Job Title: Senior AI Engineer
Salary: 500,000 - 700,000 PKR per month
Minimum Experience: 5 years
Location: Remote
Company: CoPilot Innovations
About Us:
CoPilot Innovations (subsidiary of The Plumtree Group) empowers businesses to leverage AI for transformative results. We specialize in custom AI solutions that blend software, automation, and strategy, ensuring technology serves people. We partner with growing brands to implement AI efficiently, delivering impactful results in weeks, not years.
In this video, the leaders at CoPilot Innovations share:
- Our vision for CoPilot and where we’re headed
- The type of AI challenges we’re passionate about solving
- Our perspective on LLMs, automation, and their real-world impact
- The engineering culture we’re actively building
If this resonates with you, we invite you to watch the full video here: https://linkly.link/2ZrUs
Job Overview:
We are seeking a highly skilled and experienced Senior AI Engineer to join our team. This is a key technical role focused on architecting and building cutting-edge LLM-driven applications and AI platforms. The ideal candidate will have a strong background in Generative AI, Agentic AI, and traditional Machine Learning with hands-on expertise in building and deploying AI systems in cloud environments.
As a Senior AI Engineer, you will work across GenAI, traditional ML, and automation use cases, designing and optimizing Retrieval-Augmented Generation (RAG) pipelines. You will collaborate with cross-functional teams, mentor engineers, and play a pivotal role in defining engineering standards within the organization.
Key Responsibilities:
- Architect and build LLM-driven applications and AI platforms.
- Design, optimize, and deploy Retrieval-Augmented Generation (RAG) pipelines.
- Work across Generative AI, traditional Machine Learning, and automation use cases.
- Deploy and operate AI systems in cloud environments, ensuring high performance and scalability.
- Collaborate with backend, cloud, data, and product teams to integrate AI solutions.
- Mentor junior engineers, guiding them in best practices, and help define AI engineering standards at CoPilot.
- Lead the design and deployment of enterprise-grade AI platforms integrated with existing client technology stacks.
- Engage in architecture discussions with stakeholders and client teams, offering technical advice and recommendations.
Required Technical Skills / Tools:
- Strong background in Generative AI, Agentic AI, Machine Learning (ML), and AI-driven automation.
- Hands-on experience building LLM-driven applications, agentic workflows, and AI microservices.
- Deep expertise in Retrieval-Augmented Generation (RAG), including document ingestion, chunking strategies, embeddings, vector search, re-ranking, and response grounding.
- Practical use of tools such as LangChain, LlamaIndex, LangGraph, AutoGen, and CrewAI for LLM orchestration and multi-agent systems.
- Strong foundation in classical ML techniques such as classification, regression, clustering, ranking, and feature engineering.
- Experience with PyTorch and/or TensorFlow for model development and experimentation.
- Proficiency with vector databases like MongoDB Atlas Vector Search, FAISS, Pinecone, or similar.
- Strong cloud experience, including deployment of AI services and workloads on AWS, Azure, or GCP.
- Familiarity with cloud AI platforms such as AWS Bedrock, Azure AI Services, GCP Vertex AI.
- Hands-on experience with Docker, Kubernetes, and cloud-native deployment patterns.
- Experience implementing MLOps/LLMOps, including model versioning, CI/CD pipelines (GitLab CI/CD or similar), experiment tracking (MLflow, Kubeflow), and AI observability.
- Understanding of cost, latency, performance optimization, and secure, multi-tenant AI deployments.
- Strong programming skills in Python, with experience in building backend services and APIs.
Soft Skills:
- Strong stakeholder management and communication skills.
- Experience working in consulting or enterprise environments.
- Comfortable participating in architecture discussions with client teams.
- Ability to explain AI trade-offs to non-technical stakeholders.
Qualifications:
- Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field.
- 5+ years of hands-on experience in AI engineering, with a focus on Generative AI, RAG, and cloud-based AI systems.
- Proven ability to mentor and lead teams, with an interest in growing into an AI Engineering Lead role.
Why Join Us?
- Work with a dynamic, forward-thinking team on cutting-edge AI projects.
- Opportunity to grow into leadership roles and define AI engineering standards.
- Competitive salary and benefits.
- Fully remote position.
- Work, lead and grow in a startup environment.
- Medical insurance
If you meet the above qualifications and are excited about the opportunity to build impactful AI solutions, we encourage you to apply!
