eQuestever LLC
https://equestever.comAbout
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Python
Amazon Web Services (AWS)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
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