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Senior Python developer- Gen AI

Zealogics

New York, New York • Today

Easy Apply

Contract, Third Party

Depends on Experience

Python Developer / Engineer, Design API/SDK, Gen AI, Kubernetes, DevOps, TDD 12+ Mths Cont, NYC, NY

Zen & Art

New York, New York • Today

Easy Apply

Contract, Third Party

Senior Python Developer

Software Guidance & Assistance

New York, New York • Today

Contract

USD 85.00 - 89.43 per hour

Senior Python Developer / AI-ML Engineer

Vertex Computer Systems

Hybrid in New York, New York • 10d ago

Easy Apply

Full-time

75 - 90

Sr. Gen AI Engineer

Photon

New York, New York • Today

Easy Apply

Full-time

Depends on Experience

Senior AI Platform Developer using Python

SANS

New York, New York • Yesterday

Easy Apply

Contract

89 - 101

Generative AI - Lead Python Developer - Vice President

Citi

Jersey City, New Jersey • Today

Full-time

USD 142,320.00 - 213,480.00 per year

Sr. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)

Capital One

New York, New York • Today

Full-time

Lead Software Developer - Python, AWS & AI Platform

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 175,750.00 - 260,000.00 per year

Temporary Manager - Python Developer, Risk Technology & AI

RSM US LLP

New York, New York • Today

Full-time

Compensation information provided in the description

Senior Python Risk Developer

Apex Systems

Jersey City, New Jersey • Today

Easy Apply

Full-time

$59 - $60 per hour

IOS Developer with Gen AI

Hermitage Info Tech, LLC.

Hybrid in Piscataway, New Jersey • 5d ago

Easy Apply

Full-time

70,000 - 120,000

Sr Lead Software Engineer - Java, Python, AI/ML

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 175,750.00 - 260,000.00 per year

Senior Developer (AI / Agentic Solutions)

New York Technology Partners

Remote • 7d ago

Easy Apply

Contract

Depends on Experience

Senior Lead Software Engineer - AI/ML Developer

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 175,750.00 - 260,000.00 per year

Senior Conversational AI Developer - Dialogflow CX

Crossfire Consulting Corp

New York, New York • Today

Full-time

Sr Gen AI Engineer

Whiztek Corp

Remote • 5d ago

Easy Apply

Third Party, Contract

Depends on Experience

Gen AI Architect/Lead

IKCON TECHNOLOGIES Inc.

Newark, New Jersey • 4d ago

Easy Apply

Third Party, Contract

Need Gen AI Engineer with Java, Python Programming exp - 100% Remote (Fulltime)

Smart Caliber Technology

Remote • Today

Easy Apply

Full-time, Third Party

Depends on Experience

Full-stack AI Engineer NYC, NY (Hybrid)-Banking/financial domain

Empower Professionals

Hybrid in New York, New York • 4d ago

Easy Apply

Contract, Third Party

60 - 65

Senior AI Developer (Palantir AI Platform)

Vaco by Highspring

Remote • 6d ago

Easy Apply

Full-time

Depends on Experience

Senior Lead Software Engineer - Java or Python, Agentic AI

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 175,750.00 - 260,000.00 per year

Senior Game Engineer, Gen AI - Games

Netflix, Inc.

Remote • Today

Full-time

USD 315,000.00 - 535,000.00 per year

Senior Generative AI Python Engineer

EPAM Systems

Remote • Today

Full-time

AI Engineer

Brilliant Infotech Inc.

Edison, New Jersey • Today

Easy Apply

Third Party, Contract

Depends on Experience

Senior AI Engineer/ Node.js, Python, Typescript

EPAM Systems

Remote • Today

Full-time

Senior AI Engineer (Python)

Miratech

Remote • Today

Full-time

Senior AI Engineer (Agentic AI, AWS Bedrock & Python)

