Senior Machine Learning Engineer

Job Title: Linux Project Administrator (RHEL)

Experience: 8-12 Years

Location: Pan India

Open Positions: 1

Role Overview

We are looking for an experienced RHEL Linux Administrator to manage and support enterprise Linux environments. The candidate should have strong hands-on expertise in system administration, patch management, automation, and performance tuning. This role requires proactive monitoring, troubleshooting, and ensuring high availability of Linux platforms.

Must-Have Technical Skills

1. Red Hat Enterprise Linux (RHEL) & Solaris – In-depth Knowledge

Strong understanding of Linux system internals, kernel tuning, boot process, file systems, and performance monitoring. Ability to analyze logs and troubleshoot complex OS-level issues.

2. Patching Using Red Hat Satellite

Hands-on experience in managing repositories, content views, lifecycle environments, and performing patching activities through Satellite. Knowledge of repo sync and package management processes.

3. Ansible Automation

Experience in creating and executing Ansible playbooks for configuration management, patching, and user management. Ability to perform pre- and post-validation checks and automate routine administrative tasks.

4. Scripting Knowledge

Proficiency in Shell scripting or similar scripting languages to automate system administration tasks and operational processes.

5. Performance Monitoring & System Optimization

Experience in identifying performance bottlenecks and implementing tuning measures to ensure system stability and efficiency.

Good-to-Have Skills

1. GitHub / Subversion / TeamCity

Working knowledge of version control systems and CI/CD tools for automation and deployment workflows.

2. NFS & CIFS

Experience in configuring and troubleshooting network file systems and shared storage environments.

3. Networking, Storage & Virtualization

Good understanding of networking layers, storage concepts, database connectivity, and virtualization platforms.

4. AWX

Exposure to AWX for managing and scheduling Ansible automation workflows.

5. CI/CD & Automation Concepts

Understanding of automation frameworks, pipeline concepts, and DevOps practices.

Key Responsibilities

• Ensure all tickets are addressed and updated within SLA in the ticketing tool.
• Participate in team rotation and support activities.
• Maintain Linux platforms in a highly available, secure, reliable, and performant state.
• Identify performance improvement opportunities and implement enhancements.
• Provide technical support to application and development teams.
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Founding Engineer - LITMAS

About LITMAS

LITMAS is revolutionizing litigation with the first AI-powered platform built specifically for elite litigators. We're transforming how attorneys research, strategize, draft, and win cases by combining comprehensive case repositories with cutting-edge AI validation and workflow automation. We are a team incubated by experienced litigators, building the future of legal technology.

The Opportunity

We're seeking a Founding Engineer to join our core team and shape the technical foundation of LITMAS. This is a rare opportunity to build a category-defining product from the ground up, working directly with the founders to create technology that will transform the US litigation market.

As a founding engineer, you'll have significant ownership over our technical architecture, product decisions, and company culture. Your code will directly impact how thousands of attorneys practice law.

What You'll Do

• Architect and build core platform features using Python, Node.js, Next.js, React, and MongoDB
• Design and implement production-grade LLM systems with advanced tool usage, RAG pipelines, and agent architectures
• Build AI workflows that combine multiple tools for legal research, validation, and document analysis
• Create scalable RAG infrastructure to handle thousands of legal documents with high accuracy
• Implement AI tool chains to provide agents tool inputs
• Design intuitive interfaces that make complex legal workflows simple and powerful
• Own end-to-end features from conception through deployment and iteration
• Establish engineering best practices for AI systems including evaluation, monitoring, and safety
• Collaborate directly with founders on product strategy and technical roadmap

The Ideal Candidate

You're not just an AI engineer, you're someone who understands how to build reliable, production-grade AI systems that users can trust. You've wrestled with RAG accuracy, tool reliability, and LLM hallucinations in production. You know the difference between a demo and a system that handles real-world complexity. You're excited about applying AI to transform how legal professional’s work.

What We're Looking For

Must-Haves

• Deployed production-grade LLM applications with demonstrable experience in:
• Tool usage and function calling
• RAG (Retrieval-Augmented Generation) implementation at scale
• Agent architectures and multi-step reasoning
• Prompt engineering and optimization
• Knowledge of multiple LLM providers (OpenAI, Anthropic, Cohere, open-source models)
• Background in building AI evaluation and monitoring systems
• Experience with document processing and OCR technologies
• 3+ years of production experience with Node.js, Python, Next.js, and React
• Strong MongoDB expertise including schema design and optimization
• Experience with vector databases (Pinecone, Weaviate, Qdrant, or similar)
• Full-stack mindset with ability to own features from database to UI
• Track record of shipping complex web applications at scale
• Deep understanding of LLM limitations, hallucination prevention, and validation techniques

Tech Stack

• Backend: Node.js, Express, MongoDB
• Frontend: Next.js, React, TypeScript, Modern CSS
• AI/ML: LangChain/LlamaIndex, OpenAI/Anthropic APIs, vector databases, custom AI tools
• Additional: Document processing, search infrastructure, real-time collaboration

What We Offer

• Significant equity stake true ownership in the company you're building
• Competitive compensation commensurate with experience
• Direct impact your decisions shape the product and company
• Learning opportunity work with cutting-edge AI and legal technology
• Flexible work remote-first with a global team
• AI resources access to latest models and compute resources

Interview Process

One more thing: Our process includes deep technical interviews and fit conversations. As part of the evaluation, there will be an extensive take-home test that should expect to take at least 4-5 hours depending on your skill level. This allows us to see how you approach real problems similar to what you'll encounter at LITMAS.

