Senior Full-Stack AI Engineer – LLM & Cloud Infrastructure at AGC | Torre
Senior Full-Stack AI Engineer – LLM & Cloud Infrastructure
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AGC

Senior Full-Stack AI Engineer – LLM & Cloud Infrastructure

AGC
Posted by
P
Emma
Emma
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Freelance
A project
Compensation
INR68k - 98k/month
~USD719 - 1.03k/month
Non-negotiable
location_on
Remote (for India residents)
Posted 27 days ago

Responsibilities and deliverables

Senior Fullstack AI Engineer – LLM & Cloud Infrastructure Job Type: Full-time Work Mode: Remote Experience: 8+ Years Salary: ₹0.68 – ₹0.98 LPM Location: Remote / India Job Summary We are looking for a highly experienced Senior Fullstack AI Engineer with strong expertise in AI/LLM integration, full-stack development, backend engineering, and enterprise-scale AWS cloud infrastructure. The ideal candidate should have hands-on experience building and deploying production-grade AI/LLM solutions, along with strong knowledge of modern full-stack technologies and AWS services. Key Responsibilities Design, develop, and maintain scalable full-stack applications. Integrate LLM and AI/ML APIs into production applications. Build and implement RAG pipelines and AI-powered solutions. Develop and manage AI agents and agent orchestration workflows. Design and deploy cloud-native applications on AWS. Develop backend services and APIs using Python, Node.js, Java, or Go. Build modern and responsive front-end applications using React. Work with enterprise-scale, multi-tenant systems. Implement CI/CD, security, monitoring, and observability practices. Collaborate with engineering teams to deliver reliable and scalable AI products. Mandatory Technical Skills Full Stack Development Python / Node.js / Java / Go React or modern front-end frameworks REST APIs and backend services AI / LLM OpenAI / AWS Bedrock / LangChain Generative AI / LLM API integration RAG pipelines Agent orchestration AWS AWS Lambda ECS / EKS API Gateway S3 RDS Strong hands-on AWS ownership Enterprise Engineering Multi-tenant applications CI/CD Security Observability Scalable production systems Good to Have LangGraph CrewAI Vector Databases End-to-end React/UI ownership Advanced agentic AI experience Experience designing enterprise-scale AI platforms Candidate Requirements 8+ years of professional software engineering experience Strong full-stack development background Proven hands-on experience with AWS Proven experience integrating AI/LLM solutions in production Strong understanding of RAG and agent orchestration Ability to independently own technical development and deployment Strong problem-solving and communication skills Important Only candidates with hands-on AWS ownership and production-grade AI/LLM integration experience will be considered. Moonlighting is accepted for this opportunity, subject to the candidate's existing employment terms and obligations.
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