Artificial Intelligence Engineer

Job Title: Senior AI Engineer (REMOTE)

Location: [Hybrid/Remote/Onsite — Add as needed]

Experience: 6+ Years

Employment Type: Full-time

About the Role

We are looking for a Senior AI Engineer who can lead the development and scaling of cutting-edge AI solutions involving LLMs, RAG systems, AI agents, and autonomous workflows. You will play a key role in designing architecture, building scalable pipelines, and enabling production-grade AI systems that deliver real impact.

This is a highly technical role that requires deep expertise in Python, cloud-native AI systems, vector databases, orchestration frameworks, and production ML.

Responsibilities

- Architect and build scalable LLM-powered applications, including chatbots, RAG systems, and AI decision-support tools. - Develop autonomous agents and multi-agent systems for internal and client needs. - Implement AIOps frameworks to monitor and improve production AI systems. - Build and optimize data pipelines, ML workflows, APIs, and backend services using Python & SQL. - Deploy scalable systems using AWS, Docker/Kubernetes, CI/CD, and IaC tools. - Collaborate with cross-functional teams to define requirements and deliver AI capabilities at scale. - Mentor engineers and contribute to organizational AI strategy. - Stay updated on emerging LLM frameworks, agentic workflows, and ML infrastructure advancements.

Required Qualifications

- Bachelor’s/Master’s in Computer Science, Engineering, or a related field - 6+ years of experience in AI/ML Engineering with real-world production systems - Strong experience developing and scaling LLM apps, RAG, agents, and AI-driven apps - Excellent programming skills in Python & SQL - Experience with AWS, Kubernetes, Docker, CI/CD, IaC - Experience with vector databases (FAISS, Pinecone, Chroma, etc.) - Strong understanding of software architecture and system design - Excellent communication and team collaboration skills

Nice-to-Have Skills

- Experience with real-time or event-driven architectures - Exposure to LangChain, LangGraph, CrewAI, or agent frameworks - Experience with MCP or a2a protocols - Experience leading or mentoring junior engineers