AI Engineer

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.”