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NodeJs Developer
NodeJs Developer

NodeJs Developer at Saarthi.ai · Bengaluru (Bangalore) · 1 - 9 years · ₹10L - ₹25L / yr · Bootstrapped · Posted 11 Oct 2022

Saarthi.ai's logo

NodeJs Developer

Prabhudev S's profile picture
Posted by Prabhudev S
1 - 9 yrs
₹10L - ₹25L / yr
Bengaluru (Bangalore)
Skills
skill iconNodeJS (Node.js)
skill iconMongoDB
skill iconExpress

Your Opportunity

You will primarily be responsible for implementing features & building platforms to enable on-device and device/server-side combined ML workflows. You will possess strong skills in object-oriented software design and programming. You are excited about developing new features, maintaining existing code, fixing bugs, and contributing to overall system design.

 

Your Impact

To design, architect, develop and maintain the backend for AI products by working closely with the Engineering Team. To ensure successful consumption of Saarthi.ai technology by APIs, SDKs, or Applications, thereby enabling productization and monetization of the AI solutions.

 

What You’ll Do

· Work with development teams and product managers to ideate software solutions

· Design server-side architecture

· Along with SAAS application deliverables even the client-side deliverables need to be taken care

· Develop and manage well-functioning databases and applications

· Write effective APIs

· Test software to ensure responsiveness and efficiency

· Troubleshoot, debug and upgrade software

· Create security and data protection settings

· Build features and applications with a mobile responsive design

· Write technical documentation

· Work with data scientists and analysts to improve software

 

What You Bring

· Proven experience as a Back-End Developer or similar role.

· Experience developing desktop applications.

· Strong working experience with back-end development using Node.JS, JavaScript.

· Strong knowledge of databases (MongoDB, PostgreSQL).

· Experience with System Design and Architecture.

· Familiarity with common stacks.

· Familiarity with Parallel Threading, Concurrent calling and Aggregation Queries.

· Ability to write quality unit tests

· Setting up CI/CD, and integrating with logging and monitoring systems for the products or platforms

· Excellent communication and teamwork skills.

· Degree in Computer Science, Statistics or relevant field

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About Saarthi.ai

Founded :
2017
Type :
Products & Services
Size :
20-100
Stage :
Bootstrapped

About

We humanize interactions between users and enterprises. A large underserved section of the society today suffers from technological complexity and service unavailability in their native languages. Saarthi is India’s first cognitive language understanding engine for enterprises to address 80% of the queries with customer service automation via multilingual conversational agents, besides increasing efficiency in sales, marketing and lead generation processes, via AI chatbots for business. We cater to 16 Indic and 6 Non-Indic languages and offer an end-to-end Contact Center Automation suite for enterprises.
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Connect with the team

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Sangram Sabat
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Prabhudev S

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AI leverage: 

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Shalini Jaiswal
Posted by Shalini Jaiswal
icon

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

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Full Stack Developer


Experience: 3 to 5 Years

Location: Hyderabad

Interview Mode: Face-to-Face (F2F)

Work Mode: Hybrid

Employment Type: Full-Time


Note: Immediate joiners or candidates with a notice period of up to 15 days are preferred. We are only considering candidates who can attend a face-to-face interview at our office.



Role Summary;


We are looking for a Full Stack Developer (React.js + Python + AWS + AI) to design, develop, and maintain scalable web applications and AI-powered solutions. The ideal candidate must have strong experience in React.js, Python, AWS, and AI development. Hands-on AI development experience is mandatory for this role.


Mandatory AI Skill Requirement - AI development experience is mandatory. Candidates without hands-on AI development experience will not be considered.


Candidates must have practical experience in one or more of the following:


  • Building AI-powered applications.
  • Working with Large Language Models (LLMs).
  • Prompt Engineering.
  • Retrieval-Augmented Generation (RAG).
  • AI agent development using LangChain, LangGraph, or similar frameworks.
  • Integrating AI models through APIs such as OpenAI, Anthropic, or Gemini.
  • Developing AI-enabled workflows and intelligent business applications.

