Up Engineer fresher Jobs – 135 Open Jobs Today

RPA Developer - Core
HCLTech —Noida, Uttar Pradesh
- Azure
- Computer Science
- Master's degree
Electronics Hardware Technician
Computronics Lab —Greater Noida, Uttar Pradesh
- From ₹16,000 a month
- Full-time
- Assembly
- Bachelor's degree
- In-person
- Health insurance
Quick apply
11d
Civil Engineer
Abhayam Architects —Mathura, Uttar Pradesh
- ₹13,000 - ₹17,000 a month
- Full-time
- Civil engineering
- Schematics
- Plumbing
- Flexible schedule
Quick apply
7d
Application Engineer (GPS)
Janak Positioning & Surveying System —Noida, Uttar Pradesh
- English
- Bachelor's degree
- Computer networking
Service Engineer
POWERLOGIX ELECTRO SYSTEMS PVT LTD —Lucknow, Uttar Pradesh
- ₹10,000 - ₹16,000 a month
- Full-time
- Driving
- In-person
- Diploma
- Flexible schedule
Quick apply
Design Engineer Intern (Metrology)
Voxel3D Technology pvt ltd —Noida, Uttar Pradesh
- ₹5,000 - ₹10,000 a month
- Email
- Software troubleshooting
- Analysis skills
- In-person
- Commuter assistance
- Health insurance
Quick apply
10d
Quadient Workflow Engineer
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- SQL
- JavaScript
Quick apply
Jr. Sales Engineer
AEROTECH EQUIPMENTS & PROJECTS PVT LTD —Greater Noida, Uttar Pradesh
- ₹13,269.77 - ₹43,893.17 a month
- Microsoft Excel
- HVAC
- In-person
Quick apply
Site Supervisor
InteriorsbySBD —Lucknow, Uttar Pradesh
- ₹15,500 - ₹21,500 a month
- Full-time
- AutoCAD
- Microsoft Excel
- Microsoft Office
Quick apply
2D Designer
Creative Interiors —Ghaziabad, Uttar Pradesh
- ₹15,000 - ₹25,000 a month
- Full-time
- AutoCAD
- Bachelor's degree
- In-person
- Paid time off
- Cell phone reimbursement
Quick apply
Senior Data Engineer – GenAI & Unstructured Data Pipelines
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- DevOps
- Master's degree
Quick apply
Fresher US IT Recruiter
Raas Infotek —Noida, Uttar Pradesh
- ₹15,000 - ₹17,000 a month
- Full-time
- Master's degree
- Bachelor's degree
- In-person
- Food provided
Quick apply
8d
Sales Engineer-Kanpur-4.2 LPA
RISHI JOBS —Kanpur, Uttar Pradesh
- ₹3 - ₹4 an hour
- Sales
- Engineering
- Master's degree
Quick apply
Response Centre Technical Associate
TERiX Computer Service India Pvt Ltd. —Noida, Uttar Pradesh
- ₹2,00,000 - ₹2,80,000 a year
- Full-time
- Customer service
- English
- Project management
- Commuter assistance
- Health insurance
Quick apply
Interior Designer
MSM INTERIOR —Greater Noida, Uttar Pradesh
- ₹25,000 - ₹30,000 a month
- Full-time
- AutoCAD
- CAD
- Project management
Quick apply
5d
Sales Engineer
GLOBAL ELECTRICAL AND CONTROLS PVT PTD —Greater Noida, Uttar Pradesh
- ₹16,000 - ₹20,000 a month
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
- Cell phone reimbursement
Quick apply
6d
UI/UX & Graphic Designer
FEAG Engineers and Constructions Pvt Ltd —Bijnaur, Uttar Pradesh
- ₹12,000 - ₹20,000 a month
- Full-time
- In-person
Quick apply
Graphic Designer Internship
Junior Engineers —Ghaziabad, Uttar Pradesh
- ₹3,086.00 - ₹10,739.21 a month
- Full-time
- English
- In-person
Quick apply
AutoCAD Draughtsman/woman
Bhawan —Lucknow, Uttar Pradesh
- ₹8,000 - ₹14,000 a month
- Full-time
- AutoCAD
- Microsoft Office
- Bachelor's degree
Quick apply
18h
Experienced Civil Foreman Required
Vasundhara Construction —Noida, Uttar Pradesh
- ₹20,000 - ₹30,000 a month
- Full-time
- Civil engineering
- Bachelor's degree
- Quality control
Quick apply

