AI Engineer

StatusNeo; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

StatusNeo in New York is seeking an AI Engineer to design, develop, and deploy cutting-edge AI and Generative AI solutions. You will collaborate with product managers, data scientists, and engineers to build intelligent systems that drive business value.

You will design and implement scalable RAG pipelines, AI agents, and data platforms using LangChain, LangGraph, Databricks, Snowflake, and AWS, while ensuring security and HIPAA readiness where applicable.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, AI, Data Science, or a related field.
• 5+ years of software engineering experience.
• 3+ years of experience building AI/ML or Generative AI applications.
• Strong programming skills in Python.
• Experience building production applications using LangChain.
• LangGraph (preferred).
• Prompt Engineering.
• AI Agents.
• Hands-on experience with Databricks.
• Snowflake.
• AWS (Bedrock, S3, Lambda, ECS/EKS, SageMaker, IAM).
• Experience with vector databases such as Pinecone, Weaviate, FAISS, Chroma, or Milvus.
• Experience integrating enterprise data sources and APIs.
• Knowledge of MLOps and model deployment best practices.
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Strong understanding of REST APIs and microservices architecture.
• Familiarity with Git and Agile development methodologies.

Responsibilities

• Design, develop, and deploy production-ready Generative AI and LLM-powered applications.
• Build scalable Retrieval-Augmented Generation (RAG) pipelines using enterprise knowledge sources.
• Develop AI agents and workflow automation using LangChain, LangGraph, or similar orchestration frameworks.
• Build and optimize data pipelines using Databricks, Snowflake, and AWS services.
• Design semantic search solutions using vector databases such as Pinecone, Weaviate, FAISS, Chroma, or Milvus.
• Develop REST APIs and backend services to expose AI capabilities.
• Collaborate with data engineering teams to prepare, transform, and govern structured and unstructured healthcare data.
• Ensure AI solutions meet security, compliance, and privacy requirements, including HIPAA where applicable.
• Optimize model performance, latency, accuracy, and cost.
• Participate in architecture reviews, code reviews, and technical design sessions.
• Stay current with emerging AI technologies and recommend best practices for enterprise adoption.

Skills

Python

LangChain

LangGraph

Prompt Engineering

AI Agents

Databricks

Snowflake

AWS

REST APIs

Kubernetes

Docker

CI/CD

Git

Agile

MLOps

Microservices

Data integration

Education

Bachelor's or Master's degree in Computer Science, Engineering, AI, Data Science, or a related field

Tools

Pinecone

Weaviate

FAISS

Chroma

Milvus

Job description

New York, United States | Posted on 08/20/2026

• CoE/Practice Architecture, Delivery & Leadership
• Work Experience 8+ years
• City New York
• State/Province New York
• Country United States

Job Description

StatusNeo is a global AI-native transformation firm helping enterprises design, engineer, and govern AI-led systems with trust at the core.

We work with global enterprises across BFSI, retail, healthcare, airlines, and platform-driven industries to transform how software is built, operated, and scaled in an AI-first world.

Our work is anchored in Authentic AI™ — an approach that treats AI not as a feature or experiment, but as a continuously evolving system that must be engineered with intent, accountability, and governance.

At StatusNeo, we don’t just talk about AI transformation.

We build it — across engineering platforms, AI-native SDLC, agentic systems, and enterprise operating models.

Role Overview

StatusNeo is seeking a passionateand innovative AI Engineer to design, develop, and deploy cutting-edgeAI and Generative AI solutions. The ideal candidate will have strong expertisein machine learning, large language models (LLMs), AI frameworks, andcloud-native technologies. You will work closely with product managers, datascientists, architects, and engineering teams to build intelligent systems thatdrive business value.

Responsibilities

• Design, develop, and deployproduction-ready Generative AI and LLM-powered applications.
• Build scalable Retrieval-AugmentedGeneration (RAG) pipelines using enterprise knowledge sources.
• Develop AI agents and workflowautomation using LangChain, LangGraph, or similar orchestration frameworks.
• Build and optimize data pipelinesusing Databricks, Snowflake, and AWS services.
• Design semantic search solutionsusing vector databases such as Pinecone, Weaviate, Chroma, or FAISS.
• Develop REST APIs and backendservices to expose AI capabilities.
• Collaborate with data engineeringteams to prepare, transform, and govern structured and unstructured healthcaredata.
• Ensure AI solutions meet security,compliance, and privacy requirements, including HIPAA where applicable.
• Optimize model performance,latency, accuracy, and cost.
• Participate in architecturereviews, code reviews, and technical design sessions.
• Stay current with emerging AItechnologies and recommend best practices for enterprise adoption.

Required Qualifications

• Bachelor's or Master's degree inComputer Science, Engineering, AI, Data Science, or a related field.
• 5+ years of software engineeringexperience.
• 3+ years of experience buildingAI/ML or Generative AI applications.
• Strong programming skills inPython.
• Experience building productionapplications using: LangChain
• LangGraph (preferred)
• Prompt Engineering
• AI Agents
• Hands-on experience with:Databricks
• Snowflake
• AWS (Bedrock, S3, Lambda, ECS/EKS,SageMaker, IAM)
• Experience with vector databasessuch as Pinecone, Weaviate, FAISS, Chroma, or Milvus.
• Experience integrating enterprisedata sources and APIs.
• Knowledge of MLOps and modeldeployment best practices.
• Experience with Docker,Kubernetes, and CI/CD pipelines.
• Strong understanding of REST APIsand microservices architecture.
• Familiarity with Git and Agiledevelopment methodologies.

Preferred Qualifications

• Previous experience in Healthcare,Life Sciences, HealthTech, or Health Insurance.
• Experience working withHIPAA-compliant systems and PHI.
• Knowledge of FHIR, HL7, Epic,Cerner, or other healthcare interoperability standards.
• Experience building AI-poweredclinical assistants, patient engagement platforms, claims automation, orhealthcare knowledge systems.
• Experience evaluating LLMperformance using frameworks such as Ragas, DeepEval, or LangSmith.
• Familiarity with fine-tuning,embeddings, and model evaluation techniques.
• Exposure to multi-agent AI systemsand agentic workflows.