AI/ML Engineer

AgileGrid Solutions

United States

Remote

USD 130,000 - 210,000

Full time

11 hours ago
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Benefits offered by this job

Health insurance
Remote work options
Training budgets and conference access
Paid time off
Retirement savings plans
Performance-based incentives
Diversity, equity and inclusion

Job summary

New York Technology Partners is seeking an AI/ML Engineer to design, develop, and deploy production-grade AI solutions focused on LLMs, RAG pipelines, and document intelligence. You will work with product managers, clinical experts, and operators to translate complex problems into scalable AI systems in high-stakes environments such as healthcare and enterprise operations.

The role emphasizes hands-on ML/DL/NLP, Python, and modern ML tooling with a strong focus on responsible AI, governance, and

Qualifications

  • 5+ years in building and deploying ML/AI systems with recent hands-on LLM or agentic AI work.
  • Solid foundation in ML, DL, NLP and transformers.
  • Proficiency in Python with PyTorch/TensorFlow.
  • Hands-on with Azure OpenAI, OpenAI or Anthropic platforms.
  • Familiarity with RAG, vector databases, embeddings and LangChain/LangGraph/LlamaIndex.
  • Experience building data/ML pipelines using SQL, Airflow, Spark, Databricks or Snowflake.
  • Knowledge of containerization, CI/CD practices, cloud (Azure preferred) and observability tools.

Responsibilities

  • Design and deploy LLM-powered and agentic AI apps including tool calls and multi-agent orchestration.
  • Build and optimize RAG pipelines for document retrieval and understanding.
  • Develop document intelligence solutions for extraction, classification, OCR, and structured data.
  • Establish evaluation, human-in-the-loop, and feedback mechanisms for AI accuracy.
  • Implement observability to monitor quality, latency, cost, and model performance.
  • Develop production-grade Python services deployed via Docker, CI/CD, Kubernetes, and cloud-native tech.
  • Collaborate with business, clinical, and operational stakeholders to translate problems into scalable AI solutions.
  • Ensure Responsible AI, governance, security, and risk management in deployments.

Skills

Large language models
Agentic AI
Natural language processing
Transformer architectures
Python
PyTorch
TensorFlow

Education

Bachelor's or Master's in Computer Science / Data Science / Machine Learning or equivalent

Tools

Azure OpenAI
OpenAI
Anthropic
LangChain
LangGraph
LlamaIndex
Vector databases
Embeddings
SQL
Airflow
Spark
Databricks
Snowflake
Docker
Kubernetes

Job description

About The Company

New York Technology Partners is a leading technology solutions provider dedicated to delivering innovative and reliable digital transformation services to clients across various industries. With a focus on cutting-edge advancements in artificial intelligence, machine learning, cloud computing, and data analytics, we strive to empower organizations to achieve operational excellence and competitive advantage. Our team comprises highly skilled professionals committed to fostering a collaborative environment that encourages innovation, continuous learning, and impactful problem-solving. We pride ourselves on our client-centric approach, ensuring tailored solutions that meet the unique needs and challenges of each project.

About The Role

We are seeking a highly skilled AI/ML Engineer to join our dynamic team at New York Technology Partners. In this role, you will be responsible for designing, developing, and deploying production-grade machine learning, generative AI, and agentic AI solutions. Your primary focus will be on large language model (LLM) applications, retrieval-augmented generation (RAG) pipelines, document intelligence, and building reliable AI systems. You will collaborate closely with product managers, clinical experts, and operational stakeholders to translate complex business problems into scalable AI solutions that drive value and innovation. This position offers an exciting opportunity to work at the forefront of AI technology, shaping the future of intelligent systems in high-stakes environments like healthcare and enterprise operations.

Qualifications
  • The ideal candidate will possess over five years of experience in building and deploying machine learning and AI systems, with recent hands-on expertise in large language models or agentic AI.
  • A strong foundation in machine learning, deep learning, natural language processing, and transformer architectures is essential.
  • Proficiency in Python, along with experience in PyTorch and/or TensorFlow, is required.
  • Candidates should have practical experience working with LLM platforms such as Azure OpenAI, OpenAI, or Anthropic.
  • Familiarity with retrieval-augmented generation (RAG), vector databases, embeddings, and frameworks like LangChain, LangGraph, or LlamaIndex is highly desirable.
  • Additionally, experience in developing data and ML pipelines using SQL, Airflow, Spark, Databricks, or Snowflake is necessary.
  • Knowledge of containerization, CI/CD practices, cloud platforms (preferably Azure), and observability tools such as Arize or Langfuse will set candidates apart.
  • A bachelor's or master's degree in Computer Science, Data Science, Machine Learning, or a related field, or equivalent professional experience, is required.
Responsibilities
  • As an AI/ML Engineer, your responsibilities will include designing and deploying advanced LLM-powered and agentic AI applications, including tool and function calling, multi-agent orchestration, and integration with MCP systems.
  • You will build and optimize RAG pipelines utilizing embeddings, vector databases, retrieval, re-ranking, and grounding techniques to enhance document retrieval and understanding capabilities.
  • Developing sophisticated document intelligence solutions for extraction, classification, OCR, and structured data generation will be a key aspect of your role.
  • You will establish evaluation frameworks, human-in-the-loop processes, and feedback mechanisms to continually improve AI accuracy and reliability.
  • Implementing observability strategies to monitor system quality, latency, cost, token usage, and model performance is essential to maintain high standards.
  • You will develop production-grade Python services, deploying them through Docker, CI/CD pipelines, Kubernetes, and cloud-native technologies.
  • Collaborating with cross-functional teams—including business, clinical, and operational stakeholders—you will translate complex challenges into scalable AI solutions.
  • Ensuring adherence to Responsible AI principles, governance, security, and risk management practices is integral to your responsibilities, fostering trust and compliance in AI deployments.
Benefits
  • We provide comprehensive health insurance plans, including medical, dental, and vision coverage.
  • Our employees enjoy flexible work arrangements, including remote work options, to promote work-life balance.
  • We support continuous learning through training budgets, certifications, and conference attendance to keep you at the forefront of AI and technology advancements.
  • Our collaborative and inclusive work environment encourages innovation and knowledge sharing.
  • Additional benefits include paid time off, retirement savings plans, and performance-based incentives.
  • We are committed to fostering a culture of diversity, equity, and inclusion, ensuring all team members feel valued and empowered to contribute their best.
Equal Opportunity

New York Technology Partners is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of race, ethnicity, gender, age, religion, sexual orientation, disability, or any other protected characteristic. We believe that a diverse workforce enhances innovation and drives success, and we are dedicated to providing equal employment opportunities to all qualified candidates. Our hiring practices are grounded in fairness, transparency, and respect for individual differences, fostering a workplace where everyone can thrive and contribute meaningfully.

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