Senior Software Engineer

Build AI Systems That Change How Industries Operate

Tailored AI is not just another tech company. We’re building the McKinsey of AI systems a new kind of firm, made up of engineers who understand business deeply and use AI as a force multiplier.

As an SDE 2, you’ll lead and own the engineering for an entire product track, often working directly with clients and stakeholders. You’ll be the architect, the executor, and the problem-solver-in-chief. You’ll take vague problem statements, turn them into elegant solutions, and bring them to life in production.

What You’ll Do

• Architect and build AI-powered software solutions from scratch
• Own a full engineering track—backend, infra, integrations, and LLM workflows
• Interface with customers to align on specs, iterate fast, and deploy with confidence
• Mentor SDE 1s and Interns, conduct code reviews, and guide engineering quality
• Stay on top of AI trends, contribute to internal tooling and shared best practices

What You’ll Gain

• Leadership opportunties and fast progression to Senior SDE roles
• Deep knowledge of how AI is transforming industries while actually building it
• High ownership, zero bureaucracy, and direct influence on product direction
• Exposure to multi-agent AI systems, enterprise integrations, and scalable infra

Who You Are

• 2–3 years of strong backend engineering experience
• Proven track record of owning software modules and delivering in production
• Skilled in Python, Django/FastAPI, Postgres, AWS
• Exposure to system design and performance optimization
• Interest in AI tools like Langchain, OpenAI, vector DBs, etc.
• Strong analytical and communication skills

Tech Stack You’ll Work With

• Python, Django, FastAPI
• Postgres, Redis, S3
• EC2, Lambda, Cloudwatch
• Langchain, LLM APIs, Vector DBs
• REST APIs, Microservices, GitHub Actions

Some Real Problems You Might Work On

• Building a multi-agent career coaching assistant that guides users and automates job hunting
• Deploying a chatbot that generates employee performance reviews on-demand from HR data
• Designing an LLM pipeline to help Indian lawyers access precedents, statutes, and case law in seconds

Interview Process

1. Screening – A quick call with a Co-Founder to align on fit
2. CV + Puzzle + Programming – 1 hour round to gauge problem-solving and fundamentals
3. Live Coding – Solve a coding task using Python + docs
4. System Design – For SDE 2, a take-home problem and a detailed discussion round

Job Title: AI Engineer - NLP/LLM Data Product Engineer Location: Chennai, TN- Hybrid

Duration: Full time

Job Summary:

About the Role:

We are growing our Data Science and Data Engineering team and are looking for an

experienced AI Engineer specializing in creating GenAI LLM solutions. This position involves collaborating with clients and their teams, discovering gaps for automation using AI, designing customized AI solutions, and implementing technologies to streamline data entry processes within the healthcare sector.

Responsibilities:

·        Conduct detailed consultations with clients functional teams to understand client requirements, one use case is related to handwritten medical records.

·        Analyze existing data entry workflows and propose automation opportunities.

Design:

·        Design tailored AI-driven solutions for the extraction and digitization of information from handwritten medical records.

·        Collaborate with clients to define project scopes and objectives.

Technology Selection:

·        Evaluate and recommend AI technologies, focusing on NLP, LLM and machine learning.

·        Ensure seamless integration with existing systems and workflows.

Prototyping and Testing:

·        Develop prototypes and proof-of-concept models to demonstrate the feasibility of proposed solutions.

·        Conduct rigorous testing to ensure accuracy and reliability.

Implementation and Integration:

·        Work closely with clients and IT teams to integrate AI solutions effectively.

·        Provide technical support during the implementation phase.

Training and Documentation:

·        Develop training materials for end-users and support staff.

·        Create comprehensive documentation for implemented solutions.

Continuous Improvement:

·        Monitor and optimize the performance of deployed solutions.

·        Identify opportunities for further automation and improvement.

Qualifications:

·        Advanced degree in Computer Science, Artificial Intelligence, or related field (Masters or PhD required).

·        Proven experience in developing and implementing AI solutions for data entry automation.

·        Expertise in NLP, LLM and other machine-learning techniques.

·        Strong programming skills, especially in Python.

·        Familiarity with healthcare data privacy and regulatory requirements.

Additional Qualifications( great to have):

An ideal candidate will have expertise in the most current LLM/NLP models, particularly in the extraction of data from clinical reports, lab reports, and radiology reports. The ideal candidate should have a deep understanding of EMR/EHR applications and patient-related data.

We are looking for a passionate Python Django Developer responsibility include gathering user requirements, defining system functionality, and writing code in various languages like Python, Django, Javascript, HTML, CSS, etc. Ultimately, the role of the Django Developer is to build high-quality, innovative, and fully performing software that complies with coding standards and technical design.

Responsibilities:

You would be working on our core platform, improving the features of the product, testing and fixing bugs/issues, customizing it for clients, cloud and on-premise deployment, security testing, and configuration, etc. You will also get a chance to build new products from scratch.

Tools and technologies that you’d be working on include the following:

• Django, Python.
• Bootstrap, MaterializeCSS, HTML, JavaScript.
• Nginx, Gunicorn, MySQL/Postgres, API integrations (JSON, XML, SOAP).

• Shell Commands, SSH, SSL Certificate, HTTP/HTTPS.

Eligibility:

• Knowledge of developing web applications using at least one popular web framework (preferably, Django).
• Excellent knowledge of relational databases like Postgres/MySQL, etc.
• Knowledge in designing interactive applications.
• Ability to develop software using Python (Django Framework), Javascript, HTML, and CSS.
• Ability to document requirements and specifications.
• Bachelor of Engineering Degree in Computer Science or Information Technology or Electrical Engineering.

• Understand the fundamentals of Software Engineering, such as Data Structures, Algorithms, Design Patterns
• Ability to write Java applications using Spring, Springboot or any other microservices frameworks
• Experience in the development of REST applications, in Java or Kotlin
• Capable of writing effective APIs
• Solid knowledge of JVM fundamentals such as classloading, memory management, garbage collection
• Demonstrated experience in platform API design and development
• Knowledge on microservice and event-driven architecture
• Experience in working with version control frameworks such as Git (preferable), SVN
•      Experience with NoSQL databases (MongoDB or Cassandra) & Relational Databases
• Solid understanding of TDD & Agile principles such as CI / CD, with a proven track record of implementing solutions centred around those concepts
• Excellent communication, collaboration, reporting, analytical and problem solving skills

We are looking for a Node.js Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of front-end technologies is necessary as well.

Responsibilities

• Integration of user-facing elements developed by front-end developers with server side logic
• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Implementation of security and data protection
• Creating APIs and backend systems
• Scraping sites and creating backend dashboards for data management
• Experience with React.js and native is a plus but not required
• Backend infrastructure management and deployment
• Experience with MongoDB, Express is a plus.