Senior GenAI Engineer - AgenticAI Job at NorthBay (Islamabad)

Senior GenAI Engineer - AgenticAI

Senior Generative AI Experts with proven hands-on experience in building Agentic...

Location

Pakistan , Lahore

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

8+ years of professional experience in software engineering and AI/ML
2+ years of practical experience in LLM-based application development
Strong track record of delivering Agentic AI systems (not just chatbot interfaces)
Hands-on experience with: LangChain, AutoGPT, CrewAI, ReAct, Semantic Kernel
Hands-on experience with: OpenAI, Claude, Gemini, Mistral, or Llama2
Hands-on experience with: Embedding models, vector databases (FAISS, Pinecone, Weaviate, etc.)
Hands-on experience with: Prompt engineering, RAG, memory/context management
Hands-on experience with: Serverless, Python, Node.js, AWS/GCP/Azure cloud
Experience leading engineering teams and working with enterprise clients
Excellent communication, documentation, and stakeholder management skills

Job Responsibility

Design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or similar)
Architect and implement multi-agent systems for enterprise-grade solutions
Integrate AI agents with APIs, databases, internal tools, and external SaaS products
Lead and mentor a cross-functional team across global time zones
Optimize performance, context retention, tool usage, and cost efficiency
Build reusable pipelines and modules to support GenAI use cases at scale
Ensure enterprise-grade security, privacy, and compliance standards in deployments
Collaborate directly with clients and senior stakeholders

What we offer

Work on cutting-edge Generative AI and Agentic AI projects at enterprise scale
Collaborate with senior teams across US, Canada, UAE, India, and Pakistan
Competitive compensation + long-term career roadmap

Fulltime

Tech Lead - GenAI and AgenticAI

NorthBay Solutions, a global AWS Consulting Partner with distributed teams acros...

Location

Pakistan , Lahore

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

12+ years of professional experience in software engineering, AI/ML and leading technical teams
3+ years of practical experience in LLM-based application development
Strong track record of delivering Agentic AI systems (not just chatbot interfaces)
Hands-on experience with: LangChain, AutoGPT, CrewAI, ReAct, Semantic Kernel
Hands-on experience with: OpenAI, Claude, Gemini, Mistral, or Llama2
Hands-on experience with: Embedding models, vector databases (FAISS, Pinecone, Weaviate, etc.)
Hands-on experience with: Prompt engineering, RAG, memory/context management
Hands-on experience with: Serverless, Python, Node.js, AWS/GCP/Azure cloud
Experience leading engineering teams and working with enterprise clients
Excellent communication, documentation, and stakeholder management skills

Job Responsibility

Lead, design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or similar)
Architect and implement multi-agent systems for enterprise-grade solutions
Integrate AI agents with APIs, databases, internal tools, and external SaaS products
Lead and mentor a cross-functional team across global time zones
Optimize performance, context retention, tool usage, and cost efficiency
Build reusable pipelines and modules to support GenAI use cases at scale
Ensure enterprise-grade security, privacy, and compliance standards in deployments
Collaborate directly with clients and senior stakeholders

What we offer

Competitive compensation + long-term career roadmap

Fulltime

Tech Lead - GenAI and AgenticAI

NorthBay Solutions, a global AWS Consulting Partner with distributed teams acros...

Location

Pakistan , Islamabad

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

12+ years of professional experience in software engineering, AI/ML and leading technical teams
3+ years of practical experience in LLM-based application development
Strong track record of delivering Agentic AI systems
Hands-on experience with: LangChain, AutoGPT, CrewAI, ReAct, Semantic Kernel
Hands-on experience with: OpenAI, Claude, Gemini, Mistral, or Llama2
Hands-on experience with: Embedding models, vector databases (FAISS, Pinecone, Weaviate, etc.)
Hands-on experience with: Prompt engineering, RAG, memory/context management
Hands-on experience with: Serverless, Python, Node.js, AWS/GCP/Azure cloud
Experience leading engineering teams and working with enterprise clients
Excellent communication, documentation, and stakeholder management skills

Job Responsibility

Lead, design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or similar)
Architect and implement multi-agent systems for enterprise-grade solutions
Integrate AI agents with APIs, databases, internal tools, and external SaaS products
Lead and mentor a cross-functional team across global time zones
Optimize performance, context retention, tool usage, and cost efficiency
Build reusable pipelines and modules to support GenAI use cases at scale
Ensure enterprise-grade security, privacy, and compliance standards in deployments
Collaborate directly with clients and senior stakeholders

What we offer

Competitive compensation + long-term career roadmap

Fulltime

Tech Lead - GenAI and AgenticAI

NorthBay Solutions, a global AWS Consulting Partner with distributed teams acros...

