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Senior Agentic AI Engineer

Senior Agentic AI Engineer

700AppsEG
5 days ago
Job type
  • Quick Apply
Job description

Join 700Apps as a Senior Agentic AI Engineer, where you will be at the forefront of developing cutting-edge AI solutions. You will design and implement advanced on-premises AI agents utilizing LangChain and local LLMs (like LLaMA, Mistral, and Ollama). Your mission will involve creating adaptive AI systems with memory, tool usage, and retrieval-augmented generation (RAG) capabilities, all while ensuring compliance with stringent privacy requirements.

Technical Skills

  • AI / ML Knowledge
  • Hands-on experience with ML models and deep learning frameworks (PyTorch, TensorFlow, Hugging face).
  • Exposure to working with LLMs : fine-tuning, embeddings, prompt engineering, or retrieval-based approaches.
  • Familiarity with reinforcement learning or planning concepts (not expert level, but aware).
  • Agent Systems
  • Some experience with agentic AI frameworks (LangChain, AutoGen, CrewAI, Semantic Kernel, etc.).
  • Ability to build single-agent workflows with memory, tool-use, or simple orchestration.
  • Software Engineering
  • Strong Python skills (production-grade code).
  • Experience building REST APIs or microservices.
  • Familiarity with vector databases (FAISS, Pinecone, Weaviate) and API integration.
  • Familiarity with databases (SQL / NoSQL) and data pipelines.
  • Infrastructure
  • Experience deploying AI apps / services in cloud and on-prem environments.
  • Comfortable with containerization (Docker) and basic CI / CD workflows.
  • Familiarity with git-hub and git-flow
  • Familiarity with event-driven architectures (queues, schedulers, etc.).
  • Evaluation & Safety
  • Able to run experiments, test outputs, and measure model / agent performance.
  • Familiarity with guardrails, content moderation, and safe API usage.

Requirements

  • Education : Bachelor’s degree in Computer Science, AI / ML, Data Science, or related field.
  • Experience : 3–5 years in software engineering or applied ML, with at least 1–2 years working directly with AI / ML systems.
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