Forward Deployed Engineer
Offre en anglaisThe role involves building agentic AI workflows and high-impact prototypes for scientific and engineering customers. The engineer acts as a technical bridge, converting customer requirements into product capabilities and shaping the product roadmap.
- Hybride
- Toronto, ON
- Publié 22 juill. 2026
- Postuler avant le 21 août 2026
- 1 poste
Résumé du poste
This is a role that TechTree is recruiting for on behalf of one of our clients. TechTree is an AI-driven recruitment platform working with high-growth companies. When you apply, our AI Agent matches you not just to this role, but to other relevant opportunities across our network, so one application can unlock multiple roles. Forward Deployed Engineer — Build agentic AI workflows for scientific and engineering customers. Contract, hybrid. An innovative company is building AI systems that reason with the rigour of the scientific method — combining deep learning with formal logic and physics-based modelling. Mission: a 30×30 improvement in the speed, accessibility, and cost of semiconductor and photonic hardware development by 2030. As Forward Deployed Engineer, you’ll work directly with engineers and researchers at customer organisations, acting as the technical bridge between customer requirements and product capabilities. What You’ll Do → Engage deeply with customer teams to understand design workflows → Build high-impact prototypes: AI-assisted modelling, circuit optimisation, simulation automation → Design and deploy agentic AI workflows orchestrating LLMs, physics-based models, and customer data → Convert field learnings into structured feedback shaping product roadmap → Serve as trusted technical partner across pilots, evaluations, and production deployments What We’re Looking For → MSc or PhD in electrical engineering, photonics, applied physics, applied math, or equivalent → 4+ years in software engineering, applied AI, forward deployed, or solutions engineering → Strong Python — scientific computing, workflow orchestration, API integration → Hands-on with LLMs, APIs, agentic systems, orchestration frameworks → Excellent communicator across engineers, managers, and enterprise stakeholders Bonus: LangChain, LlamaIndex, Pydantic, Ray EDA environments Cloud/HPC deployment R&D collaboration Setup: Contract Hybrid, 2–3 days/week in office $150K–$250K USD What is TechTree? TechTree combines AI agents with a human support team to give candidates a better, more transparent hiring experience. Our AI Agent gets to know your background, experience, and what you’re optimising for. It continuously matches you to live roles across our network where there’s genuine alignment, not just keyword overlap. Our Human Team is there to support you through the process — answering questions, adding context, and making sure you’re never left guessing or ghosted. We only post real jobs. Every role on TechTree is a live, active hire.
Ce que vous ferez
The role involves building agentic AI workflows and high-impact prototypes for scientific and engineering customers. The engineer acts as a technical bridge, converting customer requirements into product capabilities and shaping the product roadmap.
Exigences
Candidates need an MSc or PhD in a relevant scientific or engineering field and over 4 years of experience in software or AI engineering. Proficiency in Python, LLMs, and orchestration frameworks is required.
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Python
- Scientific Computing
- Workflow Orchestration
- API Integration
- LLMs
- Agentic Systems
- Circuit Optimisation
- Simulation Automation
- Physics-based Modelling
- Technical Communication
- LangChain
- LlamaIndex
- Pydantic
- Ray
- EDA Environments
- Cloud/HPC Deployment
Domaines d’emploi
- Engineering
- Software
- Science & Research
- Technology
- Data & Analytics
Renseignements supplémentaires
- Formation minimale
- Maîtrise
- Expérience minimale
- 5+ ans
- Postuler avant le
- 21 août 2026
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Présence au bureau
- 3 jours par semaine
- Niveau d’expérience
- Mid-Senior level