Forward Deployed Engineer, Strategic Inference
Together AI
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This role on the market
195 open inference roles across 48 companies are on ApplySarthi right now, most of them in Bengaluru (3), Delhi NCR (2).
- AI Research Engineer, InferenceWehrtyou
- Lead Data Scientist, Causal Inference & Clinical Outcomes ContractorJobgether
- Senior AI Research Engineer - LLM Training & Inference InfrastructureDatadog
- Senior IA Inference Engineer (x/f/m)Doctolib
- Principal Systems Software Engineer - AI Inference & Hardware/Software Co-DesignMicron
What inference roles keep asking for: LLMs (67%), Python (62%), Machine learning (41%), PyTorch (35%), C++ (28%), Observability (26%), Kubernetes (26%), System design (26%) — counted across their open postings here.
Forward Deployed Engineer jobs in the United States · Forward Deployed Engineer jobs in San Francisco · Remote Forward Deployed Engineer jobs · Customer success jobs · LLMs jobs · Python jobs · Salesforce jobs
Together AI has 80 open roles listed here.
- Engineering Manager, Kubernetes Bare Metal Infrastructure
- Senior Web & Inbound Growth Manager
- Strategic Account Executive Inference India
- Sr. Field Marketing & Community Manager
- Event & Field Marketing Specialist
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 Together AI.
Questions you are likely to be asked
- Why do you want to join Together AI?
- What is your experience with LLMs? Tell me one thing you learned the hard way.
- How do you decide what to test, and what does good code review look like to you?
- 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?
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Practise the Forward Deployed Engineer, Strategic Inference at Together AI interview free →About the role
As a Forward Deployed Engineer (FDE) focused on Inference, you will be a hands-on technical partner to our most strategic customers — production AI teams looking to leverage high quality models and do inference at scale. For us, FDE is not a replacement for a Solutions Architect; you will partner with our SAs as a deep-domain specialist in inference optimization, fine-tuning pipelines, and production deployment. As key contributors to both the CX, Engineering, and Sales organizations, FDEs add tremendous value by ensuring we can meet the requirements of our most complex POCs, facilitate successful platform adoption, and guide tailored optimization efforts — directly impacting customer success, company growth, and the hardening of our core platform.
Responsibilities
- Inference Engine Optimization: Select, configure, and optimize inference engine based on hardware, model architecture, and workload profile
- Configuration & Performance Tuning: Develop configuration updates to win critical POCs, benchmarks, and optimize customer deployments; tune KV cache, apply speculative decoding, determine optimal tensor parallelism, and determine quantization strategy to hit throughput and latency targets.
- Strategic Customer Alignment: Act as the primary technical point of contact for aligned strategic accounts — monitoring and optimizing endpoint configurations, helping customers get the most out of the platform, and collaborating to ensure we hit critical milestones.
- Opinionated Onboarding: Establish direct alignment with strategic customers at onboarding; ensure the right inference configurations are in place from day one to improve time-to-value.
- Product Feedback Loop: Directly influence our software and model roadmap by surfacing insights from the field. Contribute back to the product where needed to support customer requirements or drive a better experience. Drive early feature and research adoption with strategic logos.
Qualifications
- Experience: 5+ years in a technical role, with a strong focus on system optimization. Recent experience in inference systems and open-source LLM deployments.
- Inference Engine Depth: Expert-level, hands-on experience with inference engines (e.g., vLLM, TensorRT-LLM, SGLang); ability to diagnose and resolve performance issues at the engine level.
- Inference Optimization: Deep knowledge of KV cache tuning, speculative decoding, tensor parallelism, pipeline parallelism, and quantization techniques
- Model Landscape Awareness: Broad knowledge of state-of-the-art open-source models and strong judgment on model selection for specific customer use cases, hardware profiles, and performance targets.
- Coding Proficiency: Strong Python skills; comfortable working in production environments
- Experience leading complex projects with exceptional project management and communication skills
About Together AI
Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.
Compensation
We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $270,000 - $300,000 OTE + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Application Policy
Please read each role carefully and apply to the position best suited to you. Candidates are limited to 6 applications within a 90-day period, and applications beyond that limit will be automatically rejected. You may apply to additional roles 90 days after your last application.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our Privacy Policy at https://www.together.ai/privacy
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Listed on greenhouse · posted 2026-05-07. ApplySarthi collects openings and links to application pages; the role is advertised by Together AI, not by us.