eQuestever LLC

Hiring: Senior AI Engineer / AI Architect (Part-Time)

Location: 100% Remote (India)

Employment Type: Part-Time (4 Hours Daily)

About the Role

We are looking for an experienced Senior AI Engineer / AI Architect to design, develop, and deploy enterprise-grade AI solutions. This role is ideal for a highly skilled professional with deep expertise in Generative AI, Agentic AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and cloud-native AI architectures.

You will lead the design and implementation of intelligent AI systems that automate business processes, enhance decision-making, and seamlessly integrate with enterprise applications across AWS and Azure environments.

Key Responsibilities

Generative AI & Agentic AI

• Design and build enterprise GenAI and Agentic AI applications using modern LLM frameworks.
• Develop multi-agent AI systems using LangChain and LangGraph.
• Build and optimize RAG (Retrieval-Augmented Generation) pipelines using embeddings and vector databases.
• Create prompt engineering strategies, context management frameworks, and AI orchestration workflows.
• Integrate leading LLM platforms including OpenAI, Azure OpenAI, Anthropic Claude, AWS Bedrock, and other AI APIs.

AI/ML Engineering

• Design, develop, and deploy machine learning models for NLP, classification, prediction, and recommendation systems.
• Implement LLMOps/MLOps practices for model evaluation, monitoring, and lifecycle management.
• Fine-tune and optimize AI models for enterprise-scale use cases.
• Establish AI governance, security guardrails, and responsible AI frameworks.

Cloud & Data Engineering

• Architect scalable AI solutions on AWS and Azure.
• Build robust data pipelines using Databricks, Kafka, Glue, Synapse, Data Lake, and ETL/ELT technologies.
• Develop event-driven architectures using Kafka, EventBridge, Service Bus, SNS, and SQS.
• Design and manage vector database solutions such as Pinecone, Azure AI Search, Weaviate, or similar platforms.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 8+ years of software engineering experience.
• 5+ years of AI/ML engineering experience.
• Strong programming expertise in Python and FastAPI.
• Hands-on experience building Generative AI, Agentic AI, and LLM-based applications.
• Strong experience with LangChain, LangGraph, RAG, embeddings, and vector databases.
• Solid knowledge of AWS and Azure cloud platforms.
• Experience designing scalable and secure enterprise AI architectures.

Preferred Qualifications

• Experience in Healthcare, Financial Services, or Insurance domains.
• Hands-on experience with Databricks, MLflow, and MLOps platforms.
• Experience with Azure AI Foundry, Azure OpenAI, and AWS Bedrock.
• Knowledge of HIPAA, SOC2, and enterprise security frameworks.
• AWS and/or Azure certifications are a plus.

Technical Skills

Python | FastAPI | LangChain | LangGraph | RAG | LLMOps | OpenAI | Azure OpenAI | AWS Bedrock | Pinecone | Azure AI Search | Databricks | MLflow | Kafka | Docker | Kubernetes | AWS | Azure

What We're Looking For

• Strong problem-solving and architectural design skills.
• Experience delivering enterprise AI solutions from concept to production.
• Ability to work independently in a remote, collaborative environment.
• Passion for building next-generation AI systems and automation platforms.

Looking forward to work with you.

Know someone who might be a great fit? Feel free to tag them or share this opportunity within your network!

Best regards,

Akash Sahu

Talent Partner @ eQuestever

 Akash (Allen) Sahu

🌐 www.equestever.com

 201 E Center St Suite 112, Anaheim CA 92805, USA