Sarkhej Gujarat Devops engineer* Jobs – 135 Open Jobs Today

AI Engineer
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- Full-time
- Master's degree
- SQL
- JavaScript
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Functional Test Engineer / QA Engineer
Zymr —Ahmedabad, Gujarat
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- Azure
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Sr. QA Automation Engineer
Vedlogic —Ahmedabad, Gujarat
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- Azure
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QA Engineer with AI testing experience
NicheTech Computer Solutions —Ahmedabad, Gujarat
- Full-time
- Azure
- Computer Science
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Senior Automation QA Engineer
Anblicks —Ahmedabad, Gujarat
- Azure
- DevOps
- Master's degree
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Senior Java Developer
Dweck Enterprise —Ahmedabad, Gujarat
- ₹30,000 - ₹65,000 a month
- Full-time
- Java
- Databases
- AWS
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Senior QA Engineer – Salesforce CRM Expert
Techies Infotech —Ahmedabad, Gujarat
- Azure
- Salesforce
- DevOps
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Senior Backend Engineer
INFOCUSP INNOVATIONS —Ahmedabad, Gujarat
- B.Sc
- DevOps
- AWS
Senior QA Engineer (Automation & Manual Testing)
Sigma Infosolutions —Ahmedabad, Gujarat
- Azure
- DevOps
- Java
Sr. Engineer I - Cloud Engg & AI
Anblicks —Ahmedabad, Gujarat
- Azure
- DevOps
- Windows
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Azure DevOps - Lead
Valtech Group —Ahmedabad, Gujarat
- Azure
- DevOps
- English
Senior Full Stack Developer (Java Spring Boot)
Unidoc Healthcare Private Limited —Ahmedabad, Gujarat
- ₹8,00,000 - ₹12,00,000 a year
- Full-time
- Java
- AWS
- JavaScript
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Lead Software Engineer (On-Site)
Tech Holding —Ahmedabad, Gujarat
- Azure
- Databases
- AWS
- Health insurance
- Work from home
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Lead Engineer
Accumn —Ahmedabad, Gujarat
- Full-time
- Azure
- Computer Science
- DevOps
Snowflake Data Engineer
Anblicks —Ahmedabad, Gujarat
- Azure
- DevOps
- SQL
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Director of Engineering (On-Site)
Tech Holding —Ahmedabad, Gujarat
- Azure
- Management
- Computer Science
- Health insurance
- Work from home
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Engineering Manager
Musikaar —Ahmedabad, Gujarat
- Full-time
- Management
- System design
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Senior Automation Test Engineer
Softura —Ahmedabad, Gujarat
- Azure
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- APIs
Senior Data Engineer
Creole Studios —Ahmedabad, Gujarat
- Full-time
- Azure
- DevOps
- SQL
QA Automation Engineer - WordPress
E2M SOLUTIONS PRIVATE LIMITED —Ahmedabad, Gujarat
- Azure
- SQL
- JavaScript

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AI Engineer

DX Factor
Ahmedabad, Gujarat

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Job details

Full-time
8 hours ago

Qualifications

CI/CD
Node.js
Law
React
Git
Master's degree
SQL
JavaScript
PostgreSQL
Continuous integration
Redis
REST
GitHub
APIs
Linux
AI
NGINX

Full job description

Role OverviewWe are building an AI-powered personal-growth companion — a conversational agent that blends large language models with psychometric and personalization signals to have genuinely helpful, emotionally intelligent conversations. We are looking for an AI Engineer who is equal parts applied LLM specialist and pragmatic full-stack builder: someone who can design retrieval and memory systems, craft and evaluate prompts, and ship the production Node.js services that power them.You will own features end to end — from the model layer and data pipelines to the APIs the product runs on — and have a direct hand in how the assistant thinks, remembers, and responds.What You Will Do

Design, build, and optimize LLM-powered features against a provider-agnostic client (OpenAI and Anthropic), including streaming responses, model routing, and cost/latency tuning.
Build and improve our retrieval-augmented generation (RAG) and long-term memory systems — embeddings, vector search, semantic/episodic recall, intent classification, and context assembly. Own prompt engineering and evaluation: structure system prompts, design conversation modes, prevent regressions, and build lightweight evals to measure response quality and safety.
Develop and maintain backend services and APIs in Node.js/Express, backed by PostgreSQL (with pgvector) and Redis.
Build asynchronous pipelines (BullMQ workers) for summarization, memory extraction, embeddings generation, and scheduled jobs.
Integrate real-time voice experiences (WebRTC + realtime speech APIs) and push notifications.
Contribute to the React frontend where features span the full stack.
Care about AI safety, privacy, and responsible design — especially in an emotionally sensitive domain — including crisis-handling logic and guardrails.
Write clean, observable, production-grade code; participate in deploys (PM2/Nginx) and incident debugging.

Our Tech Stack

AI / LLM: OpenAI (Responses, Embeddings, Realtime) and Anthropic (Messages) via a unified client; RAG with vector embeddings & cosine similarity; prompt engineering; semantic + episodic memory.
Backend: Node.js, Express, PostgreSQL + pgvector, Redis, BullMQ, JWT/bcrypt auth, Helmet, rate limiting, node-cron, web-push.
Frontend: React (CRA), React Router, Chart.js. Infra/Ops: PM2, Nginx, Linux, Git/GitHub.
Real-time: WebRTC + realtime speech APIs.

Must Have Qualifications

[3+] years building production software, with hands-on experience shipping LLM-powered features (designing the surrounding system, not just calling an API once).
Strong Node.js / JavaScript and REST API design; solid SQL/PostgreSQL fundamentals.
Practical experience with RAG, embeddings, and vector databases/search (pgvector, Pinecone, Weaviate, or similar).
Demonstrated skill in prompt engineering and an instinct for evaluating and improving model output quality.
Comfort with async/queue-based architectures (BullMQ, Redis, or equivalents) and caching. Sound judgment around AI safety, latency/cost trade-offs, and data privacy.
Ability to work across the stack and own features independently.

Nice To Have

Experience with multiple LLM providers and building provider-agnostic abstractions.
Real-time / streaming experience (WebRTC, SSE, realtime voice).
React frontend experience.
Familiarity with evals / LLM observability tooling. Background or genuine interest in psychology, coaching, mental health, or behavior design. DevOps comfort (PM2, Nginx, Linux, CI/CD).

What Success Looks Like (First 3–6 Months)

Ship measurable improvements to response quality, memory accuracy, or latency/cost.
Strengthen our retrieval and evaluation pipelines so we can iterate on the model layer with confidence.
Help raise the bar on safety and reliability in a sensitive, user-facing product.

Who You Are Curious, product-minded, and pragmatic. You can move fast without breaking trust, you sweat the details in user-facing AI behavior, and you care about building something that genuinely helps people.

Work Location: In person

Quick apply

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