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.”
- 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.”