Location

Pakistan , Karachi

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

12+ years of professional experience in software engineering, AI/ML and leading technical teams
3+ years of practical experience in LLM-based application development
Strong track record of delivering Agentic AI systems (not just chatbot interfaces)
Hands-on experience with: LangChain, AutoGPT, CrewAI, ReAct, Semantic Kernel
Hands-on experience with: OpenAI, Claude, Gemini, Mistral, or Llama2
Hands-on experience with: Embedding models, vector databases (FAISS, Pinecone, Weaviate, etc.)
Hands-on experience with: Prompt engineering, RAG, memory/context management
Hands-on experience with: Serverless, Python, Node.js, AWS/GCP/Azure cloud
Experience leading engineering teams and working with enterprise clients
Excellent communication, documentation, and stakeholder management skills

Job Responsibility

Lead, design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or similar)
Architect and implement multi-agent systems for enterprise-grade solutions
Integrate AI agents with APIs, databases, internal tools, and external SaaS products
Lead and mentor a cross-functional team across global time zones
Optimize performance, context retention, tool usage, and cost efficiency
Build reusable pipelines and modules to support GenAI use cases at scale
Ensure enterprise-grade security, privacy, and compliance standards in deployments
Collaborate directly with clients and senior stakeholders

What we offer

Competitive compensation + long-term career roadmap

Fulltime

Principal engineer applied ai

Are you looking to redefine customer experience by bending the curve of innovati...

Location

India , Bengaluru; Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

A Bachelor’s degree (or above) in computer science, engineering, mathematics, or a related discipline
12+ years of experience in Software Engineering, Data Science, or Analytics with 5+ years of experience in AI/ML engineering or related fields
Demonstrated experience designing and implementing highly scalable, production-grade AI/ML platforms and systems
Deep understanding of Large Language Models (LLMs), LLM training & fine tuning
Hands-on experience in GenAI and AgenticAI frameworks such as LangGraph/LangChain, CrewAI, Strands SDK, Google ADK, etc. Familiarity on working with MCP and A2A protocols
Expertise in various AI/ML techniques, such as deep learning, natural language processing, reinforcement learning, and large language models
Proficiency in Python, R, or other programming languages for data analysis and AI/ML development
Experience with DevOps and CI/CD tools and practices, such as Git, Jenkins, Docker, Kubernetes, etc.

Job Responsibility

Serve as the primary code-level reviewer and hands-on architect for the most complex AI/ML systems and frameworks
Define and enforce technology roadmaps, best practices, strategies, and standards for AI/ML adoption across the organization
Conduct and guide research on context/prompt engineering techniques to translate successful research into reusable engineering frameworks for the wider team
Architect and maintain robust data pipelines and data processing workflows for model training and model tuning, utilizing cloud services for scalability and efficiency
Implement and champion MLOps tools and practices, ensuring seamless integration of machine learning models and LLMs into production environments
Lead the effort to agentize existing systems (front-end & back-end apps) by incorporating agentic frameworks/stacks and integrating them via A2A, MCP protocol
Partner with cross-functional teams to integrate AI/ML solutions into products and services
Mentor and coach junior and senior engineers on advanced AI/ML techniques, best practices, and architecture design.

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Principal Engineer – Advanced Technologies

Are you looking to redefine customer experience by bending the curve of innovati...

Location

India , Pune; Bengaluru

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

A Bachelor’s degree (or above) in computer science, engineering, mathematics, or a related discipline
12+ years of experience in Software Engineering, Data Science, or Analytics with 5+ years of experience in AI/ML engineering or related fields
Demonstrated experience designing and implementing highly scalable, production-grade AI/ML platforms and systems
Deep understanding of Large Language Models (LLMs), LLM training & fine tuning
Hands-on experience in GenAI and AgenticAI frameworks such as LangGraph/LangChain, CrewAI, Strands SDK, Google ADK, etc.
Familiarity on working with MCP and A2A protocols
Expertise in various AI/ML techniques, such as deep learning, natural language processing, reinforcement learning, and large language models
Proficiency in Python, R, or other programming languages for data analysis and AI/ML development
Experience with DevOps and CI/CD tools and practices, such as Git, Jenkins, Docker, Kubernetes, etc.

