Up Sr. full stack engineer nodejs, react native Jobs – 95 Open Jobs Today

AI Engineering Lead
Acme Services —Noida, Uttar Pradesh
- ₹30,00,000 - ₹35,00,000 a year
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
1d
Full Stack Developer
BetterDrones —Noida Sector 62, Noida, Uttar Pradesh
- From ₹55,000 a month
- Full-time
- Azure
- Computer Science
- Java
- Health insurance
- Paid time off
Quick apply
7d
React Native Developer
RNF Technologies —Noida, Uttar Pradesh
- Java
- JavaScript
- APIs
React Native Developer
HashTag Labs —Lucknow, Uttar Pradesh
- Full-time
- JavaScript
- APIs
- Communication skills
React Native Developer
XenelSoft Technologies —Noida, Uttar Pradesh
- Monday to Friday
- Master's degree
- Bachelor's degree
- JavaScript
React Native Developer
SNT Infotech —Noida, Uttar Pradesh
- Master's degree
- Bachelor's degree
- JavaScript
React Native Developer
AppSquadz Software Pvt. Ltd —Noida, Uttar Pradesh
- ₹30,000 - ₹40,000 a month
- Full-time
- JavaScript
- APIs
- In-person
Quick apply
8d
Full Stack Developer
Value Innovation Labs —Noida, Uttar Pradesh
- JavaScript
- APIs
React Native Developer
Techugo —Noida, Uttar Pradesh
- JavaScript
- HTML
Senior Software Engineer
PanScience Innovations LLP —Lucknow, Uttar Pradesh
- ₹15,00,000 - ₹20,00,000 a year
- Full-time
- Azure
- Software troubleshooting
- DevOps
- Health insurance
Quick apply
React-Native developer
Capanicus —Noida, Uttar Pradesh
- Email
- JavaScript
- APIs
- Communication skills
Senior Frontend Engineer (SFCC & PWA Kit)
KSOLVES —Noida, Uttar Pradesh
- Salesforce
- APIs
- Agile
React Native Developer
Tech CASA —Noida, Uttar Pradesh
- Full-time
- Java
- JavaScript
- APIs
Senior Technical Lead
HCLTech —Lucknow, Uttar Pradesh
- Full-time
- Azure
- Software troubleshooting
- SQL
7d
React Native Developer
Yuvisha Technologies —Noida, Uttar Pradesh
- JavaScript
- HTML
UI - App Builder
VML/WPP Enterprise Solutions —Noida, Uttar Pradesh
- Salesforce
- AWS
- JavaScript
Quick apply
16h
ServiceNow Technical Lead
DXC Technology —Noida, Uttar Pradesh
- Full-time
- Computer Science
- DevOps
- System design
2d
React Native Mobile App Developer
Dreamsol —Noida, Uttar Pradesh
- Email
- Computer Science
- Bachelor's degree
- JavaScript
Full Stack Developer (python)
GC Cloud Info System Pvt.Ltd. —Lucknow, Uttar Pradesh
- ₹30,000 - ₹55,000 a month
- Full-time
- Azure
- AWS
- JavaScript
Quick apply
Senior Software Engineer
Moody's —Noida, Uttar Pradesh
- Computer Science
- Java
- Master's degree

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AI Engineering Lead

Acme Services -
Noida, Uttar Pradesh

Quick apply

Job details

Permanent | Full-time
₹30,00,000 - ₹35,00,000 a year
1 day ago

Qualifications

BCS
CI/CD
Azure
Node.js
Law
Computer Science
MCP
React
Git
Master's degree
AWS
Docker
Bachelor's degree
JavaScript
Continuous integration
SDKs
REST
GitHub
APIs
AI
TypeScript
Communication skills
Python

Full job description

Key Responsibilities

1. Rapid Prototyping & Application Development

 Build AI applications, copilots, and agentic workflows end-to-end – UI, APIs, business

logic, and model integration.

