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AI Engineer
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AI Engineer

Disha Bhardwaj 's profile picture
Posted by Disha Bhardwaj
8 - 12 yrs
₹25L - ₹30L / yr
Chennai
Skills
Natural Language Processing (NLP)
Large Language Models (LLM) tuning
Artificial Intelligence (AI)
skill iconPython

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.

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About BigRio

Founded :
2013
Type :
Products & Services
Size :
20-100
Stage :
Profitable

About

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Company social profiles

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Job Title: Senior Backend Engineer

Industry: SAAS

Function – Information Technology

Experience Required: 5-8 years

- Working Days: 6 days a week, (5 days-in-office, Saturdays WFH)

Employment Type: Full Time

Job Location: Bangalore

CTC Range: Best in Industry

 

Preferred Skills: AWS, NodeJS, RESTful APIs, NoSQL

 

Criteria

· Minimum 5+ years in backend engineering with strong system design expertise

· Experience building scalable systems from scratch

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· Strong NoSQL design skills

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Job Description

The Role:

What You’ll Build:

1. System Architecture & Design

● Architect highly scalable backend systems from the ground up

● Define technology choices: frameworks, databases, queues, caching layers

● Evaluate microservices vs monoliths based on product stage

● Design REST, GraphQL, and real-time WebSocket APIs

● Build event-driven systems for asynchronous processing

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● Build high-performance APIs for 3D content, XR experiences, analytics, and user interactions

● Create 3D asset processing pipelines for uploads, conversions, and optimization

● Develop distributed job workers for CPU/GPU-intensive tasks

● Build authentication/authorization systems (RBAC)

● Implement billing, subscription, and usage metering

● Build secure webhook systems and third-party integration APIs

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● Profile and improve CPU, memory, and network performance

5. Infrastructure & DevOps

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7. Data Processing & Analytics

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● Process high-volume event streams at scale

● Build data warehouses for BI and reporting

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Technical Stack:

1. Backend Languages & Frameworks 

●  Primary: Node.js (Express, NestJS), Python (FastAPI, Django)

●  Secondary: Go, Java/Kotlin (Spring)

●  APIs: REST, GraphQL, gRPC


2. Databases & Storage

● SQL: PostgreSQL, MySQL

● NoSQL: MongoDB, DynamoDB

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● Queues: Kafka, RabbitMQ, AWS SQS

 

3. Cloud & Infrastructure: 

● Cloud: AWS (primary), GCP/Azure (nice to have)

● Compute: EC2, Lambda, ECS, EKS

● Infrastructure: Terraform, CloudFormation

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4. Monitoring & Operations 

● Monitoring: Datadog, New Relic, CloudWatch

● Logging: ELK Stack, CloudWatch Logs

● Error Tracking: Sentry, Rollbar

● APM tools

 

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● Secrets: AWS Secrets Manager, Vault

● Security: Encryption (at rest/in transit), TLS/SSL, IAM

 


What We’re Looking For:

1. Must-Haves

● 5+ years in backend engineering with strong system design expertise

● Experience building scalable systems from scratch

● Expert-level proficiency in at least one backend stack (Node, Python, Go, Java)

● Deep understanding of distributed systems and microservices

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● Prior senior technical leadership experience

 

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● Product Impact: Your architecture directly powers millions of users

● Leadership Opportunity: Shape engineering culture and direction

● Learning Environment: Stay at the forefront of backend engineering

● Backed by AWS, Microsoft, Google

 

Location & Work Culture:

● Location: Bengaluru

● Schedule: 6 days a week, (5 days-in-office, Saturdays WFH)

● Culture: Builder mindset, strong ownership, technical excellence

● Team: Small, highly skilled backend and infra team

● Resources: AWS credits, latest tooling, learning budget

 

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  • Willingness to learn new languages and methodologies.


What would be a bonus

  • Experience in production environments with large data sets
  • Experience in scaling systems to millions of users.
  • Work experience in a fast-growth startup
  • Experience in DevOps tools but not limited to Docker, Kubernetes
  • Experience in Gunicorn and Nginx
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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