Job Responsibility

Serve as the primary code-level reviewer and hands-on architect for the most complex AI/ML systems and frameworks
Define and enforce technology roadmaps, best practices, strategies, and standards for AI/ML adoption across the organization
Conduct and guide research on context/prompt engineering techniques to translate successful research into reusable engineering frameworks for the wider team
Architect and maintain robust data pipelines and data processing workflows for model training and model tuning, utilizing cloud services for scalability and efficiency
Implement and champion MLOps tools and practices, ensuring seamless integration of machine learning models and LLMs into production environments
Lead the effort to agentize existing systems (front-end & back-end apps) by incorporating agentic frameworks/stacks and integrating them via A2A, MCP protocol
Partner with cross-functional teams to integrate AI/ML solutions into products and services
Mentor and coach junior and senior engineers on advanced AI/ML techniques, best practices, and architecture design
Provision of guidance and expertise to engineering teams to ensure alignment with best practices and foster a culture of technical excellence
Contribution to strategic planning by aligning technical decisions with business goals, anticipating future technology trends, and providing insights to optimize product roadmaps

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

New

In House Sales Representative

Capital Vacations is seeking experienced In-House Sales Professionals to join ou...

Location

United States , Kissimmee

Salary:

Not provided

Capital Vacations

Expiration Date

Until further notice

Requirements

Active Florida Real Estate License
Previous In-House Sales experience in the vacation ownership industry
Proven closing and sales performance history
Strong communication and relationship-building skills
Ability to work a flexible schedule, including weekends and holidays

Job Responsibility

Work directly with existing owners to enhance and expand their vacation ownership
Present vacation ownership solutions through a proven sales process
Build value and create memorable ownership experiences
Leverage strong leadership support to maximize performance
Consistently achieve and exceed production goals
Contribute to a culture of accountability, professionalism, and success

What we offer

Medical Insurance
Dental Insurance
Vision Insurance
Discounted Resort Stays
Paid Time Off
Life Insurance
Long-Term Disability
Professional Development
Competitive Compensation
Rapid Growth

Fulltime

New

Mobile Associate - Retail Sales

Mobile Associates (MA) work as a member of a Retail Team of Experts to bring the...

Location

United States , Elk City

Salary:

18.00 - 20.00 USD / Hour

T-Mobile

Expiration Date

Until further notice

Requirements

High School Diploma/GED (Required)
6 months of customer service and/or sales experience, Retail environment preferred. (Required)
Passionate customer advocate with the desire to be yourself when connecting and having fun doing it! (Required)
Competitive drive and proven ability to succeed in a fast-paced sales environment. (Required)
Willingness to work alongside peers and store leaders, learning and sharing ideas, while serving customers and providing resolutions to issues. (Required)
Effective at balancing customer needs and performance goals. (Required)
At least 18 years of age
Legally authorized to work in the United States

Job Responsibility

Builds proficiency related to serving and selling to our customers, while providing a world-class customer experience and building loyalty by: Helping customers pick up right where they left off in their shopping journey, whether online, through Customer Care or in-store
Exploring individual needs and providing hands-on demonstrations of the latest and greatest technology in-store
Side-by-side selling to find personalized solutions beyond the bare-bones device and service plan that keep our customers connected to the people and lifestyle they love, including anything from unique accessories cutting-edge IoT devices
Approaching service and sales needs with composure, integrity and compassion
Becomes skilled with and consistently uses digital tools in interactions and onboarding to actively demonstrate: How our ever-expanding coverage stacks up in our customer’s neighborhood, providing them with a lightning fast LTE network
Why T-Mobile plans and services will let our customers live unlimited, feel the love, stay connected and go further
Completes training on T-Mobile in-store experience, new skills and processes, knowledge of systems and reference resources
Makes the most of their time on shift, consistently seeking out information between customers, learning about innovations in wireless and technology
Establishes relationships with and partners with T-Mobile employees across channels, including business and customer service to: Collectively own the customer experience and resolve issues, creating a seamless, run-around-free environment
Successfully identify and handoff small business leads

What we offer

Medical, dental and vision insurance
Flexible spending account
401(k)
Employee stock grants
Employee stock purchase plan
Paid time off
Up to 12 paid holidays
Paid parental and family leave
Family building benefits
Back-up care

Parttime

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Senior GenAI Engineer - AgenticAI

Job Description

Job Responsibility

Requirements

What we offer

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