• Bachelor's or Master’s degree in Computer Science or equivalent area
• 10 to 20 years of experience in software development
• Hands-on experience designing and building B2B or B2C products
• 3+ years architecting SaaS/Web based customer facing products, leading engineering teams as software/technical architect
• Experiences of engineering practices such as code refactoring, microservices, design and enterprise integration patterns, test and design-driven development, continuous integration, building highly scalable applications, application and infrastructure security
• Strong cloud infrastructure experience with AWS and/or Azure
• Experience building event driven systems and working with message queues/topics
• Broad working experience across multiple programming languages and frameworks with in-depth experience in one or more of the following: .Net, Java, Scala or Go-lang
• Hands-on experience with relational databases like SQL Server, PostgreSQL and document stores like Elasticsearch or MongoDB
• Hands-on experience with Big Data processing technologies like Hadoop/Spark is a plus
• Hands-on experience with container technologies like Docker, Kubernetes
• Knowledge of Agile software development process

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.

Excellent communication skills

Open to work on EST time zone(6pm to 3am)

Technical Skills: 

·        In depth understanding of DevSecOps process and governance 

·        Understanding of various branching strategies 

·        Hands on experience working with various testing and scanning tools (ex. SonarQube, Snyk, Blackduck, etc.) 

·        Expertise working with one or more CICD platforms (ex. Azure DevOps, GitLab, GitHub Actions, etc) 

·        Expertise within one CSP and experience/working knowledge of a second CSP (Azure, AWS, GCP) 

·        Proficient with Terraform 

·        Hands on experience working with Kubernetes 

·        Proficient working with GIT version control 

·        Hands on experience working with monitoring/observability tool(s) (Splunk, Data Dog, Dynatrace, etc) 

·        Hands on experience working with Configuration Management platform(s) (Chef, Saltstack, Ansible, etc) 

·        Hands on experience with GitOps 

Required Skill Set-

Project experience in any of the following - Data Management,

Database Development, Data Migration or Data Warehousing.

• Expertise in SQL, PL/SQL.

Role and Responsibilities -

• Work on a complex data management program for multi-billion dollar

customer

• Work on customer projects related to data migration, data

integration

•No Troubleshooting

• Execution of data pipelines, perform QA, project documentation for

project deliverables

• Perform data profiling, data cleansing, data analysis for migration

data

• Participate and contribute in project meeting

• Experience in data manipulation using Python preferred

• Proficient in using Excel, PowerPoint

 -Perform other tasks as per project requirements.

Expert in Machine Learning (ML) & Natural Language Processing (NLP).

Expert in Python, Pytorch and Data Structures.

Experience in ML model life cycle (Data preparation, Model training and Testing and ML Ops).

Strong experience in NLP, NLU and NLU using transformers & deep learning.

Experience in federated learning is a plus

Experience with knowledge graphs and ontology.

Responsible for developing, enhancing, modifying, optimizing and/or maintaining applications, pipelines and codebase in order to enhance the overall solution.

Experience working with scalable, highly-interactive, high-performance systems/projects (ML).

Design, code, test, debug and document programs as well as support activities for the corporate systems architecture.

Working closely with business partners in defining requirements for ML applications and advancements of solution.

Engage in specifications in creating comprehensive technical documents.

Experience / Knowledge in designing enterprise grade system architecture for solving complex problems with a sound understanding of object-oriented programming and Design Patterns.

Experience in Test Driven Development & Agile methodologies.

Good communication skills - client facing environment.

Hunger for learning, self-starter with a drive to technically mentor cohort of developers. 16. Good to have working experience in Knowledge Graph based ML products development; and AWS/GCP based ML services.

Responsibilities

- Building and maintenance of resilient and scalable production infrastructure 

Improvement of monitoring systems

- Improvement of monitoring systems

- Creation and support of development automation processes (CI / CD)

- Participation in infrastructure development 

- Detection of problems in architecture and proposing of solutions for solving them 

- Creation of tasks for system improvements for system scalability, performance and monitoring

- Analysis of product requirements in the aspect of devops

- Incident analysis and fixing

Skills and Experience

- Understanding of the distributed systems principles 

- Understanding of principles for building a resistant network infrastructure 

- Experience of Ubuntu Linux administration (Debian-like will be a plus)

- Strong knowledge of Bash

- Experience of working with LXC-containers 

- Understanding and experience with infrastructure as a code approach 

- Experience of development idempotent Ansible roles

- Experience of working with git

Preferred experience

 Experience with relational databases (PostgeSQL), ability to create simple SQL queries 

- Experience with monitoring and metric collect systems (Prometheus, Grafana, Zabbix)

- Understanding of dynamic routing (OSPF) 

- Knowledge and experience of working with network equipment Cisco

- Experience of working with Cisco NX-OS

- Experience of working with IPsec, VXLAN, Open vSwitch

- Knowledge of principles of multicast protocols IGMP, PIM

- Experience of setting multicast on Cisco equipment

- Experience administering Atlassian products