Software Engineer, Senior (Gen AI, Python, RAG and AWS)

Infor Inc.; Hyderabad; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

Infor Inc. in Hyderabad is seeking a Senior Software Engineer to join the AI Studio team, focusing on Gen AI, RAG, and cloud-based AI services.

You will design, implement, and optimize agent architectures that support ERP solutions across platforms, collaborating with data scientists, ML engineers, and product teams. You should have strong Python/Java, hands-on Generative AI experience, and a track record in building scalable APIs, microservices, and cloud deployments on AWS/Azure/GCP.

Qualifications

• Bachelor's degree in CS/IT/Engineering with 6–8 years in software/cloud roles.
• Strong hands-on Generative AI, LLMs, and AI application development.
• Experience with RAG, prompt engineering, embeddings, and vector databases.
• Proficiency in Python and Java and API/microservices development.
• Experience with AWS (preferred), Azure or GCP.

Responsibilities

• Develop AI-enabled solutions using RAG, embeddings, and LLM orchestration.
• Build and integrate REST APIs, microservices, and cloud services.
• Collaborate with stakeholders to translate requirements into designs.
• Implement AI security, data privacy, and governance practices.
• Support deployment and monitoring of GenAI solutions on cloud platforms.

Skills

Generative AI

LLMs

RAG

Embeddings

Vector databases

Python/Java

API / Microservices

AWS/Azure/GCP

Education

Bachelor's degree in Computer Science / IT / Engineering

Tools

Docker

Kubernetes

Terraform

CI/CD

Job description

Software Engineer, Senior (Gen AI, Python, RAG and AWS)

Department: Development

Employment Type: Full Time

Location: Hyderabad

Description

Infor's AI Studio represents an agentic platform that enables teams to author, configure, and deploy Infor OS and ERP solutions utilizing natural language processing capabilities. We are seeking an Senior Software Engineer to join the AI Studio team and contribute to the development, testing, and enhancement of the agent architecture that supports this platform across ION, Data Fabric, Birst, EPM, RPA/IDP, CSD, and Portal. This initiative constitutes a strategic priority for Infor, designed to accelerate velocity suite sales, enhance customer experience, and facilitate more effective collaboration between Cutomers and Sevices, FDEs, Partners and SCs

A Typical Day in the Life Includes:

• Work on solutions using RAG, vector databases, embeddings, prompt engineering, and LLM orchestration frameworks.
• Develop and integrate REST APIs, microservices, and cloud-based services to support AI applications.
• Work closely with business stakeholders, product teams, data scientists, ML engineers, and developers to translate requirements into technical solutions.
• Implement best practices around AI security, data privacy, responsible AI, model governance, scalability, and performance.
• Support deployment and monitoring of GenAI solutions using cloud platforms, CI/CD, DevOps, and MLOps practices.

Basic Qualifications:

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field. 6–8 years of experience in software, cloud, or solution architecture.
• Strong hands-on experience with Generative AI, LLMs, and AI application development.
• Experience with RAG, prompt engineering, embeddings, vector databases, and LLM integration.
• Proficiency in Python/ Java and API/microservices development. Experience with at least one major cloud platform: AWS (Preferred), Azure, or GCP.
• Experience with at least one major cloud platform: AWS (Preferred), Azure, or GCP.
• Experience with technologies such as Azure OpenAI, OpenAI, AWS Bedrock, Vertex AI, LangChain, or LlamaIndex.
• Strong understanding of cloud architecture, distributed systems, APIs, security, and scalability.
• Excellent communication, technical leadership, and stakeholder-management skills.

Preferred Qualifications:

• Experience building AI agents / Agentic AI solutions.
• Knowledge of MLOps/LLMOps and AI observability.
• Experience with Docker, Kubernetes, Terraform, and CI/CD.
• Experience with Vector databases.