Senior AI Engineer – Agent Systems & RAG (LangChain / CrewAI / Python / N8N)
Friday Media Group Pakistan · Lahore, Punjab, Pakistan
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- On site
- Full-time
- PKR 2,500,000 / year
- Lahore, Punjab, Pakistan
Job highlights
- Build production-grade AI agents and RAG systems.
- Develop multi-agent systems for finance and sales.
- Integrate AI agents with NetSuite and CRMs.
- Work with LangChain, CrewAI, and Python.
- Shape a group-wide AI platform.
About the role
About the Role:
We are building a next-generation AI Agent Platform across our group, alongside deploying specialized AI agents within our products and business-wide operations. We are looking for a hands-on AI Engineer with strong experience in building and deploying AI agents, designing production-grade RAG systems, and working with frameworks such as LangChain and CrewAI. This is not a research role. We are looking for someone who has built and shipped real AI systems into production environments.
What You Will Be Working On:
- Designing and building multi-agent systems for real-world business workflows.
- Developing agents across: Finance, Customer support automation, Marketing workflows, Sales and CRM automation.
- Building RAG-powered systems to enable agents to retrieve and reason over internal data.
- Integrating AI agents with real systems: NetSuite, N8N CRMs, Email systems, Internal APIs and databases.
- Creating hybrid systems combining rules, workflows, and LLM reasoning.
- Implementing structured outputs (JSON, workflows, automation triggers).
Key Responsibilities:
- Build, test, and deploy AI agents end-to-end.
- Design agent architectures (single-agent, multi-agent, tool-using agents).
- Develop and optimize RAG pipelines, including document ingestion and chunking strategies, embedding pipelines, vector search and retrieval optimization, and grounding LLM outputs with internal data.
- Implement context management, memory, and tool usage within agents.
- Hands-on experience with N8N or similar workflow automation tools.
- Integrate agents with external APIs, databases, and SaaS platforms.
- Build evaluation, monitoring, and logging systems for agent performance.
- Optimize for accuracy, latency, and cost efficiency.
- Work closely with product teams to translate workflows into AI-driven systems.
Required Skills & Experience:
- Strong experience in Python.
- Hands-on experience with LangChain and CrewAI (or similar multi-agent frameworks).
- Proven experience building production-grade AI agents.
- Strong experience with RAG systems, including embeddings and vector search, retrieval optimization (filters, hybrid search, ranking), and grounding outputs with structured and unstructured data.
- Experience working with vector databases such as Pinecone or alternatives (Weaviate, FAISS, etc.).
- Experience with LLM APIs (OpenAI, Gemini, etc.).
- Strong understanding of prompt design, tool/function calling, and memory/context handling.
Preferred (Nice to Have):
- Experience building AI agents in Finance (AP, AR, reporting, forecasting), Marketing automation, Sales / CRM workflows, or Customer support systems.
- Experience with fine-tuning or adapting models, including instruction tuning, domain adaptation, and evaluation of fine-tuned vs prompt-based approaches.
- Experience with advanced RAG patterns: hybrid search (vector + keyword), re-ranking models, agent-driven retrieval strategies.
- Experience with Supabase / PostgreSQL, FastAPI or similar backend frameworks, and event-driven or workflow-based systems.
- Exposure to NetSuite or financial systems is a strong plus.
What We Are Looking For:
- Someone who has actually built and deployed AI agents, not just experimented.
- Strong problem solver who can translate business workflows into AI systems.
- Comfortable working in a fast-moving, product-driven environment.
- Ability to balance LLM reasoning, deterministic rules, and system design.
Important Note: We are not looking for basic “chat with documents” implementations. We are building production-grade AI systems integrated with real business workflows and decision engines.
Why Join Us:
- Work on real-world AI deployment, not just prototypes.
- Build systems that directly impact business operations.
- Opportunity to shape a group-wide AI platform (FridayOS vision).
- Exposure to multiple domains: finance, marketplaces, SaaS, recruitment.
Key skills/competency:
- AI Engineering
- Agent Systems
- RAG (Retrieval-Augmented Generation)
- LangChain
- CrewAI
- Python
- Production Deployment
- LLM APIs
- Vector Databases
- Workflow Automation
Skills & topics
- AI Engineer
- Python
- LangChain
- CrewAI
- RAG
- Agent Systems
- LLM
- Vector Databases
- Production AI
- Full-time
How to get hired
- Tailor your resume: Highlight Python, LangChain, CrewAI, and RAG experience.
- Showcase production experience: Emphasize shipped AI agents and real-world deployments.
- Prepare for technical interviews: Be ready to discuss agent architecture and RAG optimization.
- Demonstrate problem-solving: Illustrate how you translate business needs into AI systems.
Technical preparation
Master Python for AI agent development.,Build projects with LangChain and CrewAI.,Implement RAG systems with vector databases.,Integrate LLM APIs and workflow tools.
Behavioral questions
Describe a complex AI agent you deployed.,How do you balance LLM reasoning and rules?,Explain translating business needs to AI systems.,How do you optimize AI for cost and speed?
Frequently asked questions
- What is the main focus of the Senior AI Engineer role at Friday Media Group Pakistan?
- The Senior AI Engineer role at Friday Media Group Pakistan focuses on building and deploying production-grade AI agent systems and RAG (Retrieval-Augmented Generation) solutions, rather than pure research. You'll be instrumental in developing the company's next-generation AI Agent Platform.
- What are the key technical skills required for this AI Engineer position?
- Key technical skills include strong Python proficiency, hands-on experience with frameworks like LangChain and CrewAI, proven ability in building production AI agents, and expertise in RAG systems (embeddings, vector search, grounding). Experience with LLM APIs and vector databases is also essential.
- What kind of projects will a Senior AI Engineer work on at Friday Media Group?
- You will design and build multi-agent systems for various business workflows, including finance, customer support, marketing, and sales. This involves creating RAG-powered systems for data retrieval and reasoning, and integrating AI agents with existing systems like NetSuite and CRMs.
- Is this role suitable for someone with only experimental AI knowledge?
- No, this role is specifically for individuals who have a track record of building and deploying AI agents in production environments. The company is looking for hands-on experience with shipped AI systems, not just experimental knowledge.
- What makes this AI Engineer role different from a 'chat with documents' implementation?
- This role goes beyond basic 'chat with documents' implementations. You will be building production-grade AI systems that are deeply integrated with real business workflows and decision engines, requiring robust system design and optimization.
- What are the preferred skills for the Senior AI Engineer role?
- Preferred skills include experience building AI agents in specific domains like finance or marketing, advanced RAG patterns, fine-tuning models, and experience with backend frameworks like FastAPI or databases like Supabase/PostgreSQL. Exposure to NetSuite or financial systems is also a plus.
- What is the work arrangement for the Senior AI Engineer position?
- The job posting indicates a 'Full-time' employment type. While not explicitly stated as remote, hybrid, or on-site, many tech roles in Pakistan are open to remote or hybrid arrangements. Clarification would be needed during the application process.