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Chatbot Developer
Chatbot Developer
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Chatbot Developer

Ashish Sharma's profile picture
Posted by Ashish Sharma
3 - 4 yrs
₹5L - ₹10L / yr
Gurugram
Skills
Natural Language Processing (NLP)
skill iconPython
rasa
TensorFlow
Job Description :

- Developing chatbots and voice assistants on various platforms for diverse business use-cases

- Work on a chatbot framework/architecture using an open-source tool or library

- Implement Natural Language Processing (NLP) for chatbots

- Integration of chatbots with Management Dashboards and CRMs

- Resolve complex technical design issues by analyzing the logs, debugging code, and identifying technical issues/challenges/bugs in the process

- Deploy applications using CI/CD tools

- Designing and building highly scalable AI and ML solutions

- Ability to understand business requirements and translate them into technical requirements

- Open-minded, flexible, and willing to adapt to changing situations

- Ability to work independently as well as on a team and learn from colleagues

- High adaptability in a dynamic start-up environment.

- Experience with bot multi-lingual utilization (preferred)

- Experience with bot human escalation

- Ability to optimize applications for maximum speed and scalability

- Come up with new approaches and ideas to improve the current performance of Chatbots across multiple domains and build a highly personalized user experience.

QUALIFICATIONS : B. Tech/ B.E. /M. Tech or a related technical discipline from reputed universities

SKILLS REQUIRED :

- Minimum 3+ years- of experience in Chatbot Development using the Rasa open-source framework.

- Hands-on experience building and deploying chatbots.

- Experience in Conversational AI platforms for enterprises using ML and Deep Learning.

- Experience with both text to speech and vice versa transformation incorporation.

- Should have a good understanding of various Chatbot frameworks/platforms/libraries.

- Build and evolve/train the NLP platform from natural language text data being gathered from users on a daily basis.

- Code using primarily Python.

- Experience with bots for platforms like Facebook Messenger, Slack, Twitter, WhatsApp, etc.

- Knowledge of digital assistants such as Amazon Alexa, Google Assistant, etc.

- Experience in applying different NLP techniques to problems such as text. classification, text summarization, question & answering, information retrieval, knowledge extraction, and conversational bots design potentially with both traditional & Deep Learning

- Techniques - NLP Skills/Tools: NLP, HMM, MEMM, P/LSA, CRF, LDA, Semantic Hashing, Word2Vec, Seq2Seq, spaCy, Nltk, Gensim, Core NLP, NLU, NLG, etc.

- Should be familiar with these terms: Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context.

- Knowledge of SQL and NoSQL Databases such as MySQL, MongoDB, Cassandra, Redis, PostgreSQL

- Experience with working on public cloud services such as Digital Ocean, AWS, Azure, or GCP.

- Knowledge of Linux shell commands.

- Integration with Chat/Social software like Facebook Messenger, Twitter, SMS.

- Integration with Enterprise systems like Microsoft Dynamics CRM, Salesforce, Zendesk, Zoho, etc.

MUST HAVE :

- Strong foundation in the python programming language.

- Experience with various chatbot frameworks especially Rasa and Dialogflow.

- Strong understanding of other AI tools and applications like TensorFlow, Spacy, and Google Cloud ML is a BIG plus.

- Experience with RESTful services.

- Good understanding of HTTPS and Enterprise security.
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Shubham Vishwakarma's profile image

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 DolphinChat

Founded :
2017
Type :
Product
Size :
20-100
Stage :
Raised funding

About

Home | DolphinChat
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Connect with the team

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Ashish Sharma
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Ashwin Kain
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Kusha Kohli
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Job Details

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

· Expert-level proficiency in Node.js

· Deep understanding of distributed systems

· Strong NoSQL design skills

· Hands-on AWS cloud experience

· Proven leadership and mentoring capability

· Preferred candidates from SAAS/Software/IT Services based startups or scaleup companies

 