 Use rapid development tools (Cursor, Claude Code, Replit, Google AI Studio) to

compress build cycles and iterate quickly with users and stakeholders.

 Turn loosely-defined requirements into working demos and prototypes within days, then

refine based on feedback.

2. Agentic & GenAI Engineering

 Develop with agentic SDKs and frameworks – OpenAI Agents SDK, Anthropic Claude

(Agent SDK / API), Google Gemini & ADK, LangChain/LangGraph.

 Implement RAG pipelines, tool/function calling, structured outputs, and prompt

engineering with systematic testing and evals.

 Integrate models and agents with enterprise data sources and APIs, handling auth, rate

limits, and error paths properly.

3. Engineering Quality & Productionization

 Write clean, testable, well-documented code; use Git, containers, and CI/CD as standard

practice.

 Partner with Forward Deployment Engineers and platform teams to take successful

prototypes into production, adding monitoring, guardrails, and cost controls.

 Balance speed and quality pragmatically – knowing when to hack and when to harden.

4. Collaboration & Continuous Learning

 Work closely with architects, data scientists, and designers; contribute to demos,

accelerators, and internal hackathons.

 Stay current with the fast-moving model and tooling landscape, and share learnings

across the team.

 Evangelize AI-assisted development practices that raise the whole team’s velocity.

Technical Skills & Tooling (Hands-On)

 Rapid development tools as daily drivers: Cursor, Claude Code, Replit, Google AI Studio,

GitHub Copilot – demonstrated ability to ship real software with AI-assisted workflows.

 Agentic SDKs & frameworks: hands-on experience with OpenAI Agents SDK, Anthropic

Claude APIs/Agent SDK, Google Gemini/ADK, and LangChain or LangGraph.

 Strong programming skills in Python and/or TypeScript/JavaScript; comfort building full-

stack prototypes (React/Node) and REST APIs.

 LLM application patterns: prompt engineering, function/tool calling, structured outputs,

RAG with vector stores (pgvector, Pinecone, FAISS, or similar).

 Testing & observability basics: writing evals, using tracing tools (LangSmith, Langfuse, or

similar), and monitoring cost/latency/quality.

 Engineering foundations: Git, Docker, CI/CD, and at least one cloud (AWS/Azure/GCP).

 Good to have: voice/multimodal experience (ElevenLabs, HeyGen), MCP-based tool

integration, fine-tuning or open-source LLM experience.

Key Outcomes & Success Metrics

 Speed of delivery: consistent idea-to-prototype turnaround in days and prototype-to-

production in weeks.

 Volume and quality of shipped work: applications, demos, and accelerators that are

actually used by stakeholders and internal teams.

 Reliability of what ships: low defect rates, sensible test/eval coverage, and predictable

cost/latency behavior.

 Contribution to reuse: components, patterns, and utilities adopted by other engineers.

 Team velocity uplift through shared AI-assisted development practices.

Required Experience & Qualifications

 4–8 years of software engineering experience, with 1–2+ years building GenAI/LLM

applications hands-on.

 A portfolio of shipped AI work – products, prototypes, GitHub projects, or demos you can

walk us through.

 Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent

practical experience).

 Demonstrated fluency with AI-native development tools (Cursor, Claude Code, Replit, AI

Studio) in real projects – not just experimentation.

 Strong problem-solving skills and product sense – you care about whether the thing you

built actually gets used.

 Clear written and verbal communication; comfortable demoing your work to technical and

business audiences.

Behavioral Expectations

 Builder’s mindset – bias toward shipping, learning from real usage, and iterating.

 Relentless curiosity – self-driven learning in a landscape where the best tool changes every

quarter.

 Pragmatic judgment on speed vs. quality trade-offs.

 Low-ego collaboration – gives and takes feedback well, helps teammates move faster.

 Responsible AI awareness – builds with security, privacy, and ethical use in mind from day

Pay: ₹3,000,000.00 - ₹3,500,000.00 per year

Work Location: In person

Quick apply

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