deliver scalable AI solutions.
• Monitor, troubleshoot, and optimize AI application performance.

Skills

Generative AI development

Python programming

Prompt engineering

RAG architectures

LangChain/Semantic Kernel

Vector databases

REST APIs

FastAPI/Flask

Cloud platforms AWS/Azure

LLMs

Tools

Docker

Kubernetes

CI/CD pipelines

Job description

Job Description:

Key Responsibilities Design and develop Generative AI applications using AWS Bedrock or Azure OpenAI. Build and integrate AI-powered chatbots, virtual assistants, and knowledge management solutions. Implement RAG (Retrieval-Augmented Generation) architectures using vector databases. Develop APIs and backend services using Python, FastAPI, or Flask. Work with foundation models such as Claude, Llama, Mistral, GPT, and other LLMs. Create and optimize prompts for improved model performance. Integrate AI solutions with enterprise applications and cloud services. Monitor, troubleshoot, and optimize AI application performance. Collaborate with cross-functional teams to deliver scalable AI solutions. Required Skills 3-5 years of software development experience. Hands-on experience with AWS Bedrock or Azure OpenAI. Strong programming skills in Python. Experience with LLMs, Generative AI, Prompt Engineering, and RAG. Knowledge of LangChain, Semantic Kernel, or similar frameworks. Experience with vector databases such as Pinecone, FAISS, ChromaDB, or Weaviate. Familiarity with REST APIs, FastAPI, Flask, or microservices architecture. Knowledge of cloud platforms (AWS/Azure).

A day in the life of an Infoscion

• As part of the Infosys delivery team, your primary role would be to ensure effective Design, Development, Validation and Support activities, to assure that our clients are satisfied with the high levels of service in the technology domain.
• You will gather the requirements and specifications to understand the client requirements in a detailed manner and translate the same into system requirements.
• You will play a key role in the overall estimation of work requirements to provide the right information on project estimations to Technology Leads and Project Managers.
• You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Experience with AI Agents, Multi-Agent Systems. Knowledge of Docker, Kubernetes, CI/CD pipelines. Exposure to Machine Learning and MLOps concepts. Experience in deploying AI applications in production environments.