M
AI Engineer
Mindlance
2 hours ago
Full-time
On-site
Jersey City, New Jersey, United States
Job Title: AI Develoer/ ML Engineer
Contract Role
Location: Onsite Jersey City, NJ
Required Qualifications, Capabilities, and Skills: • MS in Computer Science, Statistics, Mathematics, Machine Learning, or related field (or equivalent experience). • Minimum 7 years of development experience, with at least 4 years working on AI/ML solutions. • Hands-on experience building LLM-powered or agentic applications in production, including tracing, evaluations, and guardrails. • Hands-on experience taking predictive or optimization models to production and keeping them healthy there, including validation, monitoring, and retraining. • Practical RAG experience — retrieval quality, embeddings, and vector stores; Graph RAG a strong plus. • Strong programming skills in Python, with deep knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics. • Knowledge of Kubernetes (AWS EKS). • Experience with training models in Databricks and SageMaker. • Experience working with MLflow. • Expert knowledge of at least one of: AWS, Azure, Kubernetes. • Knowledge of data management and data model design; real-time processing using both SQL (e.g., Postgres) and NoSQL stores (e.g., OpenSearch, Redis). • Excellent communication skills with the ability to partner effectively with senior technical and business stakeholders.
Preferred Qualifications, Capabilities, and Skills: • Experience with pricing, revenue management, elasticity, or demand forecasting models in a production setting. • Experience with mathematical optimization (linear and mixed-integer programming, e.g., OR-Tools or Gurobi) and with constrained recommendation problems. • Experience with causal inference, uplift modelling, or experiment design where randomization is limited. • Experience delivering models through model risk management or equivalent regulatory review. • Experience working in the financial or payments domain at a large institution (Investment Banking, Markets, Securities Services, or adjacent), or with commercial card, treasury services, or billing and revenue systems. • Experience with agent frameworks or runtimes, A2A, or MCP. • Agent memory design (memory nodes, episodic/semantic memory) and organizational context management. • Knowledge graphs and graph databases used for retrieval. • Understanding of LLM fine-tuning and small language model inference. • Ability to develop full-stack products using modern JavaScript/TypeScript frameworks (e.g., Next.js, Svelte) for agent UIs (AG-UI / NEO UI SDK). • Knowledge of high-performance languages such as Go or Rust.
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
Required Qualifications, Capabilities, and Skills: • MS in Computer Science, Statistics, Mathematics, Machine Learning, or related field (or equivalent experience). • Minimum 7 years of development experience, with at least 4 years working on AI/ML solutions. • Hands-on experience building LLM-powered or agentic applications in production, including tracing, evaluations, and guardrails. • Hands-on experience taking predictive or optimization models to production and keeping them healthy there, including validation, monitoring, and retraining. • Practical RAG experience — retrieval quality, embeddings, and vector stores; Graph RAG a strong plus. • Strong programming skills in Python, with deep knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics. • Knowledge of Kubernetes (AWS EKS). • Experience with training models in Databricks and SageMaker. • Experience working with MLflow. • Expert knowledge of at least one of: AWS, Azure, Kubernetes. • Knowledge of data management and data model design; real-time processing using both SQL (e.g., Postgres) and NoSQL stores (e.g., OpenSearch, Redis). • Excellent communication skills with the ability to partner effectively with senior technical and business stakeholders.
Preferred Qualifications, Capabilities, and Skills: • Experience with pricing, revenue management, elasticity, or demand forecasting models in a production setting. • Experience with mathematical optimization (linear and mixed-integer programming, e.g., OR-Tools or Gurobi) and with constrained recommendation problems. • Experience with causal inference, uplift modelling, or experiment design where randomization is limited. • Experience delivering models through model risk management or equivalent regulatory review. • Experience working in the financial or payments domain at a large institution (Investment Banking, Markets, Securities Services, or adjacent), or with commercial card, treasury services, or billing and revenue systems. • Experience with agent frameworks or runtimes, A2A, or MCP. • Agent memory design (memory nodes, episodic/semantic memory) and organizational context management. • Knowledge graphs and graph databases used for retrieval. • Understanding of LLM fine-tuning and small language model inference. • Ability to develop full-stack products using modern JavaScript/TypeScript frameworks (e.g., Next.js, Svelte) for agent UIs (AG-UI / NEO UI SDK). • Knowledge of high-performance languages such as Go or Rust.
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”