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Senior AI/ML & Chatbot/RAG Engineer

Sati Tech Unverified

Multiple Cities, Pakistan

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Posted May 22, 2026 79 views

PKR. 350,000 - 350,000/Month

Sati Tech is seeking an experienced Senior AI/ML & Chatbot/RAG Engineer to join our innovative team remotely. This role requires a highly skilled engineer with a minimum of five years of hands-on experience in developing, deploying, and scaling production-level AI applications. The ideal candidate will demonstrate expertise in conversational AI, retrieval-augmented generation (RAG) systems, and large language model integrations with leading platforms such as OpenAI, Claude, Gemini, and Llama.
You will lead the design and implementation of scalable, cloud-based AI solutions that meet enterprise requirements and oversee the deployment and continuous monitoring of these systems. In this role, you will manage a team of one person, providing technical guidance and ensuring the successful delivery of AI projects involving complex workflows, prompt engineering, and API integration.
This is a fully remote, long-term opportunity that allows you to contribute to cutting-edge AI innovations while working within a collaborative and flexible environment. Your focus will be on creating effective AI agents, automating workflows, and deploying robust models with tools such as Docker, Kubernetes, and cloud platforms including AWS, GCP, and Azure. A strong candidate will also bring solid data engineering foundations — including data architecture, pipeline design, and data modeling — along with the ability to structure, transform, and serve data so it can be reliably ingested, governed, and retrieved by AI systems.
This role involves regular face-to-face interaction with US-based stakeholders, including in-person interviews. Excellent verbal English communication and fluency are essential.


Responsibilities
  • Design, build, and maintain enterprise-grade conversational AI and RAG systems, integrating and tuning LLMs (OpenAI, Claude, Gemini, Llama) with advanced prompt engineering and fine-tuning.
  • Develop AI chatbots, conversational interfaces, and agent workflows that automate processes and deliver seamless user experiences.
  • Own the data architecture behind AI systems — defining how data is ingested, modeled, stored, and served across structured, unstructured, and vector sources.
  • Build scalable ETL/ELT and streaming/batch pipelines (Kafka, Spark, Airflow, dbt) to ingest, clean, chunk, and embed data for RAG workflows.
  • Implement and manage data warehouse/lakehouse platforms (Snowflake, BigQuery, Redshift, Databricks) and optimize vector databases and knowledge graphs for fast, relevant retrieval.
  • Deploy, scale, and monitor AI models and APIs on cloud platforms (AWS, GCP/Vertex AI, Azure) using Docker and Kubernetes.
  • Establish data quality, lineage, and governance practices, and ensure compliance with data privacy regulations and ethical AI principles.
  • Test and validate AI systems for robustness, reliability, and enterprise security, and maintain services post-deployment.
  • Collaborate with cross-functional teams on requirements and solution design, and mentor one team member in AI/ML and data engineering practices.
  • Document architectures, pipelines, and processes, and stay current with frameworks like TensorFlow, PyTorch, and Hugging Face.

 

Key Skills & Technologies

AI/ML: Conversational AI, RAG, LLM integration (OpenAI, Claude, Gemini, Llama), prompt engineering, fine-tuning, AI agents
Frameworks: TensorFlow, PyTorch, Hugging Face Transformers, LangChain, LangGraph
Data Engineering: Data architecture, data modeling, ETL/ELT pipeline design, data warehousing/lakehouse (Snowflake, BigQuery, Redshift, Databricks), Apache Kafka, Spark, Airflow, dbt, SQL, data governance
Cloud & DevOps: AWS, GCP (Vertex AI), Azure, Docker, Kubernetes
Data Stores: Vector databases, knowledge graphs
Practices: Testing & validation, monitoring, data privacy compliance, ethical AI

Skills

Machine learning model development Prompt Engineering Hugging Face Transformers Natural Language Processing Conversational AI Design Model Deployment And Scaling cloud-based AI services Google Cloud AI TensorFlow PyTorch Prompt engineering techniques Vertex AI Machine Learning Deep Learning Retrieval-augmented generation Chatbot Development Model fine-tuning Python Large Language Model Integrations LangChain LangGraph Vector Databases AI Agent Workflows API Development And Integration DOCKER Kubernetes AWS GCP Azure Model Monitoring

Job Details

Total Positions:
1 Post
Job Shift:
Remote
Job Type:
Full Time/Permanent
Job Location:
Pakistan
Gender:
No Preference
Minimum Experience:
5 Years
Apply Before:
Jun 23, 2026
Posting Date:
May 22, 2026

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