AI/ML Engineer

2 weeks ago

Lahore, Punjab, Pakistan SAARZ Int. Full time

Are you passionate about building intelligent systems, deploying real-world AI agents, and working on cutting-edge LLM-based automation?

SAARZ Int.

is looking for a skilled AI Engineer (or AI Full-Stack Developer) with
1 year of experience

to join our growing team. You'll work on a range of exciting projects — from AI chat/voice agents to autonomous workflows and multi-modal AI pipelines.

𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗱:

  • Strong proficiency in Python (preferred) or other backend languages , Java, etc.)

  • Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain, CrewAI, LlamaIndex)

  • Experience building and deploying AI agents (autonomous workflows, memory, tools, etc.)

  • Expertise in chatbot/voice bot development (Rasa, Dialogflow, Azure Cognitive Services, or custom LLM-based stacks)

  • Knowledge of ASR/TTS (e.g., Whisper, ElevenLabs, Azure TTS, Amazon Polly)

  • Experience with NLP tasks: intent detection, entity extraction, embeddings, vector search, prompt engineering

  • Familiarity with workflow automation tools (Zapier, n8n, or custom Python pipelines)

  • Strong understanding of APIs, webhooks, and microservices integration (CRMs, messaging apps, DBs, etc.)

  • Experience with ETL/data processing, cleaning, structuring both unstructured and structured data

  • Cloud deployment skills using AWS, Azure, or GCP (serverless, containers, K8s)

  • Knowledge of databases: SQL, NoSQL, and Vector DBs (Pinecone, Weaviate, Chroma, FAISS)

𝗦𝗼𝗳𝘁 𝗦𝗸𝗶𝗹𝗹𝘀:

Ability to translate business problems into AI solutions

Strong analytical and problem-solving mindset

Excellent communication skills to collaborate across cross-functional teams

Comfortable working in fast-paced, agile/startup environments

𝗡𝗶𝗰𝗲-𝘁𝗼-𝗛𝗮𝘃𝗲𝘀:

  • Experience with multi-modal AI (text + vision + speech)

  • Familiarity with real-time AI systems (streaming, live interactions)

  • Background in MLOps (CI/CD, model monitoring, lifecycle management)

  • Awareness of AI ethics, privacy, and compliance considerations

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