Infosys is hiring for AI developer.
Required Qualifications:
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Candidate must be located within commuting distance of Calgary or be willing to relocate to the area. This position may require travel in Canada.
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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.
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At least 4 years of Information Technology experience.
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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:
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AI Developer - 4+ years of overall technology experience with 2+ years in Contact Center and Conversational AI architecture.
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Build RAG Pipelines: Implement custom chunking, embeddings, hybrid search, re-ranking, and retrieval logic tailored to domain-specific semantics.
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Agentic Orchestration: Build multi-step agents with working memory, tool execution, state tracking, and deterministic control flows.
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Context Engineering: Optimize prompts, context packing, and token-economics to maximize reasoning quality while minimizing latency and cost. Required Qualifications
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Strong software engineering fundamentals with intermediate Python.
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Experience building transparent AI systems using standard libraries and HTTP clients.
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Hands-on FastAPI server development.
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Knowledge of Google’s GECX.
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Experience with structured extraction (JSON schemas, Pydantic) and advanced prompting.
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Skillset Requirements
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Native RAG Implementation: Custom chunking, embeddings, hybrid search, re-ranking, and retrieval logic.
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Agentic Programming: Building tool-use flows, working memory, state machines, and deterministic agent orchestration.
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Prompt Engineering: Crafting structured prompts, multi-shot reasoning scaffolds, and domain-specific context packing. 3 Job Description
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Python Engineering: Strong fundamentals, async programming, concurrency, and performance tuning.
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FastAPI: Building transparent, debuggable AI microservices.
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Structured Extraction: JSON schema design, Pydantic models, and deterministic extraction patterns.
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LLM Tooling: Experience with HTTP clients, raw API calls, and minimal-framework AI development.
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Testing & Debugging: Unit tests for agents, RAG regression tests, and prompt-level debugging
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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.
