Gen AI Developer

1 day ago

Toronto, Ontario, Canada eSolutions, Inc. Full time

Job Role-:AI Developer

Location : Toronto, ON (Hybrid)

Hire Type-Full Time

AI Developer specialized in Agentic AI, OpenAI development, and RAG (Retrieval-Augmented Generation)

JD

Must-Have Qualifications

  • 4–8+ years in software engineering / ML engineering; 1–3+ years in LLM/agent/RAG systems.
  • Strong in Python (or TypeScript), async programming, API design, distributed systems.
  • Hands-on experience with OpenAI/Azure OpenAI (Assistants API, GPT-4.1+/o-series), embeddings, structured outputs.
  • Practical expertise building RAG with at least one vector DB and retrieval strategy beyond basic semantic search.
  • Experience with one or more agent frameworks: LangGraph, AutoGen, CrewAI, OpenAI Assistants with tools.
  • Familiarity with prompt engineering, tool/function calling, schema design, context windows, token budgets.
  • Proven production deployments with monitoring, evals, and cost management.

Nice-to-Haves

  • Azure ecosystem: Azure OpenAI, Azure AI Search, Azure App Service/AKS, Key Vault, Event Hubs.
  • Document AI: , LLM-based parsers, OCR (Azure/AWS/GCP), markdown/HTML normalization.
  • Knowledge graphs or retrieval re-ranking (ColBERT, SPLADE, LLM-as-judge with guardrails).
  • Data privacy/security: DLP, PII redaction, RBAC, encryption-at-rest/in-transit.
  • Experience with model distillation, fine-tuning, or adapters (LoRA/PEFT) for small tasks.
  • Front-end integration (React, ) with streaming UIs and conversation state.

Core Skills & Competencies

  • LLM application design: Thinking in terms of tasks, context, tools, outputs, feedback loops.
  • RAG quality: Chunking, retrieval, contextualization, citations, answerable-only logic.
  • Agent orchestration: Planning, decomposition, tool-calling, memory stores, delegation policies.
  • Software craft: Readable code, tests, docs, CI/CD, observability.
  • Product sense: Framing AI features that deliver measurable value with safety and cost discipline.
  • Communication: Clear documentation of prompts, assumptions, risks, and metrics.

Job Type: Full-time

Pay: $110,000.00-$135,000.00 per year

Experience:

  • Gen AI: 6 years (required)
  • Agentic A: 6 years (required)
  • OpenAI: 5 years (required)
  • Python: 6 years (required)
  • LLM/agent/RAG systems: 5 years (required)
  • LangGraph, AutoGen, CrewAI, OpenAI: 6 years (required)

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