Simple Solutions

Remote • Today

Easy Apply

Contract, Third Party

70 - 95

AI Architect with Python

Coretek Labs

Hybrid in Bernards, New Jersey • 4d ago

Third Party, Contract

Depends on Experience

Python Developer - AWS, AI, LLM - ZL

SES

Remote • Today

Easy Apply

Full-time

Depends on Experience

Zealogics

Job Details

Skills

Computer Science
C#
Cloud Computing
Communication
Continuous Delivery
Artificial Intelligence
Authentication
Authorization
Automated Testing
Agile
Amazon Web Services
Apache Kafka
Google Cloud Platform
FOCUS
Generative Artificial Intelligence (AI)
Good Clinical Practice
Dependency Injection
Design Review
DevOps
Development Management
Articulate
Integration Testing
Interfaces
Jenkins
Continuous Integration
Data Structure
Database
Orchestration
Microservices
Microsoft
Microsoft Azure
Multithreading
Grafana
Java
Kubernetes
LangChain
Software Configuration
Management
OAuth
Python
Redis
SQL
Scrum
Software Design
Software Engineering
Storage
Terraform
Test-driven Development
Use Cases
Workflow
Below is a sample of potential responsibilities depending on product / focus area Develop tooling and self-service capabilities for deploying AI solutions for the firm leveraging Kubernetes
authentication solutions
APIs
REST framework
etc 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. Leverage Kubernetes to develop modern containerized 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. Participate in all team's Agile/ Scrum ceremonies. What you'll bring to the role: Bachelor's or Master's degree in Computer Science or related field
or equivalent job experience 10+ years of overall experience in software engineering
design and development 5+ years of hands-on experience building and maintaining production Python applications or libraries
using idiomatic Python
type annotations
and static analysis Prior production development experience in a statically typed language
such as Java or C#
with an understanding of explicit contracts
type safety
and maintainable software design. Experience designing and maintaining modular
readable
well-tested production code
with clear interfaces
appropriate abstractions
consistent coding standards
and effective dependency management. Understanding of dependency injection and inversion of control
with experience using DI containers or equivalent dependency-management approaches. Strong understanding of data structures and software design principles
with the ability to apply appropriate patterns without unnecessary complexity. Experience with test-driven development (TDD)
automated unit and integration testing
and designing code that can be tested independently of external services. Experience participating in design reviews and code reviews
with a focus on maintainability
testability
and long-term ownership. Experience with designing APIs and SDKs Experience in development
and deployment of Kubernetes workloads. Hands-on experience with multiprocessing
asynchronous I/O
performance profiling in at least one prominent programming language Ability to articulate technical concepts effectively to diverse audiences. Excellent communication skills. Demonstrated experience in DevOps
understanding of CI/CD (Jenkins) and GitOps. Knowledge of DevOps and Agile practices. Nice to have Experience deploying applications on Azure
AWS
and/or GCP using IaC (Terraform) Understanding of OAuth 2.0 protocol for secure authorization. Experience with Open Telemetry tools including Grafana
Loki
Prometheus
and Cortex. Good knowledge of Microservice based architecture
industry standards
for both public and private cloud. Good understanding of modern Application configuration techniques. Good knowledge of various DB engines (SQL
Kafka
etc) for cloud app storage. Deep understanding of AI agents
Agentic Orchestration
Multi-Agent Workflow Automation
along with hands-on experience in Agent Builder frameworks such Lang Chain
Lang Graph
Microsoft Agent Framework. Experience working with Generative AI development
embeddings. Understanding of SRE techniques.

Computer Science
C#
Cloud Computing
Communication
Continuous Delivery
Artificial Intelligence
Authentication
Authorization
Automated Testing
Agile
Amazon Web Services
Apache Kafka
Google Cloud Platform
FOCUS
Generative Artificial Intelligence (AI)
Good Clinical Practice
Dependency Injection
Design Review
DevOps
Development Management
Articulate
Integration Testing
Interfaces
Jenkins
Continuous Integration
Data Structure
Database
Orchestration
Microservices
Microsoft
Microsoft Azure
Multithreading
Grafana
Java
Kubernetes
LangChain
Software Configuration
Management
OAuth
Python
Redis
SQL
Scrum
Software Design
Software Engineering
Storage
Terraform
Test-driven Development
Use Cases
Workflow
Below is a sample of potential responsibilities depending on product / focus area Develop tooling and self-service capabilities for deploying AI solutions for the firm leveraging Kubernetes
authentication solutions
APIs
REST framework
etc 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. Leverage Kubernetes to develop modern containerized 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. Participate in all team's Agile/ Scrum ceremonies. What you'll bring to the role: Bachelor's or Master's degree in Computer Science or related field
or equivalent job experience 10+ years of overall experience in software engineering
design and development 5+ years of hands-on experience building and maintaining production Python applications or libraries
using idiomatic Python
type annotations
and static analysis Prior production development experience in a statically typed language
such as Java or C#
with an understanding of explicit contracts
type safety
and maintainable software design. Experience designing and maintaining modular
readable
well-tested production code
with clear interfaces
appropriate abstractions
consistent coding standards
and effective dependency management. Understanding of dependency injection and inversion of control
with experience using DI containers or equivalent dependency-management approaches. Strong understanding of data structures and software design principles
with the ability to apply appropriate patterns without unnecessary complexity. Experience with test-driven development (TDD)
automated unit and integration testing
and designing code that can be tested independently of external services. Experience participating in design reviews and code reviews
with a focus on maintainability
testability
and long-term ownership. Experience with designing APIs and SDKs Experience in development
and deployment of Kubernetes workloads. Hands-on experience with multiprocessing
asynchronous I/O
performance profiling in at least one prominent programming language Ability to articulate technical concepts effectively to diverse audiences. Excellent communication skills. Demonstrated experience in DevOps
understanding of CI/CD (Jenkins) and GitOps. Knowledge of DevOps and Agile practices. Nice to have Experience deploying applications on Azure
AWS
and/or GCP using IaC (Terraform) Understanding of OAuth 2.0 protocol for secure authorization. Experience with Open Telemetry tools including Grafana
Loki
Prometheus
and Cortex. Good knowledge of Microservice based architecture
industry standards
for both public and private cloud. Good understanding of modern Application configuration techniques. Good knowledge of various DB engines (SQL
Kafka
etc) for cloud app storage. Deep understanding of AI agents
Agentic Orchestration
Multi-Agent Workflow Automation
along with hands-on experience in Agent Builder frameworks such Lang Chain
Lang Graph
Microsoft Agent Framework. Experience working with Generative AI development
embeddings. Understanding of SRE techniques.

