Senior AI Engineer

Summary

Join iBase-t's Solumina AI initiative as a Lead/Senior AI Engineer, playing a critical role in designing, developing, and deploying AI-driven solutions for smart manufacturing systems. You will build advanced models supporting core offerings, lead technical design for production-grade AI systems using LLMs, NLP, OCR, and GenAI, and help define the architecture for future AI capabilities. This hands-on role involves developing scalable AI models, fine-tuning LLMs, building AI pipelines, collaborating with cross-functional teams, and owning the end-to-end ML lifecycle. You will also design robust APIs, apply responsible AI best practices, stay current with AI research, and mentor junior engineers. This position is ideal for engineers wanting to shape the future of AI in mission-critical environments.

Requirements

• Expert-level Python skills, with experience in modular, testable, production-quality code
• 5+ years of software engineering experience (with preference in industrial enterprise application related areas such as manufacturing, aerospace & defense)
• 1.5+ years of experience in AI/ML engineering roles, ideally in enterprise or manufacturing-focused products
• Hands-on experience with the Hugging Face tools, including Transformers, Trainer, Datasets, and model hub integration
• Demonstrated experience developing AI-driven applications that leverage RAG, tool calling, and/or agent orchestration via frameworks like LangChain, LangFlow, or LlamaIndex and infrastructure components like Vector Databases and Document Parsing tools
• Proficiency in PyTorch, with working knowledge of TensorFlow, scikit-learn, Flask
• Proven experience with LLM training, fine-tuning, and prompt engineering
• Strong grasp of NLP fundamentals, transformer-based architectures, embeddings, and vector search
• Experience deploying models via containerized services using tools like Docker and FastAPI
• Familiarity with cloud ML platforms (e.g., AWS SageMaker, Azure ML, GCP Vertex AI)
• Knowledge of model monitoring, explainability (XAI), and security practices for production AI
• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field

Responsibilities

• Design, develop, and deploy scalable AI models for Solumina AI offerings including knowledge retrieval, anomaly detection, document parsing, and intelligent reporting
• Fine-tune and deploy LLMs using the Hugging Face ecosystem (Transformers, Datasets, Evaluate, Accelerate)
• Build and maintain AI pipelines leveraging Python, PyTorch, and FastAPI to enable model deployment and inference at scale
• Collaborate with cross-functional teams to define and implement domain-specific reasoning models for manufacturing and aerospace workflows
• Develop future-ready agentic AI workflows to support multi-step task automation and planning
• Own the end-to-end ML lifecycle—from data ingestion and preprocessing to model training, evaluation, deployment, and monitoring
• Design robust APIs and microservices to integrate AI into the Solumina platform and external interfaces
• Apply best practices in responsible AI—ensuring bias mitigation, security, explainability, and traceability
• Stay current with state-of-the-art AI research, with a focus on foundation models, reasoning agents, and GenAI applications in industrial use cases
• Mentor junior engineers and contribute to team-wide best practices in AI architecture and MLOps

Preferred Qualifications

• Experience building multi-agent systems or reasoning-based AI workflows
• Exposure to knowledge graphs, symbolic reasoning, or hybrid (neuro-symbolic) AI models
• Familiarity with OCR pipelines and document intelligence tools
• Experience with vector databases like Pinecone, FAISS, or Weaviate
• Prior experience working in aerospace & defense or manufacturing systems
• Contributions to open-source AI/ML projects or academic publications

Benefits

• Yearly Performance Bonuses
• Referral Bonuses
• Comprehensive Medical/Dental/Vision Plans
• Company Paid LTD/STD
• Company Paid Life Insurance
• HSA/FSA
• Unlimited Vacation
• 40 hours of sick time per year
• Paid Holidays (11 per year)
• WFH Equipment Stipend
• Internet/WIFI stipend
• 401K - company match
• Educational Assistance Program
• Remote Work
• Flexible hours
• Wellness program