•📍Digismart tech MMCWe are looking for a Mid-Level AI Engineer to design, build, and deploy production-ready autonomous agentic workflows and intelligent chatbots. In this role, you will move beyond standard API wrappers to build resilient, stateful AI systems.You will be responsible for creating agent applications capable of querying vector databases, executing tool calls via HTTP interfaces, and managing complex, multi-step processes using durable workflow orchestration (such as Temporal). Additionally, you will design the repeatable data pipelines necessary to ingest, chunk, embed, and synchronize our proprietary data sources, ensuring our AI systems are both highly capable and strictly secure.
Key ResponsibilitiesAgent Development
•Design and deploy production-grade autonomous agentic workflows and chatbots that can reason, plan, and execute multi-step tasks.
System Integration
•Connect AI agents with durable workflow orchestration tools (e.g., Temporal) to handle long-running, stateful processes reliably.
Tool & MCP Creation
•Build and integrate agent tools and Model Context Protocols (MCPs) to allow LLMs to safely interact with internal microservices, databases, and third-party APIs.
Data Pipelines (RAG)
•Build and maintain robust, repeatable ETL workflows to ingest documents, generate embeddings via APIs, and populate vector databases for Retrieval-Augmented Generation.
Optimize system latency and cost through prompt engineering, query caching strategies, and semantic routing.
Security & Compliance
•Implement rigorous data sanitization, PII masking, and role-based access controls to ensure sensitive data is never leaked into model context windows or external APIs.
Database Management
•Write and optimize SQL queries alongside managing unstructured vector data.
RequirementsExperience
•Minimum 3 years of overall experience in Software Engineering or AI Engineering.Minimum 1 year of dedicated experience specifically in AI Engineering.Proven track record of building and deploying at least one autonomous agentic workflow in a production environment.
Programming Languages
•Strong proficiency in Python, TypeScript, or Go.
AI & LLM Stack
•Deep understanding of LLM inferencing, tokenization, and context window management.Hands-on experience with major Agent SDKs (e.g., OpenAI Agent SDK, Google Agent Development Kit, Amazon Bedrock Agents/Strands).Experience using Embedding APIs to represent unstructured data.
Databases
•Working knowledge of Vector Databases (e.g., Pinecone, Qdrant, Weaviate, pgvector).Capable of building and optimizing standard SQL database queries.
Architecture & Security
•Experience handling sensitive data with proven techniques for masking, anonymization, and sanitization.Knowledge of prompt optimization and query caching mechanisms (e.g., Redis, GPTCache).
Nice-to-Haves:LLMOps & Evaluation
•Experience with frameworks used to evaluate LLM outputs for hallucinations, relevance, and toxicity (e.g., Ragas, LangSmith, TruLens).
Cloud & Deployment
•Familiarity with containerization (Docker/Kubernetes) and deploying AI workloads on AWS, GCP, or Azure.
Open Source LLMs
•Experience hosting or fine-tuning open-source models (e.g., Llama 3, Mistral) using frameworks like vLLM or Ollama.
Streaming Interfaces
•Experience implementing Server-Sent Events (SSE) or WebSockets for real-time token streaming to front-end clients.
What We OfferCompetitive salaryHealth insuranceSelf-hosted GPU accessConditions:Work schedule: 5 days/week (09:00 – 18:00)Employment type: Full-timeSalary
•3000-5000 AZNInterested candidates can send their CV to the e-mail address in the Apply for job button. Please specify your desired position in the email subject.Let’s create amazing experiences together!