What You'll Do:

• You will help build agentic workflows, improve prompt engineering strategies, and integrate the latest LLMs using SDKs like OpenAI's Responses API and Experian's internal Arabica.

  
  
• Architect agentic workflows allowing multi-agent orchestration across Experian Assistant features.
  
• Integrate and evaluate LLMs (e.g., GPT-4, GPT-5, Claude, Llama) for Assistant use cases including Code Advisor, Analytics Expert, and Data Tutor.
  
• Collaborate with teams to implement latency-optimized solutions and support parallel model onboarding.
  
• Contribute to deployment documentation and release planning using Confluence and internal PR tracking systems.
  
• Ensure code through automated testing, code reviews, and continuous integration pipelines.
  
• Maintain deployment pipelines and ensure testing for beta clients, including glossary expansion and sandbox.
  

What You Know:

• Strong proficiency in Python development for building scalable and high-performance applications.

  
  

• Hands-on experience in LLM Integration and Prompt Engineering, developing AI-driven solutions using large language models.

  
  

• Expertise in LangChain, OpenAI Responses API, and Agentic AI for building intelligent, autonomous, and workflow-based AI applications.

  
  

• Skilled in designing and developing REST APIs and Microservices Architecture to support scalable and distributed systems.

  
  

• Extensive experience with Amazon Web Services (AWS), including cloud-native application development and deployment.

  
  

• Proficient in Docker and Kubernetes for containerization, orchestration, and efficient application deployment.

  
  

• Strong understanding of DevOps practices, enabling continuous integration, continuous delivery (CI/CD), and infrastructure automation.

  
  

• Experience implementing Infrastructure as Code (IaC) to provision, manage, and automate cloud resources.

  
  

• Knowledge of Observability tools and practices for monitoring, logging, troubleshooting, and improving system reliability.

  
  

• Expertise in implementing Role-Based Access Control (RBAC) to ensure secure and compliant access management.

  
  

Education:

• Bachelor’s degree in Computer Science or a ML related field, or equivalent practical experience and 3 to 6 years of professional experience as a ML - Gen AI application engineer.

  
  

Benefits:

• In addition to competitive salaries and benefits packages, Nisum India offers its employees some unique and fun extras:

  
  
• Continuous Learning - Year-round training sessions are offered as part of skill enhancement certifications sponsored by the company on an as-need basis. We support our team to excel in their field.
  
• Parental Medical Insurance - Nisum believes our team is the heart of our business and we want to make sure to take care of the heart of theirs. We offer opt-in parental medical insurance in addition to our medical benefits.
  
• Activities -From the Nisum Premier League's cricket tournaments to hosted Hack-a-thon, Nisum employees can participate in a variety of team building activities such as skits, dance performance in addition to festival celebrations.
  
• Free Meals - Free snacks and dinner is provided on a daily basis, in addition to subsidized lunch.