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

• Bachelors/Masters 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