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RPA Developer - Core

HCLTech -
Noida, Uttar Pradesh

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Job details

Fresher

Qualifications

Authentication
Azure
Node.js
Law
Computer Science
React
Software deployment
Enterprise Software
Git
Master's degree
Application development
Databases
MCA
OOP
OS Kernels
AWS
Bachelor's degree
Machine learning
Back-end development
REST
Natural language processing
SharePoint
GitHub
APIs
Agile
B.E.
JSON
Data science
Flask
AI
Python
Debugging
Information Technology

Full job description

Noida, Uttar Pradesh
Job Summary

About the Role

We are looking for a GenAI Agentic Developer to design, build, integrate, test, and support intelligent applications powered by Large Language Models, Retrieval-Augmented Generation, tool-calling workflows, autonomous agents, and agentic AI frameworks. The role requires strong programming fundamentals, practical exposure to GenAI application development, and the ability to connect LLMs with enterprise data sources, APIs, workflow systems, vector databases, and cloud-based AI services. The candidate should be able to contribute to AI assistants, chatbots, knowledge search solutions, document intelligence use cases, automation agents, and production-ready GenAI features with appropriate controls for accuracy, reliability, safety, cost, and performance.

This role is suitable for candidates with 0 to 5 years of relevant experience . Freshers or entry-level candidates should demonstrate strong project, internship, certification, GitHub, hackathon, academic, or portfolio-based exposure in Python, GenAI, LLM applications, RAG pipelines, prompt engineering, vector search, chatbot development, AI-assisted automation, or agentic workflow prototypes.

Key Responsibilities

Key Responsibilities

Develop GenAI applications using Python, LLM APIs, prompt engineering, RAG patterns, embeddings, vector search, and agentic AI frameworks.
Build AI agents capable of reasoning, planning, tool calling, function calling, workflow orchestration, memory usage, task decomposition, and multi-step execution.
Design and implement RAG and Agentic RAG pipelines using document ingestion, parsing, chunking, metadata tagging, embeddings, vector indexing, semantic search, hybrid retrieval, reranking, prompt construction, and grounded response generation.
Integrate GenAI solutions with structured and unstructured enterprise data sources such as documents, databases, SharePoint repositories, knowledge bases, APIs, ticketing systems, and workflow platforms.
Implement prompt templates, system prompts, reusable prompt libraries, structured outputs, JSON response formats, prompt versioning, and output validation logic.
Create tool integrations that allow agents to call APIs, execute workflows, retrieve data, summarize content, classify information, generate reports, and trigger downstream actions safely.
Support model selection and configuration based on use case needs such as accuracy, latency, context window, token usage, cost, privacy, and deployment constraints.
Integrate LLMs with enterprise systems, APIs, databases, knowledge repositories, search services, and automation workflows.
Use frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or similar tools to build agentic workflows.
Create reusable components for prompt templates, tool integrations, retrieval workflows, memory handling, guardrails, model evaluation, tracing, observability, and monitoring.
Perform testing and evaluation of GenAI outputs for factual accuracy, relevance, hallucination control, groundedness, safety, bias, latency, token usage, cost, and reliability.
Implement basic Responsible AI and security controls such as input validation, prompt injection mitigation, PII handling, access control, auditability, and safe response handling.
Support deployment and integration of GenAI components into backend services, web applications, automation workflows, and cloud-hosted environments.
Support testing and evaluation of GenAI outputs for accuracy, relevance, hallucination control, latency, cost, safety, and reliability.
Collaborate with data engineers, backend developers, cloud engineers, QA teams, product owners, and business stakeholders to deliver AI-enabled features.
Document prompts, agent flows, API integrations, model configurations, assumptions, limitations, and deployment steps.
Skill Requirements

