Software Engineer – AI / ML & Autonomous Systems
Comrise · ·
About the Role
Software Engineer – AI / ML & Autonomous Systems Comrise is looking for an experienced Software Engineer to design and build production-grade AI applications, AI agents, and conversational systems for a leading-edge mobility and autonomous technology program! In this role, you’ll develop AI-powered products supporting complex task execution, decision-making, and customer interactions. You’ll evaluate and integrate Large Language Models (LLMs), build Retrieval-Augmented Generation (RAG) systems, and partner with cross-functional teams to deliver scalable, reliable AI solutions. 💰 Compensation & Key Details Pay Rate: $102.73 per hour (W2) Work Environment: 100% Onsite (5 days/week in San Diego, CA 92128) Employment Type: Full-time Contract (Usually 30+ hours/week through September 2026) Location: San Diego, CA (13500 Evening Creek Dr N) 🔥 What You’ll Do AI Systems & Agents: Design and develop production-grade AI agents and autonomous systems capable of complex task execution and decision-making. Conversational AI: Build conversational AI solutions, including chatbots and voice-based customer service systems. RAG Architectures: Design and optimize Retrieval-Augmented Generation (RAG) systems using vector databases, embeddings, retrieval strategies, and prompt engineering. Model Implementations: Implement and optimize machine learning models using PyTorch . LLM Evaluation: Evaluate, select, and deploy LLMs based on application needs—balancing model accuracy, latency, cost, and user experience. Production Engineering: Architect, deploy, and maintain production-grade AI solutions focused on reliability, scalability, performance, and security. 📌 Qualifications & Key Requirements Experience: 6+ years of professional software engineering experience. Python Mastery: 6+ years of strong proficiency in Python for AI/ML development. Machine Learning Frameworks: 6+ years of hands-on experience with PyTorch . AI & RAG Systems: Solid understanding of AI agents, RAG components (vector databases, embeddings, retrieval strategies, prompt engineering), and transformer neural network architectures. LLM Providers: Familiarity with major LLM providers (OpenAI, Anthropic, Google, Meta, etc.) and understanding performance/cost/latency trade-offs. Application Integration: Experience integrating AI capabilities directly into production applications, platforms, and services. ✨ Bonus Qualifications: Proficiency in Kotlin programming or full-stack web technologies. Experience with cloud software development (AWS, GCP, Azure) and microservices architecture. Hands-on experience with REST APIs, gRPC, Kafka, Docker, and Kubernetes. Familiarity with AI frameworks like LangChain, LlamaIndex, or AutoGen . ⚠️ Work Authorization Disclaimer Our client is currently unable to support individuals who require visa sponsorship or other employment authorization accommodations. All applicants must be legally authorized to work in the United States on W2 without requiring visa sponsorship now or in the future. 📥 How to Apply If you are a skilled Software Engineer passionate about cutting-edge AI, machine learning, and autonomous technology, we want to hear from you! Please submit your resume and indicate your availability for a quick initial screening call. Show more Show less
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