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Posted 9 days ago
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Role at a glance
You will
Lead, mentor and set direction for a team of Senior Full Stack AI Engineers.
Design, build and deploy AI agents and LLM-powered applications, using tool calling, multi-step workflows and RAG.
Build tools that support eDiscovery (on Relativity aiR) and eHearings, and automate internal business processes.
Experience
10+ years
Must-have skills
ASP.NET CoreAWSAgileC#CI/CDDocker
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Job description
Skills:
10+ years of full stack development experience, including 3+ years leading teams or acting as technical lead.
Strong C#, .NET 8+, ASP.NET Core, Entity Framework and SQL Server.
Proven experience taking AI agents and LLM applications to production, including prompt engineering, RAG, vector databases, and APIs or frameworks such as Claude, Azure OpenAI, LangChain or MCP.
Strong DevOps: CI/CD, Docker, Kubernetes, infrastructure as code, and Azure or AWS.
A solid grounding in the SDLC and Agile/Scrum.
Excellent English communication. You’ll work daily with teams in Australia and the US.
Great to have: Experience in legal tech or eDiscovery, Relativity development, OCR or transcription technology, or Java.
Responsibilities:
Lead, mentor and set direction for a team of Senior Full Stack AI Engineers.
Design, build and deploy AI agents and LLM-powered applications, using tool calling, multi-step workflows and RAG.
Build tools that support eDiscovery (on Relativity aiR) and eHearings, and automate internal business processes.
Build full stack .NET web applications and APIs (C#, ASP.NET Core, Angular or React), and Python AI services.
Work with business stakeholders, our Business Analyst and Product Owner to turn requirements into working software.
Lead Agile delivery and own the CI/CD pipelines, cloud deployment and production quality.
Email: jyothi.samudram@lawinorder.com
Key skills
Required
ASP.NET CoreAWSAgileC#CI/CDDockerJavaKubernetesMicrosoft AzureMicrosoft SQL ServerPrompt EngineeringSDLCScrum
This page is for Indian job seekers preparing for cloud engineer, DevOps, backend and solutions architect roles that list AWS as a skill, whether you are a fresher with a first certification or an experienced engineer moving into a senior role. It covers 60 questions in three levels: core services and concepts, then design and configuration choices for one to three years of experience, and finally scenario, security, cost and troubleshooting questions asked in senior rounds. Read each answer, explain it aloud in your own words, and try the CLI commands in a practice account with a billing alert set.
Questions you may be asked
What is the difference between an AWS Region and an Availability Zone?
Explain the AWS shared responsibility model.
What is Amazon EC2, and how do you read an instance type name like m7g.large?
What is Amazon S3, and what are its main storage classes?
