Faridabad Haryana Ai prompt engineering works Jobs – 181 Open Jobs Today

AI - Engineer
CorroHealth Infotech Private Limited —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Java
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2d
Python & AI Backend Engineer
DTP LABS —Vasant Kunj, Delhi, Delhi
- ₹4,80,000 - ₹6,00,000 a year
- Full-time
- Azure
- Master's degree
- SQL
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Gen AI Engineer
EXL Service —Noida, Uttar Pradesh
- Full-time
- Computer Science
- Master's degree
- AWS
Gen AI Developer
EXL Service —Noida, Uttar Pradesh
- Full-time
- Computer Science
- Master's degree
- Databases
AI Solutions Leads
Acme Services —Noida, Uttar Pradesh
- ₹30,00,000 - ₹35,00,000 a year
- Full-time
- Azure
- Computer Science
- Master's degree
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AI/ML & Generative AI Developer
Tecorb Technologies —Noida, Uttar Pradesh
- Azure
- Doctoral degree
- Computer Science
AI & Generative AI Trainer
The SmartBridge —Noida, Uttar Pradesh
- ₹4,00,000 - ₹6,00,000 a year
- Full-time
- Computer Science
- Master's degree
- SQL
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Lead – Artificial Intelligence (AI)
KiwiTech India Pvt. India —Noida, Uttar Pradesh
- ₹1,50,000 - ₹2,50,000 a month
- Full-time
- Azure
- Computer Science
- Master's degree
- Health insurance
- Flexible schedule
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Generative AI + Machine Learning Trainer
Madrid Software Training Solutions —Saket, Delhi
- ₹30,000 - ₹40,000 a month
- Full-time
- Master's degree
- SQL
- Machine learning
- Commuter assistance
- Cell phone reimbursement
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AI Technology Consultant
Crowe Capability Center - India —Noida, Uttar Pradesh
- Full-time
- Microsoft Powerpoint
- Microsoft Excel
- Analysis skills
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8d
Data Science & AI Trainer
Digicrome Academy —Noida, Uttar Pradesh
- ₹4,00,000 - ₹6,00,000 a year
- Full-time
- SQL
- Machine learning
- In-person
- Cell phone reimbursement
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1d
AI/ML Computational Science Analyst
Accenture —Noida, Uttar Pradesh
- Full-time
- Master's degree
- Databases
- SQL
Generative Ai + ML trainer
madrid software solutions —Saket, Delhi, Delhi
- ₹30,000 - ₹45,000 a month
- Full-time
- Master's degree
- SQL
- Machine learning
- Cell phone reimbursement
- Paid sick time
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AI Agentic Engineer / AI Developer (Immediate Joiner)
AvyaTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- ERP systems
- Master's degree
AI Analyst
Level AI —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- SQL
- Bachelor's degree
- AI
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Generative AI +Machine Learning Trainer
Madrid Software Training Solutions —Saket, Delhi, Delhi
- ₹30,000 - ₹45,000 a month
- Full-time
- Master's degree
- SQL
- Machine learning
- Paid sick time
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AI Developer
Team Computers —Noida, Uttar Pradesh
- Full-time
- Azure
- Master's degree
- AWS
9d
AI visual Artist or Creator
S'QB Pictures —Noida, Uttar Pradesh
- ₹25,000 - ₹30,000 a month
- In-person
- AI
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AI Architect
Persistent —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Salesforce
- Master's degree
- Databases
- Flexible schedule
15h
Associate- AI Data Engineer(Retail)
Bain & Co. —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- Master's degree
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3d

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AI - Engineer

CorroHealth Infotech Private Limited
Noida, Uttar Pradesh

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Job details

Full-time
2 days ago

Qualifications

CI/CD
Azure
Law
Computer Science
React
Kubernetes
Java
Master's degree
Databases
OS Kernels
AWS
Docker
Bachelor's degree
Machine learning
Continuous integration
REST
Natural language processing
APIs
AI
gRPC
Python

Full job description

About Us:

Our purpose is to help clients exceed their financial health goals. Across the reimbursement cycle, our scalable solutions and clinical expertise help solve programmatic needs. Enabling our teams with leading technology allows analytics to guide our solutions and keeps us accountable achieving goals.

We build long-term careers by investing in YOU. We seek to create an environment that cultivates your professional development and personal growth, as we believe your success is our success.

