Faridabad Haryana Prompt engineer Jobs – 159 Open Jobs Today

Senior AI Data Engineer
EXL Service —Noida, Uttar Pradesh
- Full-time
- Azure
- Data analysis skills
- Master's degree
Solution Architect
Luxoft —Noida, Uttar Pradesh
- English
- Master's degree
- AWS
Tech S and T-Cloud AI Platform Architect-ISR-Manager-GDSF02
EY —Noida, Uttar Pradesh
- Azure
- Computer Science
- Master's degree
Tech Lead
Masters India Private Limited —Noida, Uttar Pradesh
- Full-time
- DevOps
- System design
- Master's degree
Quick apply
Manager - Digital Fabric
Tata Communications —Delhi, Delhi
- Full-time
- Azure
- Computer Science
- ERP systems
10d
SAP BTP LLM Developer-Senior
EY —Noida, Uttar Pradesh
- Computer Science
- Master's degree
- AWS
- Health insurance
Security Engineer III
GHX —Noida, Uttar Pradesh
- Master's degree
- AWS
- APIs
Technical Lead (Telecom Experience with Development)
Aeris Communications Inc. —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Oracle
- Computer Science
Quick apply
Senior Technical Lead
HCLTech —Noida, Uttar Pradesh
- Azure
- DevOps
- Master's degree
4d
Industry Consulting Snr. Consultant
NTT Ltd —Noida, Uttar Pradesh
- Azure
- Master's degree
- SQL
Senior AI Architect
Icreon —Noida, Uttar Pradesh
- Full-time
- Master's degree
- APIs
- Financial services
Quick apply
Principal Technical Architect
Workato —Noida, Uttar Pradesh
- Azure
- Oracle
- Computer Science
Quick apply
Sr. AVP-Agentic AI Identity Managemnt
EXL Service —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Engineering
Lead AI Engineer 4C
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- B.Sc
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Tech Lead - Automation N 4C
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- English
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Senior AI Data Engineer

EXL Service -
Noida, Uttar Pradesh

Apply Now

Job details

Full-time

Qualifications

CI/CD
Azure
Law
Enterprise Software
Data analysis skills
Master's degree
SQL
AWS
Continuous integration
Natural language processing
APIs
ETL
Data science
Flask
AI
Python

Full job description

Job Description: Key Responsibilities

Design and develop LLM-powered applications using agentic patterns (single/multi-agent) for business use cases
Build and optimise end-to-end RAG pipelines (ingestion, embeddings, retrieval, orchestration, response synthesis)
Implement prompt engineering and orchestration techniques (prompt chaining, tool/function calling, structured outputs)
Develop production-grade APIs and services (FastAPI/Flask/Streamlit) for GenAI applications
Integrate LLM solutions with enterprise systems, data platforms, and workflows
Apply guardrails and evaluation frameworks to improve response quality, reduce hallucinations, and ensure responsible AI usage
Collaborate with Data Engineering and MLOps teams for data pipelines, deployment, monitoring, and scaling
Contribute to reusable components, documentation, and engineering best practices

Experience & Core Requirements (Must-Have)

Overall Experience

6–9 years total experience
1–3+ years in hands-on GenAI / LLM application development (production use cases)

LLM / GenAI & Agentic Engineering

Strong hands-on experience with:
- LLMs (Claude, OpenAI, etc.)
- RAG pipelines and retrieval optimisation
- GPT + Agentic AI implementation experience
Experience with:
- LangChain, LangGraph, or similar frameworks
- Agent orchestration and tool-calling architectures

Core Engineering

Strong Python/Pyspark engineering expertise (production-grade development) with proven API integration experience
Deep data analysis experience and handling large volume of data
Fabric/Azure Databricks/Snowflake data engineering integration skills
Good exposure to:
- Cloud platforms (Azure/AWS/GCP)
- SQL

Data / AI Foundations (Mandatory)

Prior experience in one or more:

Data Engineering (ETL/ELT, pipelines, orchestration)
Data Science / ML lifecycle (especially NLP)

Good-to-Have / Preferred

Experience with fine-tuning techniques (LoRA, PEFT) or prompt tuning strategies
Experience with enterprise GenAI security & privacy practices (data masking, access control, compliance)
Familiarity with Azure AI ecosystem (Azure OpenAI, Azure AI Search, Fabric, etc.)
Exposure to agentic coding tools (e.g., Claude Code or similar environments)