Summary

Below is a sample of potential responsibilities depending on product / focus area

Develop tooling and self-service capabilities for deploying AI solutions for the firm leveraging Kubernetes, Python, authentication solutions, APIs, REST framework, etc
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.
Leverage Kubernetes to develop modern containerized 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.
Participate in all team's Agile/ Scrum ceremonies.

What you'll bring to the role:

Bachelor's or Master's degree in Computer Science or related field, or equivalent job experience
10+ years of overall experience in software engineering, design and development
5+ years of hands-on experience building and maintaining production Python applications or libraries, using idiomatic Python, type annotations, automated testing, and static analysis
Prior production development experience in a statically typed language, such as Java or C#, with an understanding of explicit contracts, type safety, and maintainable software design.
Experience designing and maintaining modular, readable, well-tested production code, with clear interfaces, appropriate abstractions, consistent coding standards, and effective dependency management.
Understanding of dependency injection and inversion of control, with experience using DI containers or equivalent dependency-management approaches.
Strong understanding of data structures and software design principles, with the ability to apply appropriate patterns without unnecessary complexity.
Experience with test-driven development (TDD), automated unit and integration testing, and designing code that can be tested independently of external services.
Experience participating in design reviews and code reviews, with a focus on maintainability, testability, and long-term ownership.
Experience with designing APIs and SDKs
Experience in development, management, and deployment of Kubernetes workloads.
Hands-on experience with multiprocessing, multithreading, asynchronous I/O, performance profiling in at least one prominent programming language
Ability to articulate technical concepts effectively to diverse audiences.
Excellent communication skills.
Demonstrated experience in DevOps, understanding of CI/CD (Jenkins) and GitOps.
Knowledge of DevOps and Agile practices.

Nice to have

Experience deploying applications on Azure, AWS, and/or Google Cloud Platform using IaC (Terraform)
Understanding of OAuth 2.0 protocol for secure authorization.
Experience with Open Telemetry tools including Grafana, Loki, Prometheus, and Cortex.
Good knowledge of Microservice based architecture, industry standards, for both public and private cloud.
Good understanding of modern Application configuration techniques.
Good knowledge of various DB engines (SQL, Redis, Kafka, etc) for cloud app storage.
Deep understanding of AI agents, Agentic Orchestration, Multi-Agent Workflow Automation, along with hands-on experience in Agent Builder frameworks such Lang Chain, Lang Graph, Microsoft Agent Framework.
Experience working with Generative AI development, embeddings.
Understanding of SRE techniques.

Company Info

About Zealogics

Welcome to Zealogics

Zealogics LLC provides a broad range of IT consulting, systems implementation and application outsourcing services through an optimized global delivery model. Zealogics also built deep knowledge of traditional product engineering across mechanical, electronics and software platforms, to enable clients to navigate their digital transformation.

Zealogics value engineering techniques, automation frameworks, and reference models are refined through engagements with Fortune 500 enterprises and OEMs. We combine customer-centric product strategies with a collaborative approach to execution. It helps harmonize processes, identify bottlenecks, and eliminate non-value adding tasks to deliver world-class products.

We also focus on connecting the right people with the right positions whether for a full-time career opportunity or a temporary assignment. Our long-term relationships with employees and clients have been built in an environment of integrity and commitment, with a shared goal of mutual success. We hire talented people to solve a wide array of IT and Engineering challenges that our clients face day to day. Here at Zealogics we provide the best services for the best price in town. That s our guarantee.