Mandatory Technical Skills

Strong programming capability in Python , including data structures, APIs, object-oriented programming, exception handling, logging, debugging, package management, and modular application development.
Hands-on exposure to Generative AI, Large Language Models, prompt engineering, embeddings, tokenization, context windows, structured outputs, and AI application development .
Working knowledge of RAG architecture , including document processing, chunking strategies, metadata design, vectorization, semantic search, hybrid search, reranking, context augmentation, and grounded response generation.
Experience or strong project exposure in agentic AI concepts such as tool calling, function calling, planning, memory, reflection, reasoning loops, task decomposition, autonomous execution, human-in-the-loop flows, and workflow orchestration.
Exposure to frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI , or equivalent agentic development frameworks.
Experience integrating LLMs through APIs or cloud AI services such as AWS Bedrock, Azure OpenAI, Google Vertex AI, OpenAI APIs, Anthropic APIs, or open-source model endpoints.
Working knowledge of vector databases or semantic search platforms such as FAISS, Pinecone, Chroma, Weaviate, OpenSearch, Azure AI Search, or pgvector.
Understanding of REST APIs, JSON, authentication, backend integration, data ingestion, and application deployment basics.
Working knowledge of Git, code reviews, debugging practices, documentation, and Agile delivery methods.

Preferred / Additional Skills

Exposure to cloud-native AI services, especially AWS Bedrock, Amazon SageMaker, Azure OpenAI, Azure AI Search, Google Vertex AI, or Gemini APIs.
Familiarity with multi-agent systems, supervisor-agent patterns, planner-executor workflows, human-in-the-loop flows, and agent evaluation methods.
Knowledge of LLMOps or GenAIOps practices, including prompt versioning, model configuration management, monitoring, tracing, evaluation, and cost tracking.
Exposure to OCR, document intelligence, NLP, text classification, summarization, entity extraction, and enterprise knowledge search use cases.
Basic understanding of model evaluation metrics, hallucination reduction, grounded responses, guardrails, responsible AI, privacy, and security controls.
Experience with FastAPI, Flask, Streamlit, React, Node.js, or similar tools for building AI-enabled applications and demos.
Other Requirements

Experience Criteria

0 to 5 years of relevant experience in GenAI development, AI application engineering, Python development, ML/NLP application development, backend development, or automation engineering.
Candidates with 0–1 year of experience should demonstrate capability through academic projects, internships, certifications, GitHub repositories, hackathons, prototypes, or hands-on GenAI experiments.
Candidates with 2–5 years of experience should have hands-on experience building, integrating, testing, or deploying GenAI, AI assistant, chatbot, RAG, automation, or agentic workflow solutions.

Educational Qualifications

Mandatory Qualification:
B.E. / B.Tech in Computer Science, Information Technology, Artificial Intelligence, Data Science, Electronics, Software Engineering, or any other relevant engineering stream.

Equivalent qualifications may also be considered:
BCA / MCA / M.Tech / M.Sc. in Computer Science, Information Technology, Artificial Intelligence, Data Science, Machine Learning, Software Engineering, or related disciplines from a recognized institution or university.
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engineer fresher jobs in up

RPA Developer - Core

Electronics Hardware Technician

Civil Engineer

Application Engineer (GPS)

Service Engineer

Design Engineer Intern (Metrology)

Quadient Workflow Engineer

Jr. Sales Engineer

Site Supervisor

2D Designer

Senior Data Engineer – GenAI & Unstructured Data Pipelines

Fresher US IT Recruiter

Sales Engineer-Kanpur-4.2 LPA

Response Centre Technical Associate

Interior Designer

Sales Engineer

UI/UX & Graphic Designer

Graphic Designer Internship

AutoCAD Draughtsman/woman

Experienced Civil Foreman Required

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