Responsibilities: Key Responsibilities

Design and develop LLM-powered applications using agentic patterns (single/multi-agent) for business use cases
Build and optimise end-to-end RAG pipelines (ingestion, embeddings, retrieval, orchestration, response synthesis)
Implement prompt engineering and orchestration techniques (prompt chaining, tool/function calling, structured outputs)
Develop production-grade APIs and services (FastAPI/Flask/Streamlit) for GenAI applications
Integrate LLM solutions with enterprise systems, data platforms, and workflows
Apply guardrails and evaluation frameworks to improve response quality, reduce hallucinations, and ensure responsible AI usage
Collaborate with Data Engineering and MLOps teams for data pipelines, deployment, monitoring, and scaling
Contribute to reusable components, documentation, and engineering best practices

Experience & Core Requirements (Must-Have)

Overall Experience

6–9 years total experience
1–3+ years in hands-on GenAI / LLM application development (production use cases)

LLM / GenAI & Agentic Engineering

Strong hands-on experience with:
- LLMs (Claude, OpenAI, etc.)
- RAG pipelines and retrieval optimisation
- GPT + Agentic AI implementation experience
Experience with:
- LangChain, LangGraph, or similar frameworks
- Agent orchestration and tool-calling architectures

Core Engineering

Strong Python/Pyspark engineering expertise (production-grade development) with proven API integration experience
Deep data analysis experience and handling large volume of data
Fabric/Azure Databricks/Snowflake data engineering integration skills
Good exposure to:
- Cloud platforms (Azure/AWS/GCP)
- SQL

Data / AI Foundations (Mandatory)

Prior experience in one or more:

Data Engineering (ETL/ELT, pipelines, orchestration)
Data Science / ML lifecycle (especially NLP)

Good-to-Have / Preferred

Experience with fine-tuning techniques (LoRA, PEFT) or prompt tuning strategies
Experience with enterprise GenAI security & privacy practices (data masking, access control, compliance)
Familiarity with Azure AI ecosystem (Azure OpenAI, Azure AI Search, Fabric, etc.)
Exposure to agentic coding tools (e.g., Claude Code or similar environments)

Qualifications: Key Responsibilities

Design and develop LLM-powered applications using agentic patterns (single/multi-agent) for business use cases
Build and optimise end-to-end RAG pipelines (ingestion, embeddings, retrieval, orchestration, response synthesis)
Implement prompt engineering and orchestration techniques (prompt chaining, tool/function calling, structured outputs)
Develop production-grade APIs and services (FastAPI/Flask/Streamlit) for GenAI applications
Integrate LLM solutions with enterprise systems, data platforms, and workflows
Apply guardrails and evaluation frameworks to improve response quality, reduce hallucinations, and ensure responsible AI usage
Collaborate with Data Engineering and MLOps teams for data pipelines, deployment, monitoring, and scaling
Contribute to reusable components, documentation, and engineering best practices

Experience & Core Requirements (Must-Have)

Overall Experience

6–9 years total experience
1–3+ years in hands-on GenAI / LLM application development (production use cases)

LLM / GenAI & Agentic Engineering

Strong hands-on experience with:
- LLMs (Claude, OpenAI, etc.)
- RAG pipelines and retrieval optimisation
- GPT + Agentic AI implementation experience
Experience with:
- LangChain, LangGraph, or similar frameworks
- Agent orchestration and tool-calling architectures

Core Engineering

Strong Python/Pyspark engineering expertise (production-grade development) with proven API integration experience
Deep data analysis experience and handling large volume of data
Fabric/Azure Databricks/Snowflake data engineering integration skills
Good exposure to:
- Cloud platforms (Azure/AWS/GCP)
- SQL

Data / AI Foundations (Mandatory)

Prior experience in one or more:

Data Engineering (ETL/ELT, pipelines, orchestration)
Data Science / ML lifecycle (especially NLP)

Good-to-Have / Preferred

Experience with fine-tuning techniques (LoRA, PEFT) or prompt tuning strategies
Experience with enterprise GenAI security & privacy practices (data masking, access control, compliance)
Familiarity with Azure AI ecosystem (Azure OpenAI, Azure AI Search, Fabric, etc.)
Exposure to agentic coding tools (e.g., Claude Code or similar environments)

Apply Now

Refine Your Search

prompt engineer jobs in faridabad haryana

Senior AI Data Engineer

Solution Architect

Tech S and T-Cloud AI Platform Architect-ISR-Manager-GDSF02

Tech Lead

Manager - Digital Fabric

SAP BTP LLM Developer-Senior

Security Engineer III

Technical Lead (Telecom Experience with Development)

Senior Technical Lead

Industry Consulting Snr. Consultant

Senior AI Architect

Principal Technical Architect

Sr. AVP-Agentic AI Identity Managemnt

Lead AI Engineer 4C

Tech Lead - Automation N 4C

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