Job Description
AI Engineer (LLM & Agentic Systems) | Islamabad | Onsite | PKR Salary
Client Company Introduction
A fast-growing digital transformation company delivering custom software, web and mobile development, UI/UX design, staff augmentation, MVP development, and QA services.
About the Role
We are looking for an AI Engineer to design, build, and ship production-grade AI features across our client projects. You will work hands-on with modern LLM stacks — integrating foundation models into products, building RAG pipelines, developing agentic workflows, and automating business processes. This is an applied engineering role: we value people who can turn LLM capabilities into reliable, working software, not research prototypes.
Key Responsibilities
- Integrate LLM APIs (OpenAI, Anthropic Claude, Google Gemini, and open-source models) into web and backend applications, including structured outputs, function/tool calling, and streaming.
- Design and implement Retrieval-Augmented Generation (RAG) pipelines: document ingestion, chunking, embeddings, vector search, and re-ranking.
- Build and orchestrate AI agents and multi-step agentic workflows using frameworks such as LangChain, LangGraph, CrewAI, or the OpenAI/Claude agent SDKs.
- Develop workflow automations connecting LLMs to third-party tools and APIs (n8n, Make, Zapier, or custom integrations with webhooks).
Craft, test, and iterate on prompts; evaluate output quality and set up guardrails against hallucination and unsafe responses. - Expose AI functionality through clean, well-documented APIs (FastAPI/Flask) and deploy services using Docker on cloud platforms.
- Monitor, evaluate, and optimize deployed systems for accuracy, latency, and token/API cost using tools such as LangSmith, Ragas, or similar.
- Collaborate with product, backend, and frontend teams to scope AI features and deliver them within project timelines.
Required Skills & Qualifications
- Bachelor's degree in Computer Science, AI, Data Science, or a related field.
- 1–2 years of professional experience in software or AI engineering, with demonstrable work on LLM powered applications (professional, freelance, or strong portfolio projects).
- Strong Python skills; comfort with REST APIs, Git, and async programming.
- Hands-on experience integrating LLM provider APIs and engineering prompts for production use cases.
- Practical experience building RAG systems with at least one vector database (Pinecone, Qdrant, Weaviate, Chroma, or pgvector).
- Working knowledge of an LLM orchestration/agent framework (LangChain, LangGraph, LlamaIndex, or CrewAI).
- Understanding of embeddings, semantic search, context-window management, and token economics. Ability to write clean, maintainable, testable code and debug issues independently.
Nice to Have
- Experience with Model Context Protocol (MCP) servers or building custom tool integrations for agents. Exposure to LLM evaluation and observability tooling (LangSmith, Ragas, Langfuse, Braintrust).
- Familiarity with fine-tuning or serving open-source models (Hugging Face, Ollama, vLLM). Experience with automation platforms (n8n, Make, Zapier) in client or internal projects. Cloud deployment experience (AWS, GCP, or Azure) and CI/CD basics.
- JavaScript/TypeScript skills for full-stack AI feature work.
Knowledge of multimodal models (vision, speech) or chatbot/voice-agent development.
What We Offer
- Competitive, market-based salary with regular reviews.Direct exposure to diverse international client projects using the latest AI stacks.
- Learning budget and dedicated time for exploring new AI tools and frameworks. Collaborative onsite culture with mentorship from senior engineers.
- Experience: 1+ Years
- Location: Islamabad
- Work Mode: Onsite
- Working Days: Monday – Friday
- Office Timings: 9:00 AM – 6:00 PM
- Shift: Morning
- Salary: Market Competitive (PKR)
About HR Ways
HR Ways is an award-winning Technical Recruitment Firm helping software houses and IT product companies hire top technology talent both locally and internationally.
We work with 300+ employers worldwide, ranging from leading SaaS companies to fast-growing startups, with operations across the UAE, Canada, USA, UK, Pakistan, India, Saudi Arabia, Portugal, Brazil, and many other regions.
WhatsApp Channel: https://shorturl.at/983az
Website: www.hrways.co