Note: Experience using AI coding assistants (ChatGPT, GitHub Copilot, Claude, Gemini, etc.) alone does not meet this requirement. Candidates must have actual AI application development experience.


Key Responsibilities

  • Develop and maintain full-stack web applications.
  • Build responsive frontend applications using React.js.
  • Develop backend REST APIs using Python (FastAPI / Django / Flask).
  • Design, develop, and integrate AI-powered features into applications.
  • Develop and deploy applications on AWS cloud services.
  • Work with relational databases (MySQL / PostgreSQL / SQL Server).
  • Integrate frontend and backend components.
  • Follow Agile/Scrum development processes.
  • Write clean, maintainable, and production-ready code.
  • Collaborate with cross-functional teams to deliver scalable and high-quality solutions.


Required Skills (Mandatory)

  • 3 to 5 years of Full Stack development experience.
  • Strong experience in React.js.
  • Strong backend development experience in Python.
  • Hands-on experience with AWS cloud services.
  • Hands-on AI development experience (Mandatory).
  • Experience with LLMs, Prompt Engineering, RAG, LangChain, LangGraph, or similar AI frameworks.
  • REST API development experience.
  • Strong SQL database experience.
  • Git and Agile development workflow.
  • Good understanding of software design principles and best practices.


Good to Have

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  • Kubernetes
  • Experience with vector databases and AI model integrations


Preferred Qualifications

  • Bachelor's degree in Computer Science or a related field.
  • Strong problem-solving and analytical skills.
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  • Passion for learning new technologies, especially AI, cloud technologies, and modern software development.



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DurgaPrasad Sannamuri
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Role Description

Software Engineer is a full-time role based in Hyderabad with Onsite work arrangement. This role involves designing, developing, and maintaining back-end services and APIs, ensuring high performance, scalability, and security across platforms. The engineer will participate in architecture discussions, code reviews, and technical decision-making, collaborating closely with product owners, QA, and cross-functional teams. Daily responsibilities include writing clean, maintainable code, troubleshooting complex issues, improving system performance, and contributing to best practices, documentation, and engineering standards. The role also includes mentoring less experienced engineers and supporting continuous improvement in development processes and tooling.


Key Requirements/Skills

4-7 years of overall experience in software development with strong expertise in building scalable web & mobile applications.

  • Strong technical decision-making ability, including architecture design, technology selection and implementation of best practices.
  • Front-end expertise: Strong experience in React, JavaScript, TypeScript, NextJS and building responsive and user-friendly UI/UX.
  • Back-end development: Hands-on experience with Node.js, Express JS, Nest JS, RESTful APIs, API design, and server-side architecture.
  • Databases : Good Hands on Exprience in both SQL(PostgreSQL Preferred) & No SQL Databases
  • Gen AI Expertise: Experience in building RAG & LLM Systems, implementing AI/ML models and integrating AI-based solutions to solve business problems. Expereince with Langchain, langgraph and Vector DBs, Voice AI(STT, TTS) Models and experience in using Open AI Tools (Calude, Cursor, etc.)
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  • Code quality & best practices: Experience in code reviews, Git version control, and ensuring maintainable and secure code.
  • Team leadership: Ability to mentor developers, guide technical discussions, and collaborate across teams.
  • Strong communication skills to effectively interact with technical and non-technical stakeholders.
  • Experience working in high-compliance environments such as healthcare systems is a plus.
  • Certifications in AWS & Other skills and technologies will be an added advantage.


Educational Qualification

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About the Role


Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies. We are hiring a Backend Engineer for a dedicated client engagement building an AI-powered application builder platform.


The backend is the operational core of the product: it manages user projects and sessions, coordinates long-running AI agent workloads, maintains project state, and serves as the integration layer between the frontend, the AI system, and the underlying infrastructure.


The mandatory requirement is hands-on production experience shipping Node.js services, with end-to-end ownership of API design, data modelling, and at least one production system involving background job processing or event-driven patterns.




Responsibilities


API and service development: Design and build REST APIs in Node.js with TypeScript. Cover authentication, session management, input validation, structured error handling, streaming responses (SSE, WebSockets), and rate limiting. Maintain clean API contracts that the frontend and AI system can rely on.


