Open Systems Inc. · 8 hours ago
Entry-Level ML/AI Engineer (Only USC)
United States
Contract
Remote
New Grad, Entry LevelOpen Systems Inc. is seeking an Entry-Level ML/AI Engineer to architect, implement, and optimize advanced AI solutions with a focus on Large Language Models and workflow automation. The role involves designing AI-driven systems, developing agentic pipelines, and implementing advanced Retrieval-Augmented Generation solutions to support engineering automation and decision-making processes.
ConsultingInformation TechnologyRecruitingSoftwareStaffing Agency
No H1B
U.S. Citizen OnlyHiring Manager
Ravi Rajput
Responsibilities
Design and build advanced AI-driven systems utilizing LLMs (e.g., Azure OpenAI GPT models, Claude, Llama, Mistral, Gemini, and open-source models) for text understanding, generation, summarization, and contextual reasoning within engineering workflows
Architect and deploy agentic pipelines, including multi-agent systems, autonomous LLM agents, and chain-of-thought/reasoning systems, to enable process automation, decision support, and engineering knowledge orchestration
Develop and implement advanced Retrieval-Augmented Generation (RAG) solutions by combining LLMs with vector databases, search engines, and enterprise knowledge sources for high-fidelity document analysis and Q&A
Enable end-to-end automation of complex, human-in-the-loop processes by chaining LLMs, expert systems, and external tools using orchestration frameworks such as LangChain, LlamaIndex, Haystack, and CrewAI
Evaluate, select, and integrate modern and emerging AI tools, APIs, and infrastructure, including LLMOps, vector stores, document loaders, prompt management systems, and agent frameworks
Fine-tune, deploy, and monitor LLMs on private or in-house datasets to address domain-specific challenges while ensuring compliance and data privacy
Stay current with the rapidly evolving AI landscape, including open-weight models, efficient architectures, guardrails, synthetic data, evaluation techniques, and multimodal models, and introduce innovative approaches into the organization
Qualification
Required
Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, or a related field
Deep expertise in building solutions with commercial and open-source LLMs, including prompt engineering, model selection, fine-tuning, and evaluation
Hands-on experience developing agentic pipelines and workflow automation using frameworks such as LangChain, LlamaIndex, Semantic Kernel, and Haystack, as well as orchestrating cloud or on-prem LLM endpoints
Proven experience designing RAG systems, including vector database management, chunking strategies, search optimization, and retrieval pipelines using technologies such as Pinecone, Weaviate, FAISS, ChromaDB, and Elasticsearch
Working knowledge of multimodal AI (text, audio, image, diagram, and video processing), graph-based retrieval, knowledge graphs, and semantic search
Strong Python skills and extensive experience with modern AI/ML/NLP libraries and frameworks, including Transformers, Pydantic, FastAPI, Hugging Face, and Azure OpenAI
Experience integrating AI solutions into real-world engineering or enterprise applications, including APIs, plugins, workflow tools, agent frameworks, and MLOps/LLMOps platforms
Familiarity with advanced prompting techniques, AI safety and guardrails, evaluation and monitoring of AI systems, and the use of synthetic data
Direct experience with Large Language Models (LLMs), advanced Retrieval-Augmented Generation (RAG) systems, or agentic pipelines
Hands-on experience with RAG-based applications, forecasting models, and relevant frameworks such as LangChain and LlamaIndex, along with solid machine learning and cloud deployment experience
Preferred
Experience optimizing AI systems for cost, latency, reliability, and scalability in production environments
Understanding of privacy, security, and compliance requirements in LLM and AI applications, including PII handling, access controls, and audit trails
Experience orchestrating multi-agent and agentic workflows using frameworks such as CrewAI, AutoGen, or OpenAgents
Familiarity with CI/CD pipelines for AI systems, containerization technologies (Docker), and cloud AI services such as Azure ML, AWS SageMaker, and GCP Vertex AI
Company
Open Systems Inc.
Open Systems Inc. (OSI) provides Technical Consulting, Professional Staffing and Contingent Workforce Management (CWM) solutions.
Founded in 1994
201-500 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase