Senior AI Engineer - Immediate Joiners (3-4 Years Of Experience)

Senior AI Engineer (3-4 years of experience)

We are looking for a highly skilled and innovative Senior AI Engineer to join our growing technology team. The ideal candidate will have hands-on experience in building, deploying, and optimizing AI/LLM-powered applications, along with a strong understanding of modern AI frameworks, cloud infrastructure, and scalable architectures.

Job Title:

Senior AI Engineer

Experience Required:

3–4 Years

Employment Type:

Full-Time

Location:

Gurgaon, Haryana

Key Responsibilities

• Design, develop, and deploy scalable AI and Machine Learning solutions.
• Build and optimize LLM-powered applications using modern AI frameworks and architectures.
• Develop and maintain RAG (Retrieval-Augmented Generation) pipelines and AI multi-agent workflows.
• Fine-tune, evaluate, and monitor machine learning and large language models.
• Create robust APIs and backend services using FastAPI or Flask.
• Work with vector databases such as Pinecone, FAISS, and ChromaDB for semantic search and retrieval systems.
• Collaborate with cross-functional teams to integrate AI capabilities into products and business workflows.
• Build and maintain data pipelines and ETL workflows for AI applications.
• Implement MLOps best practices including CI/CD pipelines, model versioning, monitoring, and deployment automation.
• Deploy and manage AI workloads on cloud platforms such as AWS, Azure, or GCP.
• Stay updated with emerging trends in Generative AI, LLMs, and AI infrastructure.

Required Skills & Qualifications:

Core Technical Skills

• Strong proficiency in Python and SQL
• Experience in model training, evaluation, and fine-tuning
• Hands-on experience with RAG architecture
• Understanding of AI multi-agent workflows
• Knowledge of the complete LLM application lifecycle

Frameworks & Tools

• Experience with LangChain and/or LangGraph
• Familiarity with MLflow or model monitoring tools
• Knowledge of vector databases such as Pinecone, FAISS, and ChromaDB

Cloud & Deployment

• Experience with AWS, Azure, or GCP

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• API development using FastAPI or Flask
• Basic understanding of MLOps and CI/CD pipelines

Data Skills

• Understanding of data pipelines and ETL processes

Preferred Qualifications

• Experience working on production-grade AI applications
• Strong problem-solving and analytical skills
• Ability to work in a fast-paced and collaborative environment
• Excellent communication and stakeholder management skills

What We Offer

• Opportunity to work on cutting-edge AI and Generative AI projects
• Collaborative and innovation-driven work environment
• Career growth and learning opportunities
• Exposure to enterprise-scale AI implementations

How to Apply

Interested candidates can share their updated resume along with project portfolios and relevant AI/LLM work samples.