AI Developer

Job Title: AI Developer Job location:: Toronto, Brampton, Canada A hands-on builder who writes the native code powering our RAG pipelines, agentic workflows, and context-engineering systems. About the Role 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 AI Developer - Skillset Requirements 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 Thanks, and Regards Anil Kumar | Technical Recruiter Email: anil.k@ampstek.com Desk: 6095361083 www.ampstek.com

Implement the mechanical core of AI features, including RAG pipelines, agentic workflows, and context-engineering systems. Ensure all components are observable, testable, and optimized for enterprise workloads.

Requires strong software engineering fundamentals in Python and experience developing FastAPI servers. Candidates must be proficient in native RAG implementation, agentic programming, and structured data extraction using Pydantic.

• PythonPreferred

Identified from the job description. Confirm important requirements above.

• RAG Pipelines
• Agentic Orchestration
• Prompt Engineering
• Python
• FastAPI
• Structured Extraction
• JSON Schema
• Pydantic
• Google GECX
• Async Programming
• Hybrid Search
• Re-ranking
• State Machines
• Observability
• Unit Testing
• HTTP Clients

• Software
• Technology
• Engineering
• Data & Analytics
• Consulting

Minimum experience

2+ years

Apply by

Sep 5, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level

Application method

Direct apply is available