SS - AI DEVELOPER

Hybrid in Brampton, ON, CA • Posted 60+ days ago • Updated 13 hours ago
Contract Independent
Contract Corp To Corp
Contract W2
12 Months
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • AI
  • AI DEVELOPER
  • RAG
  • LLM
  • AGENTIC AI

Summary

Please send in resume

 

AI DEVELOPER

 

Location – Brampton Ontario - Canada

 

You will implement the mechanical core of our AI features: chunking logic, embedding flows, retrieval
algorithms, agent state machines, and prompt-construction engines. You will ensure every component is
observable, testable, and optimized for enterprise workloads.

What You Will Do
• Build RAG Pipelines: Implement custom chunking, embeddings, hybrid search, re-ranking, and retrieval logic
tailored to domain-specific semantics.
• Agentic Orchestration: Build multi-step agents with working memory, tool execution, state tracking, and
deterministic control flows.
• Context Engineering: Optimize prompts, context packing, and token-economics to maximize reasoning
quality while minimizing latency and cost.

Required Qualifications
• Strong software engineering fundamentals with intermediate Python.
• Experience building transparent AI systems using standard libraries and HTTP clients.
• Hands-on FastAPI server development.
• Knowledge of Google GECX.
• Experience with structured extraction using JSON schemas, Pydantic, and advanced prompting

Skillset Requirements
• Native RAG Implementation: Custom chunking, embeddings, hybrid search, re-ranking, and retrieval logic.
• Agentic Programming: Building tool-use flows, working memory, state machines, and deterministic agent
orchestration.
• Prompt Engineering: Crafting structured prompts, multi-shot reasoning scaffolds, and domain-specific
context packing.
• Python Engineering: Strong fundamentals, async programming, concurrency, and performance tuning.
• FastAPI: Building transparent, debuggable AI microservices.
• Structured Extraction: JSON schema design, Pydantic models, and deterministic extraction patterns.
• LLM Tooling: Experience with HTTP clients, raw API calls, and minimal-framework AI development.
• Testing & Debugging: Unit tests for agents, RAG regression tests, and prompt-level debugging.
• Observability: Instrumenting tracing, logging, and token/latency metrics for agents and RAG components

 

Shekar

Talent Acquisitions

Apex-2000 Inc

Ph – ext 109

Cell –

 

Fax –

Efax – 1-

Gtalk:

Skype:

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10121431
  • Position Id: 8463312
  • Posted 30+ days ago
Contact the job poster
UC

Uma Chalichama

Recruiter @ Apex 2000
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