Sr AI Development Platform Engineer

NYC, NY, US • Posted 13 hours ago • Updated 13 hours ago

Contract W2

On-site

Up to $90/hr

Learn Beyond Consulting LLC

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

API
Acceptance Testing
Agile
Apache Kafka
Application Development
Articulate
Artificial Intelligence
Authentication
Authorization
Behavior-driven Development
Big Data
Caching
Cloud Computing
Collaboration
Communication
Configuration Management
Continuous Delivery
Continuous Integration
Data Engineering
Data Governance
Database
Deep Learning
DevOps
Development Management
Docker
Documentation
Flask
Generative Artificial Intelligence (AI)
Grafana
Information Security
JFrog
Jenkins
Kubernetes
LangChain
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Management
Microservices
Multithreading
NoSQL
OAuth
Orchestration
Performance Testing
Privacy
PyTorch
Python
RESTful
Redis
SQL
SaaS
Scrum
Software Configuration
Software Engineering
Storage
TensorFlow
Unit Testing
Use Cases
Workflow

Summary

Senior AI Development Platform Engineer

9 months

NYC, NY

Primary Responsibilities

Develop tooling and self-service capabilities for deploying AI solutions for the firm. Collaborate with other developers to enhance the developer experience when building and deploying AI applications.
Have a platform mindset and build common, reusable solutions to scale Generative AI use cases using pre-trained models as well as fine-tuned models.
Collaborate with product manager, other tech leads, junior staff and other stakeholders to analyze requirements, translate them into technical specification and architecture documentation.
Design scalable, robust, secure, and flexible architecture of components of the AI development platform.
Leverage Kubernetes/OpenShift to develop modern containerized workloads.
Leverage container registries like JFrog artifactory, container packaging/configuration management technologies like Helm & Kustomize, and GitOps deployment methods to orchestrate, manage and deploy these workloads.
Integrate with capabilities such as large-scale vector stores for embeddings.
Author best practices on the Generative AI ecosystem, when to use which tools, available models such as GPT, Llama, Hugging Face etc. and libraries such as Langchain.
Analyze, investigate, and implement GenAI solutions focusing on Agentic Orchestration and Agent Builder frameworks.
Contribute to major design decisions and product selection for building Generative AI solutions. Inclusive of app authentication, service communication, state externalization, container layering strategy and immutability.
Ensure AI platform are reliable, scalable, and operational; (e.g. blueprints for upgrade/release strategies (E.g. Blue/Green); logging/monitoring/metrics; automation of system management tasks)
Participate in all team s Agile/ Scrum ceremonies.

Required Skills

Strong hands-on Application Development background in at least one prominent programming language, preferably Python Flask or FAST Api.
Broad understanding of data engineering (SQL, NoSQL, Big Data, Kafka, Redis), data governance, data privacy and security.
Experience in development, management, and deployment of Kubernetes workloads, preferably on OpenShift.
Experience with designing, developing, and managing RESTful services for large-scale enterprise solutions.
Hands-on experience with multiprocessing, multithreading, asynchronous I/O, performance profiling in at least one prominent programming language, preferably python.
Practitioner of unit testing, performance testing and BDD/acceptance testing.
Understanding of OAuth 2.0 protocol for secure authorization.
Proficiency with Open Telemetry tools including Grafana, Loki, Prometheus, and Cortex.
Demonstrated experience in DevOps, understanding of CI/CD (Jenkins) and GitOps.
Ability to articulate technical concepts effectively to diverse audiences.
Strong desire and ability to influence development teams and help them adopt AI.
Demonstrated ability to work effectively and collaboratively in a global organization, across time zones, and across organizations.
Understanding of deep learning, understanding of Machine Learning frameworks such as TensorFlow or PyTorch.
Understanding of Information Security, Secure coding practices.
Experience in building cloud and container native applications.
Knowledge of DevOps and Agile practices.
Excellent communication skills.

Desired Skills

Strong understanding and experience designing and building software following cloud-native architecture with microservices, Kubernetes, docker, kafka, etc.
Good knowledge of Microservice based architecture, industry standards, for both public and private cloud.
Good understanding of modern Application configuration techniques.
Hands on experience with Cloud Application Deployment patterns like Blue/Green.
Good understanding of State sharing between scalable cloud components (Kafka, dynamic distributed caching).
Good knowledge of various DB engines (SQL, Redis, Kafka, etc) for cloud app storage.
Experience building AI applications, preferably Generative AI and LLM based apps.
Deep understanding of AI agents, Agentic Orchestration, Multi-Agent Workflow Automation, along with hands-on experience in Agent Builder frameworks such Lang Chain and Lang Graph.
Experience working with Generative AI development, embeddings, fine tuning of Generative AI models.
Understanding of ModelOps/ ML Ops/ LLM Op.
Understanding of SRE techniques.
Understanding of Responsible AI, AI Ethics.
Understanding of Information Security, Secure coding practices.

Qualifications:

Bachelor s or Master s degree in Computer Science or related field, or equivalent job experience
10+ years of experience in software engineering, design, and development
5+ years of experience architecting distributed systems.
1+ year of experience building AI applications, preferably Generative AI and LLM based apps.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91126603
Position Id: 8887361
Posted 13 hours ago

Company Info

About Learn Beyond Consulting LLC

Our company was established with primary goal to deliver quality and cost effective IT consultancy and support to everyone who requires them.

Learn Beyond Consulting is a global consulting powerhouse. We are a team of high-skilled professionals who care about the level of information technology integration in modern business. As a team collectively We have more than 50 years of experience in IT industry..

We achieved our success because of how successfully we integrate with our clients. One complaint many people have about consultants is that they can be disruptive. Employees fear outside consultants coming in and destroying the workflow. Our clients face no such issues.

We believe in partnering, through close association with our clients to first understand and define what is truly needed, and then jointly work to create complete, customized business solutions tailored to their unique requirements.

Our methodology includes a very advanced approach to performance management ensuring the desired results are defined in clear measurable terms.

Our Vision is To provide Continuous Value Addition to our Clients by leveraging the Latest and most Innovative Technologies by Delivering Excellent Business Solutions.

We understand that each client has his own unique needs, definition of value, which must be sustained over a period of time as conditions and priorities change

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