Senior Fullstack AI Engineer

Key Responsibilities

• Build and deploy AI Agents, Agentic Workflows, and Generative AI applications.
• Develop modern front-end applications using Angular and TypeScript.
• Design and implement Python-based microservices and REST APIs.
• Deploy and manage cloud-native applications on AWS and Kubernetes (EKS).
• Integrate LLMs, RAG architectures, vector databases, and AI orchestration frameworks into enterprise applications.
• Collaborate with cross-functional teams to deliver end-to-end AI solutions.
• Implement AI evaluation frameworks, observability, governance, safety guardrails, and best practices.
• Optimize application performance, scalability, security, and reliability.

Required Qualifications

• Bachelor's or Master's degree in Computer Science or a related field.
• 10+ years of software engineering experience, including full stack development.
• 3+ years of hands-on experience building and deploying Generative AI or LLM-based solutions.
• Strong expertise in Angular, TypeScript, Python, and microservices architecture.
• Experience with AWS, Kubernetes, and cloud-native application development.
• Experience with LLMs, RAG, prompt engineering, AI Agents, and multi-agent systems.
• Hands-on experience with AI orchestration frameworks such as LangGraph, CrewAI, Semantic Kernel, or similar.
• Experience with vector databases such as Pinecone, Weaviate, OpenSearch, Chroma, or pgvector.
• Strong understanding of REST APIs, distributed systems, and modern software design patterns.
• Excellent communication, collaboration, and problem-solving skills.

Candidate Requirements

• Provide a GitHub profile or code repository for review.
• Demonstrate hands-on experience with production AI systems, AI Agents, and modern GenAI frameworks.