Remote Senior AI Engineer

Description:

• The Lead/Senior AI Engineer will play a critical role in designing, developing, and deploying AI-driven solutions as part of Solumina AI, iBase-t’s enterprise AI initiative.
• This position will directly contribute to the evolution of smart manufacturing systems by building advanced models that support our four core offerings: Digital SME, Solumina Intelligence, Solumina PulseAI, and Solumina ScanAI.
• You will lead technical design for production-grade, explainable, and secure AI systems using LLMs, NLP, OCR, and GenAI techniques.
• You will also help define the architecture for future AI capabilities, including domain-specific reasoning models and agentic workflows.
• This is a hands-on, high-impact role perfect for engineers who want to shape the future of AI in mission-critical A&D environments.
• Responsibilities include designing, developing, and deploying scalable AI models for Solumina AI offerings, fine-tuning and deploying LLMs using the Hugging Face ecosystem, and building and maintaining AI pipelines leveraging Python, PyTorch, and FastAPI.
• You will collaborate with cross-functional teams to define and implement domain-specific reasoning models for manufacturing and aerospace workflows.
• You will develop future-ready agentic AI workflows to support multi-step task automation and planning.
• You will own the end-to-end ML lifecycle—from data ingestion and preprocessing to model training, evaluation, deployment, and monitoring.
• You will design robust APIs and microservices to integrate AI into the Solumina platform and external interfaces.
• You will apply best practices in responsible AI—ensuring bias mitigation, security, explainability, and traceability.
• Staying current with state-of-the-art AI research, with a focus on foundation models, reasoning agents, and GenAI applications in industrial use cases is also part of the role.
• You will mentor junior engineers and contribute to team-wide best practices in AI architecture and MLOps.

Requirements:

• Expert-level Python skills, with experience in modular, testable, production-quality code are required.
• A minimum of 5 years of software engineering experience is necessary, with preference in industrial enterprise application related areas such as manufacturing, aerospace & defense.
• At least 1.5 years of experience in AI/ML engineering roles, ideally in enterprise or manufacturing-focused products, is required.
• Hands-on experience with the Hugging Face tools, including Transformers, Trainer, Datasets, and model hub integration is essential.
• 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 is necessary.
• Proficiency in PyTorch, with working knowledge of TensorFlow, scikit-learn, and Flask is required.
• Proven experience with LLM training, fine-tuning, and prompt engineering is essential.
• A strong grasp of NLP fundamentals, transformer-based architectures, embeddings, and vector search is required.
• Experience deploying models via containerized services using tools like Docker and FastAPI is necessary.
• Familiarity with cloud ML platforms (e.g., AWS SageMaker, Azure ML, GCP Vertex AI) is required.
• Knowledge of model monitoring, explainability (XAI), and security practices for production AI is essential.
• A Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field is required.

Benefits:

• The company offers a comprehensive benefits package that includes yearly performance bonuses and referral bonuses.
• Employees receive comprehensive medical, dental, and vision plans.
• Company-paid long-term disability (LTD) and short-term disability (STD) insurance, as well as life insurance, are provided.
• Health Savings Account (HSA) and Flexible Spending Account (FSA) options are available.
• Employees enjoy unlimited vacation and 40 hours of sick time per year, along with 11 paid holidays.
• A work-from-home equipment stipend and internet/WIFI stipend are included.
• The company offers a 401K plan with company matching.
• An educational assistance program is available for employees.
• The company values work-life balance and offers remote work, flexible hours, and a wellness program.