Database design and management: Own PostgreSQL schema design for product domains including user accounts, projects, file trees, session state, and generated artefacts. Write efficient queries, manage migrations, and optimise for read patterns that serve a real-time editor experience.


Caching strategy: Implement and maintain caching with Redis for session data, project state, and frequently read configuration. Design cache invalidation logic that keeps the editor experience consistent without stale reads.


Queue and background job management: Implement and operate background job infrastructure using BullMQ or equivalent. AI agent runs are long-running and stateful; handle retries, failure states, priority queues, and concurrency limits.


AI system integration: Build the integration layer between the backend and the AI agent system. Manage job dispatch, result handling, streaming output to the frontend, and error propagation.


Multi-tenancy and access control: Implement tenant data isolation, RBAC, and resource ownership enforcement across all API surfaces.


Observability and reliability: Instrument services with structured logging, metrics, and tracing. Write defensive code with sensible timeouts, fallback behaviour, and circuit breaking on external dependencies.


Testing and code quality: Write unit and integration tests for the services you ship. Review the work of peers and contribute to shared engineering conventions.




Requirements


• Hands-on production Node.js experience (mandatory) — must have personally shipped at least one feature area end to end in a production Node.js service, owning API design, data modelling, and testing.


• 3 to 5 years of professional backend engineering experience. Candidates with slightly less time but strong demonstrated ownership are welcome to apply.


• Strong Node.js and TypeScript. Production experience with Express, NestJS, or Fastify. Solid with async patterns, streaming, error handling, and building services that run reliably under sustained load.


• PostgreSQL depth. Schema design, query writing, indexing, and migrations on at least one production system.


• Redis and caching. Production experience using Redis for caching and session management. Understands cache invalidation trade-offs.


• Queue and background job systems. Hands-on with BullMQ, RabbitMQ, SQS, or equivalent. Experience managing retries, dead-letter queues, job priority, and concurrency control.


• AWS working knowledge. Comfortable with EC2, S3, RDS, SQS, and IAM. Familiar with Docker and basic deployment and environment management.


• Strong written and spoken English. Able to communicate clearly with engineers across disciplines and write precise technical documentation.




Nice to Have


Experience integrating with AI or LLM services (streaming responses, structured outputs, retry patterns); WebSocket or SSE implementation for real-time features; multi-tenant SaaS product experience; GraphQL; OpenTelemetry instrumentation; prior work on developer tools or editor-style products.

Read more
Wohlig Transformations Pvt Ltd
Apoorva Lakshkar
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4 - 6 yrs
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Generative AI

Job Overview

Architect and build scalable, high-performance backend systems while working on mission-critical platforms that process real-time market data and portfolio analytics. The role also involves leveraging Generative AI capabilities to enhance data intelligence, automation, and user-facing features, while ensuring regulatory compliance and secure financial transactions.


Key Responsibilities

  • Design, develop, and maintain scalable backend services and APIs using NodeJS and Python
  • Build event-driven architectures using RabbitMQ and Kafka for real-time data processing
  • Develop and manage data pipelines integrating PostgreSQL and BigQuery for analytics and warehousing
  • Integrate and deploy Generative AI models (LLMs, embeddings, AI APIs) into backend systems for automation, insights, and intelligent workflows
  • Design AI-powered features such as recommendation systems, document processing, or conversational interfaces
  • Ensure system reliability, security, and low-latency performance for mission-critical systems
  • Lead technical design discussions, conduct code reviews, and mentor junior engineers
  • Optimize database queries, implement caching strategies, and improve overall system performance
  • Collaborate with cross-functional teams to deliver end-to-end product features
  • Implement monitoring, logging, and observability solutions


