Python Developer (Agentic AI development)

Title: Python Developer (Agentic AI development)

Location: Halifax, NS (Remote)

Type: Contract

• We are seeking a Python Developer with Agentic AI development knowledge to design, build, and deploy intelligent, autonomous AI agents that can reason, plan, take actions, and collaborate with humans and systems to achieve complex goals.
• This role focuses on developing agent-based architectures using Large Language Models (LLMs), tools, memory, and orchestration frameworks to solve real-world business problems.

Key Responsibilities

• Design and implement autonomous and semi-autonomous AI agents capable of goal planning, decision-making, and task execution
• Build multi-agent systems that collaborate, communicate, and coordinate actions
• Integrate LLMs (e.g., OpenAI, Anthropic, open-source models) with tools, APIs, databases, and enterprise systems
• Develop agent orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI, Semantic Kernel)
• Implement memory systems (short-term, long-term, vector-based retrieval) to support agent learning and context retention
• Optimize prompts, workflows, and policies to ensure accuracy, reliability, and cost efficiency
• Implement safeguards including human-in-the-loop, observability, logging, and fallback mechanisms
• Evaluate agent performance using benchmarks, simulations, and real-world metrics
• Collaborate with ML, DevOps, and Security teams to deploy AI agents in production environments
• Stay current with advancements in agentic AI, LLM tooling, and AI safety best practices

Required Technical Skills:

• 8+ Strong programming experience in Python (required); JavaScript/Typescript a plus
• 5+ years of expertise in building AI workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel
• 5+ years of experience in understanding of agent architectures (React, Plan-and-Execute, Tool-Using Agents, Multi-Agent Systems)
• 5+ years of experience in integrating APIs, databases, and external tools into AI workflows
• 5+ years of experience with cloud platforms such as AWS, Google Cloud, or Azure, and tools like Docker and Kubernetes is highly valued.
• 5+ years of experience with vector databases (e.g., Pinecone, FAISS, Chroma, Weaviate)
• 5+ years of solid understanding of software engineering best practices (version control, testing, CI/CD)

Preferred / Nice-to-Have Skills

• Experience with multi-agent coordination and negotiation
• Knowledge of reinforcement learning or planning algorithms
• Experience deploying AI systems on cloud platforms (AWS, Azure, Google Cloud Platform)
• Familiarity with MLOps, monitoring, and observability tools
• Experience with AI governance, security, and responsible AI frameworks
• Background in NLP, ML, or data science