ESSENTIAL DUTIES AND RESPONSIBILITIES:
Note: The essential duties and responsibilities below are intended to describe the general duties and responsibilities of this position and are not intended to be an exhaustive statement of duties. This position may perform all or most of the primary duties listed below. Specific tasks, responsibilities or competencies may be documented in the Team Member’s performance objectives as outlined by the Team Member’s immediate Leadership Team Member.

About the Role

We are looking for an AI Engineer with a strong focus on Large Language Models (LLMs) and Generative AI to design, build, and deploy intelligent, LLM-powered systems. You'll work on prompt engineering, RAG pipelines, agentic workflows, and fine-tuning, while building robust backend services in Java and Python — with React front-end knowledge as a plus to help ship end-to-end AI features.

Key Responsibilities

Design, build, and deploy LLM-powered applications — chatbots, copilots, agents, RAG systems, and summarization/extraction pipelines
Develop and optimize prompt engineering strategies (few-shot, chain-of-thought, structured output, function/tool calling) for production use cases
Build and maintain Retrieval-Augmented Generation (RAG) pipelines — embeddings, chunking strategies, vector databases (Pinecone, Weaviate, FAISS, pgvector)
Fine-tune and evaluate LLMs (open-source and closed-source) using techniques like LoRA/QLoRA, instruction tuning, and RLHF where applicable
Design and implement agentic workflows using frameworks like LangChain, LangGraph, LlamaIndex, or custom orchestration
Build backend services and APIs in Java and/or Python to serve LLM applications at scale
Implement evaluation frameworks for LLM outputs — accuracy, hallucination rate, latency, cost, and safety metrics
Manage prompt versioning, model routing, and caching for cost/performance optimization across multiple LLM providers (OpenAI, Anthropic, open-source models)
Collaborate with front-end developers (or contribute directly in React) to surface LLM features in user-facing products
Monitor deployed LLM systems for drift, degradation, and safety/guardrail violations; iterate on mitigation strategies
Implement guardrails, content filtering, and responsible AI practices (bias mitigation, prompt injection defense, data privacy)
Stay current with the fast-moving LLM/GenAI landscape (new models, techniques, tooling) and assess applicability to the business

Required Qualifications

Bachelor's or Master's degree in Computer Science, Machine Learning, or related field (or equivalent practical experience)
Strong programming skills in Java and Python
Hands-on experience with LLM APIs (OpenAI, Anthropic Claude, Gemini, etc.) and open-source LLMs (Llama, Mistral, etc.)
Practical experience with prompt engineering and RAG architecture
Experience with vector databases and embedding models
Familiarity with LLM orchestration frameworks: LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar
Solid understanding of transformer architecture and how LLMs work under the hood
Experience building and consuming REST/gRPC APIs for AI-serving backends
Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)

Preferred Qualifications

Experience fine-tuning LLMs (LoRA, QLoRA, PEFT) and working with Hugging Face Transformers
Experience designing multi-agent systems or tool-using/agentic AI workflows
Familiarity with LLM evaluation tools (RAGAS, DeepEval, promptfoo, human-in-the-loop eval pipelines)
Working knowledge of React to build or collaborate on UI components for LLM-driven features (chat interfaces, streaming responses, etc.)
Understanding of guardrails/safety tooling (Guardrails AI, NeMo Guardrails, content moderation APIs)
Experience with MLOps/LLMOps practices — CI/CD, model/prompt versioning, observability (LangSmith, Weights & Biases, Arize)
Background in NLP or contributions to open-source LLM/GenAI projects

Soft Skills

Curiosity and adaptability — comfortable navigating a fast-evolving space where best practices shift monthly
Strong problem-solving and analytical thinking
Ability to communicate technical AI concepts to non-technical stakeholders
Collaborative mindset and eagerness to mentor/learn from peers

PHYSICAL DEMANDS:
Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions as described. Regular eye-hand coordination and manual dexterity is required to operate office equipment. The ability to perform work at a computer terminal for 6-8 hours a day and function in an environment with constant interruptions is required. At times, Team Members are subject to sitting for prolonged periods. Infrequently, Team Member must be able to lift and move material weighing up to 20 lbs. Team Member may experience elevated levels of stress during periods of increased activity and with work entailing multiple deadlines.
A job description is only intended as a guideline and is only part of the Team Member’s function. The company has reviewed this job description to ensure that the essential functions and basic duties have been included. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate.

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