Careers

Website

Go to company profile

Fitment

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More jobs at Zealogics in New York, NY

Zealogics

Job Details

Skills

Computer Science
C#
Cloud Computing
Communication
Continuous Delivery
Artificial Intelligence
Authentication
Authorization
Automated Testing
Agile
Amazon Web Services
Apache Kafka
Google Cloud Platform
FOCUS
Generative Artificial Intelligence (AI)
Good Clinical Practice
Dependency Injection
Design Review
DevOps
Development Management
Articulate
Integration Testing
Interfaces
Jenkins
Continuous Integration
Data Structure
Database
Orchestration
Microservices
Microsoft
Microsoft Azure
Multithreading
Grafana
Java
Kubernetes
LangChain
Software Configuration
Management
OAuth
Python
Redis
SQL
Scrum
Software Design
Software Engineering
Storage
Terraform
Test-driven Development
Use Cases
Workflow
Below is a sample of potential responsibilities depending on product / focus area Develop tooling and self-service capabilities for deploying AI solutions for the firm leveraging Kubernetes
authentication solutions
APIs
REST framework
etc 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. Leverage Kubernetes to develop modern containerized 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. Participate in all team's Agile/ Scrum ceremonies. What you'll bring to the role: Bachelor's or Master's degree in Computer Science or related field
or equivalent job experience 10+ years of overall experience in software engineering
design and development 5+ years of hands-on experience building and maintaining production Python applications or libraries
using idiomatic Python
type annotations
and static analysis Prior production development experience in a statically typed language
such as Java or C#
with an understanding of explicit contracts
type safety
and maintainable software design. Experience designing and maintaining modular
readable
well-tested production code
with clear interfaces
appropriate abstractions
consistent coding standards
and effective dependency management. Understanding of dependency injection and inversion of control
with experience using DI containers or equivalent dependency-management approaches. Strong understanding of data structures and software design principles
with the ability to apply appropriate patterns without unnecessary complexity. Experience with test-driven development (TDD)
automated unit and integration testing
and designing code that can be tested independently of external services. Experience participating in design reviews and code reviews
with a focus on maintainability
testability
and long-term ownership. Experience with designing APIs and SDKs Experience in development
and deployment of Kubernetes workloads. Hands-on experience with multiprocessing
asynchronous I/O
performance profiling in at least one prominent programming language Ability to articulate technical concepts effectively to diverse audiences. Excellent communication skills. Demonstrated experience in DevOps
understanding of CI/CD (Jenkins) and GitOps. Knowledge of DevOps and Agile practices. Nice to have Experience deploying applications on Azure
AWS
and/or GCP using IaC (Terraform) Understanding of OAuth 2.0 protocol for secure authorization. Experience with Open Telemetry tools including Grafana
Loki
Prometheus
and Cortex. Good knowledge of Microservice based architecture
industry standards
for both public and private cloud. Good understanding of modern Application configuration techniques. Good knowledge of various DB engines (SQL
Kafka
etc) for cloud app storage. Deep understanding of AI agents
Agentic Orchestration
Multi-Agent Workflow Automation
along with hands-on experience in Agent Builder frameworks such Lang Chain
Lang Graph
Microsoft Agent Framework. Experience working with Generative AI development
embeddings. Understanding of SRE techniques.

