Llm Engineer
ZS
ZS
is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by
bringing together data, science, technology
and
human ingenuity
to deliver better outcomes for all. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a
client-first mentality
to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.LLM Engineer
We are seeking a highly skilled LLM Engineer with 1-4 years of experience in software development and 1-2 years in LLM solution development. The ideal candidate will have strong experience working with Python, LLM solution patterns and tools (RAG, Vector DB, Agentic workflows, LoRA, etc.) cloud platforms (AWS, Databricks and Azure), and DevOps tools. They will be responsible for designing and developing scalable software solutions, leading architecture design, and ensuring the performance and reliability of our systems.What You’ll Do:
Take ownership of architecture design and development of scalable and distributed software systemsTranslate business to technical requirementsOwn technical execution, ensuring code quality, adherence to deadlines, and efficient resource allocationData driven decision making skills with focus on achieving product goalsDesign, develop and deploy LLM based pipelines involving patterns like RAG, Agentic workflows, PEFT (e.G. LORA, QLORA, etc.)Responsible for the complete software development lifecycle, including requirements analysis, design, coding, testing, and deployment.Utilize AWS services/ Azure services like IAM, Monitoring, Load Balancing, Autoscaling, Database, Networking, storage, ECR, AKS, ACR etc.Utilize Databricks capabilities, esp. Unity Catalog and be able to architect the governance layer from data all-the-way to the AI model outputDesign, develop and deploy prompt and response guardrails to enable responsible AI requirementsImplement DevOps practices using tools like Docker, Kubernetes to ensure continuous integration and delivery. Develop DevOps scripts for automation and monitoring.Collaborate with cross-functional teams, conduct code reviews, and provide guidance on software design and best practices.What You’ll Bring:
Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent work experience).1-5 years of experience in software development, with relevant work experience in LLM app development.Strong coding skills with proficiency in Python and JavascriptExperience with API frameworks both stateless and stateful such as Fast API, DjangoProficient in cloud platforms, specifically AWS, Databricks and AzureProficient in Infra-as-Code, esp. focused on developing Terraform scripts and CloudformationKnowledge and hands-on experience with front-end development (React JS, Next JS, Tailwind CSS) preferredStrong experience in LLM patterns like RAG, Vector DB, Hybrid Search, Agent development, Agentic workflows, prompt engineering, etc.Strong experience with LLM APIs (Open AI, Anthropic, AWS Bedrock), SDKs (Langchain, DSPy)Hands‑on experience with DevOps tools including Docker, Kubernetes, and AWS services (Redshift, RDS, S3).Hands‑on experience with Databricks solutions including Unity Catalog.Experience in production deployments involving thousands of users, esp with capabilities like Redis, Vector Search, etc.Strong understanding of scalable application design principles and experience with security best practices and compliance with privacy regulations.Good knowledge of software engineering practices like version control (GIT), DevOps (Azure DevOps preferred) and Agile or Scrum.Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.Experience of SDLC and best practices while developmentExperience with Agile methodology for continuous product development and deliveryHow you’ll grow:
Cross-functional skills development & custom learning pathwaysMilestone training programs aligned to career progression opportunitiesInternal mobility paths that empower growth via s-curves, individual contribution and role expansionsPerks & Benefits:
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in Canada, visit ZS Canada office locations | Where we work | ZS.Hybrid working model:
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.Travel:
Travel is a requirement at ZS for client facing ZSers;
business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
#J-18808-Ljbffr
is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by
bringing together data, science, technology
and
human ingenuity
to deliver better outcomes for all. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a
client-first mentality
to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.LLM Engineer
We are seeking a highly skilled LLM Engineer with 1-4 years of experience in software development and 1-2 years in LLM solution development. The ideal candidate will have strong experience working with Python, LLM solution patterns and tools (RAG, Vector DB, Agentic workflows, LoRA, etc.) cloud platforms (AWS, Databricks and Azure), and DevOps tools. They will be responsible for designing and developing scalable software solutions, leading architecture design, and ensuring the performance and reliability of our systems.What You’ll Do:
Take ownership of architecture design and development of scalable and distributed software systemsTranslate business to technical requirementsOwn technical execution, ensuring code quality, adherence to deadlines, and efficient resource allocationData driven decision making skills with focus on achieving product goalsDesign, develop and deploy LLM based pipelines involving patterns like RAG, Agentic workflows, PEFT (e.G. LORA, QLORA, etc.)Responsible for the complete software development lifecycle, including requirements analysis, design, coding, testing, and deployment.Utilize AWS services/ Azure services like IAM, Monitoring, Load Balancing, Autoscaling, Database, Networking, storage, ECR, AKS, ACR etc.Utilize Databricks capabilities, esp. Unity Catalog and be able to architect the governance layer from data all-the-way to the AI model outputDesign, develop and deploy prompt and response guardrails to enable responsible AI requirementsImplement DevOps practices using tools like Docker, Kubernetes to ensure continuous integration and delivery. Develop DevOps scripts for automation and monitoring.Collaborate with cross-functional teams, conduct code reviews, and provide guidance on software design and best practices.What You’ll Bring:
Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent work experience).1-5 years of experience in software development, with relevant work experience in LLM app development.Strong coding skills with proficiency in Python and JavascriptExperience with API frameworks both stateless and stateful such as Fast API, DjangoProficient in cloud platforms, specifically AWS, Databricks and AzureProficient in Infra-as-Code, esp. focused on developing Terraform scripts and CloudformationKnowledge and hands-on experience with front-end development (React JS, Next JS, Tailwind CSS) preferredStrong experience in LLM patterns like RAG, Vector DB, Hybrid Search, Agent development, Agentic workflows, prompt engineering, etc.Strong experience with LLM APIs (Open AI, Anthropic, AWS Bedrock), SDKs (Langchain, DSPy)Hands‑on experience with DevOps tools including Docker, Kubernetes, and AWS services (Redshift, RDS, S3).Hands‑on experience with Databricks solutions including Unity Catalog.Experience in production deployments involving thousands of users, esp with capabilities like Redis, Vector Search, etc.Strong understanding of scalable application design principles and experience with security best practices and compliance with privacy regulations.Good knowledge of software engineering practices like version control (GIT), DevOps (Azure DevOps preferred) and Agile or Scrum.Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.Experience of SDLC and best practices while developmentExperience with Agile methodology for continuous product development and deliveryHow you’ll grow:
Cross-functional skills development & custom learning pathwaysMilestone training programs aligned to career progression opportunitiesInternal mobility paths that empower growth via s-curves, individual contribution and role expansionsPerks & Benefits:
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in Canada, visit ZS Canada office locations | Where we work | ZS.Hybrid working model:
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.Travel:
Travel is a requirement at ZS for client facing ZSers;
business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
#J-18808-Ljbffr
Vacancy posted 1 hour ago
Similar jobs that could be interesting for youBased on the Llm Engineer in Winnipeg, MB vacancy
- Turn LLM capabilities into customer-facing Vanta products through prompting, RAG, agent frameworks, and thoughtful full-stack engineering.Vanta is seeking a Senior Applied AI Engineer to build AI-enabled product experiences. You will work cross-functionally to understand customer...Suggested
- Use Python, LLM APIs, and production engineering practices to deliver AI-assisted HR and payroll testing automation for Brunel.This remote contract role supports a government project in Canada, with Eastern Time hours. As an AI engineer, you will write, measure, and ship production...SuggestedContract workInternshipRemote work
- Python and LLM engineering define this remote Senior AI/LLM Engineer position with Kake, building production-ready applications and systems at scale.Kake seeks senior engineers who design, build, and productionize AI systems. You will work across Python, FastAPI, LAG pipelines...SuggestedRemote work
- ...megawatts of scale, transforming key workloads with ultra high-speed inference. About the Role We are seeking a versatile and experienced engineer to join our Inference Core Model Bringup team. This team is responsible to rapidly bring up state-of-the-art open-source models (like...Suggested
- Engineer the harness behind Float agents with LLM pipelines, observability, and safe money movement capabilities from Toronto’s hybrid workplace.This Senior Engineer, Applied AI position focuses on the infrastructure every Float agent uses. You will build context management...Suggested
- Drive model integration projects as a Senior Engineer focused on AI LLMs. Engage in end-to-end processes from architecture translation to runtime optimizations and performance debugging. Be a vital member of the Inference Core Model Bringup team, responsible for the integration...
$218.89k - $245.95k per year
...individual conversations so they can debug them. We're bringing LLM and agent observability together, and we own both the data foundation... ...on top of it. You'll work in a small, cross-functional group of engineers with a dedicated product manager and designer, shipping features...InternshipWork at officeLocal areaWork from homeHome officeVisa sponsorshipShift work- Apply LLM, RAG, and software safety expertise at CS Group Canada in a hybrid, full-time contract focused on SW-FMEA automation.As a Software Safety Engineer, you will support the ZHAP improvement initiative for two months. The work combines artificial intelligence, C/C++ analysis...Full timeContract work
- Shape LLM platform observability at BMO, using OpenTelemetry, Prometheus, and Grafana in a hybrid engineering environment.The Senior AI Engineer builds capabilities for tracing agent workflows and managing production AI behavior. Responsibilities include capturing spans, prompts...
- Design scalable LLM solutions on Google Cloud using Vertex AI, BigQuery, and strong software engineering practices for production delivery.This Senior LLM Solutions Engineer role focuses on enterprise AI applications across architecture, integration, deployment, and support....
- Python and LLM application engineering define this backend role at Supra ITS. Build production agent runtimes for cloud and on-premise deployments.You will own agent loops, tool calling, retrieval, file context, and LLM traffic routing. The work uses Python, FastAPI or similar...
- Build Java microservices and LLM-powered features as a Senior Java Developer with LLM expertise in a hybrid downtown Toronto role.Miratech seeks a senior engineer to develop core banking systems for a major financial services client. You will apply Java, Spring Boot, RESTful...
