Senior AI Developer / Engineer

Innova Solutions • Jersey City, NJ

5d • Onsite

About The Position

Innova Solutions is hiring a Senior AI Developer / Engineer for an onsite role in Jersey City, New Jersey. This is a W-2 contract position with an initial duration of six or more months. The role focuses on developing production AI/ML solutions, including LLM-powered and agentic applications, and owning retrieval or recommendation quality. The successful candidate will work with technical and business stakeholders and apply strong skills in Python, machine learning, retrieval, data management, and cloud and model-development platforms.

Requirements

• Master’s degree in Computer Science, Statistics, Mathematics, Machine Learning, or a related field, or equivalent experience.
• At least 7 years of development experience, including 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 metrics and evaluation practices to prove improvement.
• Practical RAG experience involving retrieval quality, embeddings, and vector stores.
• Strong Python programming skills and deep knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics.
• Knowledge of Kubernetes, including AWS EKS.
• Experience training models in Databricks and SageMaker.
• Experience working with MLflow.
• Expert knowledge of at least one of AWS, Azure, or Kubernetes.
• Knowledge of data management and data-model design, and real-time processing with SQL and NoSQL stores such as Postgres, OpenSearch, or Redis.
• Excellent communication skills and ability to work effectively with senior technical and business stakeholders.
• Must be eligible to work on a W-2 basis; 1099 and Corp-to-Corp arrangements are not accepted.

Nice To Haves

• Graph RAG experience.
• Experience with recommendation, propensity, ranking, or learning-to-rank models in production.
• Experience with NLP and information retrieval at scale, including document understanding and extraction, summarization evaluation, reranking, speech-to-text, or call intelligence.
• Experience with online experimentation and interleaving for retrieval or recommendation quality.
• Experience with CRM data, including Salesforce objects and Data Cloud, and modeling sales pipeline and engagement data.
• Experience delivering models through model risk management or equivalent regulatory review, including supervision of client-facing generated content.
• Experience in financial or payments organizations, such as investment banking, markets, or securities services, or with sales enablement and client service platforms.
• Experience with agent frameworks or runtimes, A2A, or MCP.
• Experience designing agent memory, including memory nodes and episodic or semantic memory, and managing organizational context.
• Experience with knowledge graphs and graph databases for retrieval.
• Understanding of LLM fine-tuning and small language model inference.
• Ability to develop full-stack products using modern JavaScript or TypeScript frameworks such as Next.js or Svelte for agent UIs (AG-UI / NEO UI SDK).
• Knowledge of high-performance languages such as Go or Rust.

Responsibilities

• Build and deliver production AI/ML solutions, including LLM-powered or agentic applications.
• Implement and maintain production application tracing, evaluations, and guardrails.
• Own retrieval or recommendation quality in production and use metrics and evaluation practices to demonstrate improvement.
• Develop practical RAG solutions, including retrieval quality, embeddings, and vector-store use.
• Train models using Databricks and SageMaker and work with MLflow.
• Work with data models and data-management systems, including real-time processing using SQL and NoSQL stores.
• Partner effectively with senior technical and business stakeholders.
• Develop models and applications in areas such as recommendations, ranking, NLP, or information retrieval, as applicable to the role.

Benefits

• Medical and pharmacy coverage, subject to eligibility.
• Dental and vision insurance.
• 401(k).
• Health savings account (HSA) and flexible spending account (FSA).
• Life insurance.
• Pet insurance.
• Short-term and long-term disability coverage.
• Accident and critical illness coverage.
• Prepaid legal and identity theft protection.
• Sick time and other paid leaves as required by law.
• Employee Assistance Program (EAP).

What This Job Offers

• Job Type: Full-time
• Career Level: Senior