Computer Science
C#
Cloud Computing
Communication
Continuous Delivery
Artificial Intelligence
Authentication
Authorization
Automated Testing
Agile
Amazon Web Services
Apache Kafka
Google Cloud Platform
FOCUS
Generative Artificial Intelligence (AI)
Good Clinical Practice
Dependency Injection
Design Review
DevOps
Development Management
Articulate
Integration Testing
Interfaces
Jenkins
Continuous Integration
Data Structure
Database
Orchestration
Microservices
Microsoft
Microsoft Azure
Multithreading
Grafana
Java
Kubernetes
LangChain
Software Configuration
Management
OAuth
Python
Redis
SQL
Scrum
Software Design
Software Engineering
Storage
Terraform
Test-driven Development
Use Cases
Workflow
Below is a sample of potential responsibilities depending on product / focus area Develop tooling and self-service capabilities for deploying AI solutions for the firm leveraging Kubernetes
authentication solutions
APIs
REST framework
etc 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. Leverage Kubernetes to develop modern containerized 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. Participate in all team's Agile/ Scrum ceremonies. What you'll bring to the role: Bachelor's or Master's degree in Computer Science or related field
or equivalent job experience 10+ years of overall experience in software engineering
design and development 5+ years of hands-on experience building and maintaining production Python applications or libraries
using idiomatic Python
type annotations
and static analysis Prior production development experience in a statically typed language
such as Java or C#
with an understanding of explicit contracts
type safety
and maintainable software design. Experience designing and maintaining modular
readable
well-tested production code
with clear interfaces
appropriate abstractions
consistent coding standards
and effective dependency management. Understanding of dependency injection and inversion of control
with experience using DI containers or equivalent dependency-management approaches. Strong understanding of data structures and software design principles
with the ability to apply appropriate patterns without unnecessary complexity. Experience with test-driven development (TDD)
automated unit and integration testing
and designing code that can be tested independently of external services. Experience participating in design reviews and code reviews
with a focus on maintainability
testability
and long-term ownership. Experience with designing APIs and SDKs Experience in development
and deployment of Kubernetes workloads. Hands-on experience with multiprocessing
asynchronous I/O
performance profiling in at least one prominent programming language Ability to articulate technical concepts effectively to diverse audiences. Excellent communication skills. Demonstrated experience in DevOps
understanding of CI/CD (Jenkins) and GitOps. Knowledge of DevOps and Agile practices. Nice to have Experience deploying applications on Azure
AWS
and/or GCP using IaC (Terraform) Understanding of OAuth 2.0 protocol for secure authorization. Experience with Open Telemetry tools including Grafana
Loki
Prometheus
and Cortex. Good knowledge of Microservice based architecture
industry standards
for both public and private cloud. Good understanding of modern Application configuration techniques. Good knowledge of various DB engines (SQL
Kafka
etc) for cloud app storage. Deep understanding of AI agents
Agentic Orchestration
Multi-Agent Workflow Automation
along with hands-on experience in Agent Builder frameworks such Lang Chain
Lang Graph
Microsoft Agent Framework. Experience working with Generative AI development
embeddings. Understanding of SRE techniques.

Summary

Below is a sample of potential responsibilities depending on product / focus area

Develop tooling and self-service capabilities for deploying AI solutions for the firm leveraging Kubernetes, Python, authentication solutions, APIs, REST framework, etc
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.
Leverage Kubernetes to develop modern containerized 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.
Participate in all team's Agile/ Scrum ceremonies.

What you'll bring to the role:

Bachelor's or Master's degree in Computer Science or related field, or equivalent job experience
10+ years of overall experience in software engineering, design and development
5+ years of hands-on experience building and maintaining production Python applications or libraries, using idiomatic Python, type annotations, automated testing, and static analysis
Prior production development experience in a statically typed language, such as Java or C#, with an understanding of explicit contracts, type safety, and maintainable software design.
Experience designing and maintaining modular, readable, well-tested production code, with clear interfaces, appropriate abstractions, consistent coding standards, and effective dependency management.
Understanding of dependency injection and inversion of control, with experience using DI containers or equivalent dependency-management approaches.
Strong understanding of data structures and software design principles, with the ability to apply appropriate patterns without unnecessary complexity.
Experience with test-driven development (TDD), automated unit and integration testing, and designing code that can be tested independently of external services.
Experience participating in design reviews and code reviews, with a focus on maintainability, testability, and long-term ownership.
Experience with designing APIs and SDKs
Experience in development, management, and deployment of Kubernetes workloads.
Hands-on experience with multiprocessing, multithreading, asynchronous I/O, performance profiling in at least one prominent programming language
Ability to articulate technical concepts effectively to diverse audiences.
Excellent communication skills.
Demonstrated experience in DevOps, understanding of CI/CD (Jenkins) and GitOps.
Knowledge of DevOps and Agile practices.

Nice to have

Experience deploying applications on Azure, AWS, and/or Google Cloud Platform using IaC (Terraform)
Understanding of OAuth 2.0 protocol for secure authorization.
Experience with Open Telemetry tools including Grafana, Loki, Prometheus, and Cortex.
Good knowledge of Microservice based architecture, industry standards, for both public and private cloud.
Good understanding of modern Application configuration techniques.
Good knowledge of various DB engines (SQL, Redis, Kafka, etc) for cloud app storage.
Deep understanding of AI agents, Agentic Orchestration, Multi-Agent Workflow Automation, along with hands-on experience in Agent Builder frameworks such Lang Chain, Lang Graph, Microsoft Agent Framework.
Experience working with Generative AI development, embeddings.
Understanding of SRE techniques.

Company Info

About Zealogics

Go to company profile

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

It looks like there aren't any Similar Jobs for this job yet.

Search all similar jobs

More jobs at Zealogics in New York, NY