Full Stack Developer-AI

Role: Full Stack Developer-AI
Location: Jersey City, NJ (5 Days Onsite)
Duration: 6+ Months 

Only W2

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 owning retrieval or recommendation quality in a production system, with the metrics and evaluation discipline to prove improvement.
• 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 recommendation, propensity, ranking, or learning-to-rank models in a production setting.
• Experience with NLP and information retrieval at scale: document understanding and extraction, summarization evaluation, reranking, or speech-to-text and call intelligence.
• Experience with online experimentation and interleaving for retrieval or recommendation quality.
• Experience with CRM data (Salesforce objects, Data Cloud) and with modelling over sales pipeline and engagement data.
• Experience delivering models through model risk management or equivalent regulatory review, including supervision of client-facing generated content.
• Experience working in the financial or payments domain at a large institution (Investment Banking, Markets, Securities Services, or adjacent), or with sales enablement and client service platforms.
• 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.