Senior/Staff Software Engineer (Back-End), Inference
Cohere
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This role on the market
166 open inference roles across 46 companies are on ApplySarthi right now, most of them in Delhi NCR (2), Bengaluru (2).
- Solutions Architect, Inference DeploymentsNvidia
- Principal Engineer: Annapurna Labs Training and Inference , Annapurna Labs, AWS Neuron SDKAnnapurna Labs
- Technical Program Manager, InferenceAnthropic
- Senior Applied Scientist, Efficient LLM Inference & Model OptimizationNebius
- Working Student - LLM Quantization & Inference PerformanceTensordyne
What inference roles keep asking for: LLMs (60%), Python (55%), Machine learning (45%), PyTorch (34%), System design (29%), Observability (27%), Kubernetes (27%), C++ (26%) — counted across their open postings here.
Software Engineer jobs in Canada · Software Engineer jobs in the United States · Software Engineer jobs in San Francisco · Software Engineer jobs in New York · Software Engineer jobs in Toronto · Remote Software Engineer jobs · C++ jobs · Go jobs · Java jobs · Observability jobs
Cohere has 124 open roles listed here.
- VP Sales, EMEA
- Revenue Enablement Manager - EMEA
- Member of Technical Staff - Post-Training (Reinforcement Learning & Generalization)
- Member of Technical Staff - Post-training (Data Infrastructure)
- Forward Deployed Engineer, Agentic Platform (Korea)
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for inference roles keep coming back to LLMs, Python, Machine learning, PyTorch. Practise those questions before you sit with Cohere.
Questions you are likely to be asked
- Why do you want to join Cohere?
- What is your experience with System design? Tell me one thing you learned the hard way.
- Describe a time a deadline forced a trade-off in quality. What did you choose and why?
- How would you design an API for a feature you have worked on?
- What do you do when a production issue happens on your code?
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Practise the Senior/Staff Software Engineer (Back-End), Inference at Cohere interview free →Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? This role is for a highly experienced Back-End Software Engineer who wants to work on core systems that shape how the platform (Model Vault) operates. You will help define the architecture of the platform where reliability, security, performance, and simplicity all matter, and where many of the problems do not have off-the-shelf solutions. Model Vault is Cohere’s inference platform for deploying and operating models securely at enterprise scale. The team owns the systems between a customer and the underlying AI infrastructure, including identity, deployments, metering, billing, security, privacy, and confidential computing. We are strengthening these systems as Model Vault grows, with the goal of scaling to millions of users and supporting some of the world’s most demanding enterprise workloads. As a Senior/Staff Software Engineer, you will: Evolve and scale the backend systems that power Model Vault, including authentication and authorization, deployment management, billing, metering, and customer lifecycle. Lead major architectural initiatives across identity, payments, usage systems, platform scalability, and other core product foundations. Build highly reliable control-plane services for provisioning, configuring, scaling, and operating model deployments across clouds and hardware platforms. Design APIs and distributed systems with strong guarantees around correctness, consistency, isolation, failure recovery, idempotency, and observability. Build security and privacy into the platform architecture, including tenant isolation, least-privilege access, auditability, secrets management, encryption, and confidential computing boundaries. Solve complex problems that span backend systems, cloud infrastructure, security, and AI inference, where conventional SaaS patterns are often not enough. Drive projects end-to-end, from architecture and threat modeling through implementation, rollout, production operations, and iteration based on real customer workloads. You may be a good fit if: You are a strong backend engineer with excellent fundamentals in distributed systems, databases, networking, operating systems, and security. You have strong programming fundamentals and experience building production systems in languages such as Go, Python, Java, C++, Rust, or similar. You write clean, maintainable, well-tested code and make thoughtful tradeoffs between simplicity, performance, and correctness. You have designed and operated production systems where correctness, availability, security, and performance mattered at significant scale. You can take ambiguous, high-impact technical problems, define the right architecture, and drive them through to reliable production systems. You have strong systems-design instincts and understand concepts such as concurrency, consistency, caching, queues, rate limiting, backpressure, failure domains, idempotency, and graceful degradation. You think deeply about security boundaries and understand authentication, authorization, identity, cryptography, secrets, tenant isolation, and how small implementation choices can create significant security risks. You are comfortable reasoning across backend services, APIs, databases, distributed systems, and the cloud infrastructure they run on. You are comfortable diving into unfamiliar codebases and debugging complex problems that cross service or system boundaries. You care about the details of production engineering, including instrumentation, capacity planning, migrations, backwards compatibility, incident response, and safe rollouts. You are comfortable challenging existing architecture and evolving foundational components when the system’s needs change. You have a track record of taking technically difficult projects from an unclear starting point to systems that other engineers and customers depend on. Full-Time Employees at Cohere enjoy these Perks: A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. Full health and dental benefits, including a separate budget for mental health. RRSP matching, 401K, Pension Scheme. 100% Parental Leave top-up for up to 6 months, for either parent. Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. 6 weeks of paid vacation (30 working days!) Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work: Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. For those not near an office: a co-working benefit so you can work alongside others in your city. Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form , and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.
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Listed on ashby · posted 2026-10-15. ApplySarthi collects openings and links to application pages; the role is advertised by Cohere, not by us.