- Build production LLM services in Downtown Toronto using Python, Go, and modern AI coding assistants within a hybrid engineering team. This full-time role centers on enterprise AI platform development.As a Senior AI Engineer, you will design, ship, and run services used across...Full time
- Elevate your career remotely with Honeycomb as a Senior Software Engineer II specializing in LLM Observability. Leverage your expertise in AI systems and full-stack development while shaping observability tools for notable clients. In this senior role at Honeycomb, you will...Remote work
- Lead LLM systems at Axya, working hands-on with Python, retrieval, agent workflows, and evaluation in a 100% remote environment.As Lead AI Engineer, you will own Axya’s AI architecture and technical direction. You will report to the CTO while partnering with Product, Customer...Remote work
- Develop LLM workflows and data pipelines for AXIS Capital’s enterprise AI platforms using Databricks, PySpark, and Python. The work supports business teams.This Senior AI Platform Engineer builds reusable capabilities for underwriting, claims, operations, and strategic functions...
- Distributed LLM performance engineering powers Huawei Canada’s Ascend NPU training systems with MindSpeed, hybrid parallelism, and profiling expertise.This Senior System Engineer position focuses on foundation-model pre-training and post-training at scale. You will architect...
- Remote anywhere in Canada, this machine learning systems engineer benchmarks and tunes production LLM serving across AWS Trainium2 and Trainium3. Python and PyTorch skills are central.Capgemini Engineering seeks a hands-on engineer focused on accelerator performance and customer...Remote work
- Shape LLM and RAG pipelines through data modeling, embeddings, and vector databases at Connor, Clark & Lunn Financial Group.As a Senior Data Integration Engineer, you will enrich structured, semi-structured, and unstructured data for enterprise AI. The role combines semantic...
- Senior Machine Learning Engineer – LLM’sTech scale up developing democratized AI Technology, backed by one of the worlds leading AI investors with multiple successes & exits.You’ll have experience with LLM’s and Reinforcement learning.BA in Computer Science (Masters or PhD preferred...
- Build LLM- and RAG-based safety automation with CS Group Canada, applying C/C++ analysis and CI/CD pipelines to software-critical systems.This Software Safety Engineer assignment supports automated SW-FMEA generation from software architectures, SysML specifications, and safety...
- ...Own the lifecycle from data to deployment.As a Machine Learning Engineer, you will research and implement modern architectures for complex... ...proficiencyExperience with PyTorch or modern deep learning frameworksExperience with LLM fine-tuning, prompt engineering, RAG, and inferenceBachelor’s or...
- Get notified about new Director Of Software Engineering jobs in United States . 7,000+ Director Of Software Engineering Jobs in United States Director, Software Engineering, Product Eng Director of Software Engineering – Marketplace Director, Software Engineering...Work at officeRemote work
- Remarcable, Inc. in Vancouver seeks an AI Engineer to turn data from orders, invoices and catalogs into production-grade AI features. You will design, build and ship LLM-powered capabilities across our platform and internal tools, from invoice matching to a data lakehouse-backed...
- Cohere is a leading security-first enterprise AI company building foundation AI models and end-to-end products. We are hiring for a role that builds and owns pipelines for post-training data used to train large language models. You will collaborate with researchers and annotation...Remote workWorldwide
- A tech startup based in Quebec is looking for a talented AI Engineer. This role involves designing and maintaining agents, collaborating with... .... Ideal candidates have proficiency in Python, experience with LLM frameworks, and strong problem-solving skills. This position offers...
- ZS is seeking an LLM Engineer to design and build scalable software systems leveraging Python, LLM patterns, and cloud platforms. You will translate business requirements into technical solutions, own the execution, and ensure quality across the full SDLC. You will work with...
- ...role247 Labs is looking for a hands-on AI Engineer to design, develop, deploy, and maintain production... ...including meaningful hands-on production LLM development.Strong Python programming... ...using vector databases or search engines.Experience with tool calling, workflow orchestration...
$127k - $225k per year
...immediate permanent opening for a Senior Engineer. About the team: The Computing Data... ...training pipelines using MindSpeed (MindSpeed-LLM / MindSpeed-MM) alongside upstream... ...local memory hierarchy/UB, memory movement engines, and HCCL collective communication). Hands...Long term contractPermanent employmentInternshipLocal areaImmediate start- ...remote-first company and a people-first global community of senior engineers. Kake engineers are behind some of the world’s most innovative... ...people stay, grow, and thrive (and love eating kake!). Senior AI/LLM Engineers with strong Python experience, skilled in designing, building...Remote workFlexible hours
Do you want to receive more vacancies?
Subscribe and receive similar vacancies to Llm Engineer. Be the first to apply!
Related searches
- solid waste engineer Winnipeg, MB
- voip engineer Winnipeg, MB
- resident engineer Winnipeg, MB
- ingenieur Winnipeg, MB
- certification engineer Winnipeg, MB
- failure analysis engineer Winnipeg, MB
- engineering summer student Winnipeg, MB
- graduate engineer Winnipeg, MB
- junior engineer Winnipeg, MB
- forklift engineer Winnipeg, MB