Required Skills and Qualifications

  • 2+ years of professional backend development experience
  • Strong expertise in NodeJS and Python for production-grade applications
  • Proven experience building RESTful APIs and microservices architectures
  • Experience working with Generative AI frameworks/APIs (OpenAI, LangChain, vector databases, prompt engineering)
  • Understanding of integrating LLMs into production systems (RAG, embeddings, fine-tuning basics)
  • Strong proficiency in PostgreSQL, including query optimization and schema design
  • Hands-on experience with RabbitMQ and Kafka
  • Experience with BigQuery or similar data warehousing solutions
  • Solid understanding of distributed systems, scalability patterns, and high-traffic applications
  • Strong knowledge of authentication, authorization, and security best practices
  • Experience with Git, CI/CD pipelines, and modern development workflows
  • Excellent problem-solving and debugging skills
  • Exposure to fintech or financial services, cloud platforms (GCP/AWS/Azure), Docker/Kubernetes, caching tools (Redis/Memcached), and regulatory requirements (KYC, compliance, data privacy) is a plus


Apply directly at: https://wohlig.keka.com/careers/jobdetails/136351

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AI-driven multimedia,content analysis,monetization platform
AI-driven multimedia,content analysis,monetization platform
Agency job
via Cutshort Lightning by Ariba Khan
Remote only
1 - 3 yrs
Upto ₹16L / yr (Varies
)
skill iconPython
RESTful APIs
JSON
SQL
skill iconGit

About the company

We are an AI-powered media intelligence platform that transforms video and audio archives into searchable, reusable and monetizable assets.

The platform combines media processing, search, multimodal AI and large-scale content understanding to help users discover meaningful moments within vast media libraries. We are an early-stage startup where engineers work across disciplines and contribute directly to

products used by customers.


Role Overview

We are looking for an Assistant Software Engineer who wants to grow rapidly across backend engineering, AI integration, media processing and platform operations.


You will work closely with the AI, platform and product engineers to build the supporting systems that make our AI capabilities usable, testable and reliable. You will help bridge the gap between models, services, data and product workflows while learning from experienced engineers across multiple disciplines.


What You Will Work On

AI Operations & Evaluation (Approx. 50%)

  • Integrate AI services into backend workflows.
  • Validate AI outputs against expected results.
  • Build scripts and tools for evaluation and testing.
  • Maintain datasets used to assess model quality.
  • Support retrieval and search workflows.
  • Investigate incorrect or unexpected AI outputs.

Media & Data Processing (Approx. 35%)

  • Develop and maintain media-processing jobs.
  • Support subtitle, transcript and metadata pipelines.
  • Process and validate structured AI outputs.
  • Assist with data preparation and annotation workflows.
  • Build automation around ingestion and content processing.

Platform & Engineering Operations (Approx. 15%)

  • Support deployment and monitoring workflows.
  • Maintain development environments and internal tools.
  • Assist with CI/CD automation.
  • Help improve observability and operational dashboards.
  • Support troubleshooting and production investigations.


What Success Looks Like

Within your first six months:

  • AI evaluation workflows are easier to run and maintain.
  • Model outputs can be tested and verified consistently.
  • Media-processing jobs are reliable and observable.
  • Engineering teams spend less time on repetitive operational tasks.
  • Documentation and internal tooling improve team productivity.


Requirements

Must Have

  • Good knowledge of Python.
  • Experience building meaningful personal, academic or professional software projects.
  • Understanding of REST APIs and JSON.
  • Working knowledge of SQL and relational databases.
  • Familiarity with Git and Linux.
  • Ability to debug issues systematically.
  • Strong curiosity and willingness to learn unfamiliar technologies.
  • Good written and verbal communication skills.

Nice to Have

  • FastAPI or Flask.
  • PostgreSQL.
  • Docker.
  • Background workers or asynchronous processing.
  • Computer vision, LLMs or AI APIs.
  • Vector search, embeddings or RAG.
  • FFmpeg or media-processing tools.
  • AWS, Azure or GCP.
  • JavaScript or TypeScript.
  • CI/CD tooling.


We Value

  • Curiosity over credentials.
  • Ownership over job titles.
  • Learning over knowing everything.
  • Engineers who ask good questions.
  • Engineers who can explain how things work.
  • People who are comfortable working across multiple disciplines.


Why Join Us

  • Work directly with experienced AI, platform and product engineers.
  • Gain exposure to media AI, search and retrieval systems.
  • Build real production systems from an early stage.
  • Grow into backend, AI, platform or full-stack engineering paths.
  • Help shape a product from its earliest stages.
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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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