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

● Architect multi-tenant systems with strict data isolation

● Maintain architectural documentation and technical specs

2. Core Backend Services

● 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

● Create real-time collaboration features via WebSockets/SSE

3. Data Architecture & Databases

● Design scalable schemas for 3D metadata, XR sessions, and analytics

● Model complex product catalogs with variants and hierarchies

● Implement Redis-based caching strategies

● Build search and indexing systems (Elasticsearch/Algolia)

● Architect ETL pipelines and data warehouses

● Implement sharding, partitioning, and replication strategies

● Design backup, restore, and disaster recovery workflows

4. Scalability & Performance

● Build systems designed for 10x–100x traffic growth

● Implement load balancing, autoscaling, and distributed processing

● Optimize API response times and database performance

● Implement global CDN delivery for heavy 3D assets

● Build rate limiting, throttling, and backpressure mechanisms

● Optimize storage and retrieval of large 3D files

● Profile and improve CPU, memory, and network performance

5. Infrastructure & DevOps

● Architect AWS infrastructure (EC2, S3, Lambda, RDS, ElastiCache)

● Build CI/CD pipelines for automated deployments and rollbacks

● Use IaC tools (Terraform/CloudFormation) for infra provisioning

● Set up monitoring, logging, and alerting systems

● Use Docker + Kubernetes for container orchestration

● Implement security best practices for data, networks, and secrets

● Define disaster recovery and business continuity plans

6. Integration & APIs

● Build integrations with Shopify, WooCommerce, Magento

● Design webhook systems for real-time events

● Build SDKs, client libraries, and developer tools

● Integrate payment gateways (Stripe, Razorpay)

● Implement SSO and OAuth for enterprise customers

● Define API versioning and lifecycle/deprecation strategies

7. Data Processing & Analytics

● Build analytics pipelines for engagement, conversions, and XR performance

● Process high-volume event streams at scale

● Build data warehouses for BI and reporting

● Develop real-time dashboards and insights systems

● Implement analytics export pipelines and platform integrations

● Enable A/B testing and experimentation frameworks

● Build personalization and recommendation systems

 

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

● Caching: Redis, Memcached

● Search: Elasticsearch, Algolia

● Storage/CDN: AWS S3, CloudFront

● Queues: Kafka, RabbitMQ, AWS SQS

 

3. Cloud & Infrastructure: 

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

● Compute: EC2, Lambda, ECS, EKS

● Infrastructure: Terraform, CloudFormation

● CI/CD: GitHub Actions, Jenkins, CircleCI

● Containers: Docker, Kubernetes

 

4. Monitoring & Operations 

● Monitoring: Datadog, New Relic, CloudWatch

● Logging: ELK Stack, CloudWatch Logs

● Error Tracking: Sentry, Rollbar

● APM tools

 

5. Security & Auth

● Auth: JWT, OAuth 2.0, SAML

● 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

● Strong SQL/NoSQL design skills with performance optimization

● Hands-on AWS cloud experience

● Ability to write high-quality production code daily

● Experience building and scaling RESTful APIs

● Strong understanding of caching, sharding, horizontal scaling

● Solid security and best-practice implementation experience

● Proven leadership and mentoring capability


2. Highly Desirable

● Experience with large file processing (3D, video, images)

● Background in SaaS, multi-tenancy, or e-commerce

● Experience with real-time systems (WebSockets, streams)

● Knowledge of ML/AI infrastructure

● Experience with HA systems, DR planning

● Familiarity with GraphQL, gRPC, event-driven systems

● DevOps/infrastructure engineering background

● Experience with XR/AR/VR backend systems

● Open-source contributions or technical writing

● Prior senior technical leadership experience

 

Technical Challenges You’ll Solve:

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● Serving XR content globally with ultra-low latency

● Scaling from thousands to millions of daily requests

● Efficiently handling CPU/GPU-heavy workloads

● Architecting multi-tenancy with complete data isolation

● Managing billions of analytics events at scale

● Building future-proof APIs with backward compatibility

 

Why company:

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● Hands-On Impact: Design and code mission-critical infrastructure

● Diverse Problems: APIs, infra, data, ML, XR, asset processing

● Massive Scale Opportunity: Build systems for exponential growth

● Modern Stack and best practices

● 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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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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