GEN AI Developer

Epsilon Solutions Ltd.; Mississauga; On-site; CAD 110,000 - 170,000; Full time

Job summary

Epsilon Solutions Ltd. is seeking an experienced professional to advance GenAI initiatives with strong Python development and prompt engineering skills.

The role focuses on designing, reverse engineering, and enabling teams to adopt GenAI tools and frameworks across enterprise projects. Responsibilities include building AI agents with LangChain, implementing RAG pipelines, and ensuring secure, compliant AI usage while collaborating with stakeholders to drive API integration and cloud-native

Qualifications

• Strong Python development experience with microservices.
• Hands-on prompt engineering using Claude Code and Copilot.
• Expertise with LangChain, LangGraph, LangFlow and agent-based architectures.
• Knowledge of DDD, cloud-native design, and API integration with enterprise systems.

Responsibilities

• Lead GenAI initiatives to accelerate requirements gathering and design.
• Reverse engineer existing apps to generate data flow diagrams and API specs.
• Guide development teams in using GenAI tools and frameworks.
• Build and deploy AI agents using LangChain and enterprise APIs.
• Implement RAG pipelines for knowledge-driven applications.
• Ensure security, compliance, and responsible AI usage.

Skills

Python development

GenAI prompt engineering

LangChain

LangGraph

LangFlow

DDD / cloud-native

API integration

Microservices

Tools

Claude Code

GitHub Copilot

Docker

Bedrock

Anthropic APIs

AWS Bedrock

S3

PGVector

Job description

Experienced professional with strong Python development and Generative AI expertise, especially in prompt engineering.

Key Responsibilities

Leverage GenAI to accelerate:

• Requirement gathering and analysis.
• Design creation (HLD/LLD).
• Reverse engineering of existing applications.
• Lead and enable development teams to effectively use GenAI tools and frameworks.
• Reverse engineer application codebases (Python, Java, Angular, Mule) to auto-generate:
• Data flow and sequence diagrams.
• Propose API specifications.
• Apply Domain-Driven Design (DDD) patterns.
• Utilize Claude Code, GitHub Copilot, and similar tools for:
• Pull Request reviews.
• Automated test generation.
• Development, Code refactoring and optimization.
• Build and deploy AI agents using LangChain, LangGraph, integrated with enterprise APIs.
• Implement RAG (Retrieval-Augmented Generation) pipelines for knowledge-driven applications.
• Drive prompt engineering best practices and GenAI use case adoption across teams.
• Conduct workshops and training sessions for developers on GenAI tools and frameworks.
• Ensure security, compliance, and responsible AI usage in all GenAI implementations.

Must-Have Skills

• Strong proficiency in Python and microservice development.
• Hands-on experience with Claude Code, GitHub Copilot, and prompt engineering.
• Expertise in LangChain, LangGraph, LangFlow, and agent-based architectures.
• Solid understanding of software design principles, DDD, and cloud-native architectures.
• Experience building AI solutions integrated with enterprise APIs.

Preferred Skills

• Familiarity with AWS services (Bedrock, Lambda, S3, DynamoDB, Postgres/PGVector).
• Knowledge of containerization (Docker) and CI/CD pipelines.
• Experience with vector databases, embedding models, and LLM fine-tuning.
• Understanding of AI governance, bias mitigation, and responsible AI frameworks.
• Proficiency with FastAPI, LangChain, LangGraph, Bedrock, Anthropic APIs.
• Experience with observability tools for AI workflows.