Senior AI Engineer

Envision Technology Solutions
New Jersey, United StatesFull-timePosted Sep 16, 2026

About the role

We are looking for a Senior AI Engineer to design, build, and run production AI solutions, including AI agents, retrieval-augmented generation (RAG), and LLM-powered automation. You will take use cases from discovery to production, making sure solutions are reliable, secure, and cost-effective.

Key Responsibilities

Design and build AI agents and multi-step agentic workflows that automate business processes.

Integrate LLMs with internal systems and data through APIs and MCP (Model Context Protocol).

Build RAG, vector search, and embedding pipelines over documents and knowledge bases.

Develop document processing pipelines to extract and validate structured data.

Implement output validation, evaluation frameworks, and human-in-the-loop review.

Build AI observability covering quality, latency, failure rates, and cost, with alerting.

Work with data engineering teams on AI-ready data pipelines and models.

Enforce data security, privacy, and PII handling across AI solutions.

Own CI/CD, infrastructure-as-code, and deployment of AI services.

Work with business stakeholders to scope use cases and define success metrics.

Write architecture decision records, review code, and mentor engineers.

Required Qualifications

8+ years in software, data, or ML engineering, including 2+ years delivering LLM or GenAI solutions to production.

Strong Python and SQL skills.

Hands-on experience with LLM APIs (OpenAI, Anthropic, Azure OpenAI), prompt engineering, and structured outputs.

Proven experience with RAG, vector databases, and embeddings.

Experience building AI agents or agentic workflows.

Solid data engineering background with a cloud data platform (Snowflake, Databricks, or similar), orchestration (Airflow or similar), and dbt.

Production experience on AWS, Azure, or GCP, with Docker, CI/CD, and Terraform.

Understanding of data security, privacy, and governance.

Strong communication skills with both technical and non-technical audiences.

Preferred Qualifications

Experience building MCP servers or gateways.

Intelligent document processing or OCR experience.

MLOps experience, including feature stores, model deployment, and GPU inference.

Experience with AI evaluation, observability, and cost optimization.

Background in financial services or another regulated industry.

Master's degree in Computer Science, AI, or a related field.

Cloud or data platform certifications (AWS ML, Snowflake, Azure AI).

Regular use of AI-assisted development tools such as Claude Code or GitHub Copilot.

Tech Stack

Python, SQL, LLM APIs, agent frameworks, MCP, vector databases, Snowflake/Databricks, dbt, Airflow, AWS/Azure/GCP, Docker, Terraform, GitHub Actions, Datadog

Responsibilities

  • Design and build AI agents and multi-step agentic workflows that automate business processes
  • Integrate LLMs with internal systems and data through APIs and MCP
  • Build RAG, vector search, and embedding pipelines over documents and knowledge bases
  • Develop document processing pipelines to extract and validate structured data
  • Implement output validation, evaluation frameworks, and human-in-the-loop review
  • Build AI observability covering quality, latency, failure rates, and cost, with alerting
  • Work with data engineering teams on AI-ready data pipelines and models
  • Enforce data security, privacy, and PII handling across AI solutions

Qualifications

  • 8+ years in software, data, or ML engineering, including 2+ years delivering LLM or GenAI solutions to production
  • Strong Python and SQL skills
  • Hands-on experience with LLM APIs, prompt engineering, and structured outputs
  • Proven experience with RAG, vector databases, and embeddings
  • Experience building AI agents or agentic workflows
  • Solid data engineering background with a cloud data platform
  • Production experience on AWS, Azure, or GCP, with Docker, CI/CD, and Terraform
  • Understanding of data security, privacy, and governance

Skills mentioned

PythonSQLRetrieval-Augmented GenerationAI AgentsModel Context ProtocolEmbeddingsData EngineeringTerraformDockerCI/CD

About Envision Technology Solutions

Envision Technology Solutions (ETS) is a leading staffing and recruitment firm specializing in providing top-tier talent and workforce solutions across industries. With a proven track record, we connect exceptional candidates with exceptional opportunities, helping businesses thrive and individuals achieve their career goals. ETS has a team of highly skilled recruiters and industry experts with in-depth knowledge of different sectors. Leveraging our expertise, we identify, attract, and select the best candidates for clients' unique requirements. Our extensive network and thorough screening processes ensure presenting only the most qualified candidates. We have expertise in IT, Technology, Finance, Accounting, Engineering, Marketing, and more. Specialized recruiters understand sector-specific challenges, enabling tailored staffing solutions. Why Choose ETS: • Proven Track Record: Proven results through successful placements and partnerships. • Extensive Talent Network: Diverse candidate sourcing through vast network. • Personalized Approach: Customized solutions for clients and candidates. • Industry Knowledge: Cutting-edge staffing solutions through trend awareness. • Commitment to Excellence: Exceptional service, exceeding expectations for success. Connect with us to stay updated on the latest job opportunities, industry insights, and professional development resources. Let us help you find the right talent or discover your next career move!

IT Services and IT Consulting51-200 employeesCharlotte, North Carolina

H-1B sponsorship history

Historical employer filing data was found for Envision Technology Solutions. The employer record includes 4 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.