Senior AI Engineer

Job Type: Full-Time

Job Overview

We are seeking a Senior AI Engineer to design, develop, and deploy production-grade LLM-powered applications and agentic AI systems. The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), RAG architectures, AI agents, modern AI frameworks, and scalable cloud-based systems.

This role will be responsible for owning the end-to-end development of intelligent solutions, from architecture and development through deployment, evaluation, and optimization.

Key Responsibilities

• Architect and develop end-to-end LLM-powered applications and agentic AI workflows using Python.

• Design and implement Retrieval-Augmented Generation (RAG) pipelines using enterprise data, embeddings, and vector databases.

• Build multi-step, tool-using AI agents supporting planning, execution, memory, and reasoning.

• Develop AI solutions using modern frameworks such as LangChain, LangGraph, and AutoGen.

• Integrate LLM and AI systems with REST APIs, backend services, enterprise applications, and cloud platforms.

• Implement prompt engineering, LLM orchestration, and AI workflow automation.

• Design scalable and reliable backend architectures for AI-powered applications.

• Establish strategies for AI evaluation, accuracy, reliability, latency, scalability, and cost optimization.

• Monitor and optimize production AI systems to ensure performance and reliability.

• Collaborate with engineering and business teams to translate requirements into scalable AI solutions.

Required Qualifications

• Strong Python programming skills with experience developing production-grade backend systems.

• Hands-on experience building and deploying LLM-powered applications.

• Strong understanding of Generative AI, LLMs, prompt engineering, and AI orchestration.

• Proven experience designing and implementing RAG architectures.

• Experience working with embeddings and vector databases.

• Hands-on experience developing AI agents and agentic workflows.

• Experience with frameworks such as LangChain, LangGraph, or AutoGen.

• Strong system design and software architecture skills.

• Experience building and scaling cloud-based applications and services.

• Experience integrating AI solutions with APIs, backend systems, and enterprise data sources.

• Strong understanding of production considerations including performance, reliability, scalability, accuracy, latency, and cost.

Preferred Qualifications

• Experience with multiple LLM providers and APIs.

• Experience with cloud platforms such as AWS, Azure, or Google Cloud.

• Experience with containerization and modern application deployment practices.

• Knowledge of AI/ML evaluation frameworks and observability.

• Experience working with enterprise-scale data and AI applications.

• Strong problem-solving, communication, and collaboration skills.

Education & Work Authorization

• Bachelor’s degree or foreign equivalent from an accredited institution is preferred. Equivalent professional experience may be considered.

• Candidates must be authorized to work in the United States without current or future employer-based visa sponsorship.

• The position may require occasional relocation and/or travel depending on project requirements.