AI Developer

Infosys is hiring for AI developer

Required Qualifications:
Candidate must be located within commuting distance of Calgary or be willing to relocate to the area. This position may require travel in Canada.
Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
At least 4 years of Information Technology experience.
Candidates authorized to work for any employer in the Canada without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.

Required Skills:
AI Developer - 4+ years of overall technology experience with 2+ years in Contact Center and Conversational AI architecture.
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's GECX.
Experience with structured extraction (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. 3 Job Description
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.

The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face.