We are seeking an experienced Python + AI Engineer with 8+ years of software engineering experience and strong expertise in building scalable Python applications and AI-driven solutions. The ideal candidate will have hands-on experience with Generative AI, Large Language Models (LLMs), Agentic AI, RAG, APIs, cloud platforms, and enterprise application development. The engineer will be responsible for designing, developing, integrating, and operationalizing AI solutions while ensuring scalability, security, observability, reliability, and maintainability.
In this role, you will
- Design and develop scalable enterprise applications and backend services using Python.
- Build Generative AI and LLM-based applications, including conversational AI, intelligent assistants, summarization, knowledge retrieval, and workflow automation.
- Design and implement Retrieval-Augmented Generation (RAG) solutions using embeddings, vector databases, and enterprise knowledge sources.
- Develop AI agents and Agentic AI workflows capable of reasoning, tool invocation, orchestration, and multi-step task execution.
- Integrate LLMs from platforms such as Azure OpenAI, OpenAI, Anthropic, or open-source model ecosystems.
- Build reusable AI services and APIs using FastAPI, Flask, or similar Python frameworks.
- Implement prompt engineering, structured outputs, function/tool calling, context management, and AI guardrails.
- Establish evaluation approaches for measuring response quality, groundedness, relevance, hallucination risk, latency, and cost.
- Develop integrations with relational databases, NoSQL databases, vector stores, APIs, and enterprise platforms.
- Design asynchronous and event-driven processing using technologies such as Kafka, Azure Service Bus, or equivalent platforms.
- Containerize and deploy applications using Docker, Kubernetes, CI/CD pipelines, and cloud-native services.
- Implement unit testing, integration testing, automated quality controls, logging, monitoring, and observability.
Work model:
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in Canada. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
Note: The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered:
- 8+ years of software engineering/application development experience.
- Strong hands-on programming experience with Python.
- Strong understanding of OOP, design patterns, asynchronous programming, REST APIs, microservices, and distributed systems.
- Experience with Python frameworks such as FastAPI, Flask, Django, Pandas, NumPy, Pydantic, and pytest.
- Hands-on experience developing solutions using LLMs and Generative AI.
- Experience with RAG, embeddings, vector search, prompt engineering, and LLM orchestration.
- Knowledge of Agentic AI concepts, including agents, tools, memory/state, workflow orchestration, and human-in-the-loop patterns.
- Experience with at least one major cloud environment such as Microsoft Azure, AWS, or Google Cloud.
- Knowledge of relational and NoSQL databases such as PostgreSQL, SQL Server, MongoDB, or Redis.
- Experience with vector search/vector databases such as Azure AI Search, Pinecone, Weaviate, FAISS, or pgvector.
- Experience with Git, Docker, CI/CD, Kubernetes, and DevOps practices.
- Understanding of AI application security, responsible AI, monitoring, and production support.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Total compensation:
We regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position ranges between CAD 70,000 – 92,000 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications. This position is also eligible for Cognizant’s discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
