OTAKOYI

We are hiring Forward Deployed Engineers (FDEs) - senior, product-minded builders who are handed a goal, not a backlog, and own it from the first conversation to a shipped product.You will embed directly with the product and business teams who have the problem, and deliver end-to-end.

What you'll own:

• Projects, end-to-end. Take an idea or a problem from discovery -> design -> build -> ship -> iterate, with minimal oversight. You are accountable for the outcome, not just the code.
• Embedding with the teams who own the problem. Sit close to HP's product and business teams, understand what actually matters, and translate ambiguous needs into working software.
• Build fast, then harden. Stand up prototypes in days to validate an idea, then evolve the winners into robust, fully realized products.
• Scope, sequence, and protect delivery. Break an open-ended problem into clear workstreams, sequence them, make explicit trade-offs between scope, speed, and quality, and remove blockers before
they cost you.
• The whole stack. Work across frontend, backend, data, infrastructure, and AI - picking the right tool for the job rather than the one you know best.
• AI as a force multiplier. Use AI coding tools and agentic workflows aggressively to design, build, and ship more - and faster - than a traditional team would.
• AI-native products. Integrate LLMs, agents, retrieval, and real-time / voice capabilities into real products, with the judgment to know when AI is the answer and when it isn't.
• Close the loop with the business. Own a measurable outcome, not just a deliverable - track the metrics that matter, understand how each project creates value, and let impact guide what you build next.
• Feed learnings back into R&D. Share what worked and what didn't, and codify the patterns that work into reusable tools, playbooks, and building blocks the whole team can build on.

Must-haves:

• Deep seniority (7+ years). A track record of owning significant systems or products end-to-end.Evidence of real delivery matters more than a job title.
• True end-to-end / product engineering. You can take something from zero to one and all the way to a shipped, live product by yourself - design, implement, deploy, and operate it - across the full stack.
• AI-native to the core. This goes without saying for us: agentic coding tools like Cursor, Claude Code, and Codex are part of your daily workflow, not an occasional experiment - you build with AI by default.
You stay current with a fast-moving ecosystem and fold new capabilities into how you work the moment hey land.
• Problem decomposition. Handed a vague, open-ended problem, you structure it into a clear plan, reason about the cost and consequence of each option, and prioritize ruthlessly toward impact.
• High autonomy and ownership. You thrive in ambiguity, set your own direction, unblock yourself, and consistently deliver without being managed.
• Exceptional communication. Outstanding written and spoken English. You can run a working session, present a direction, write a crisp doc, and align people who don't think like engineers. For an FDE this is non-negotiable - it is half the job.
• Bias for speed and impact. You ship, learn, and iterate quickly. You would rather validate an idea in a week than perfect a plan for a month.
• Business sense. You understand how businesses work, what the metrics mean, and how the thing you are building actually creates value - and you use that to prioritize.

 

Bonus points
• Experience building AI / LLM products that shipped to real users - agentic workflows, RAG, evaluation frameworks, guardrails, and real-time / voice.
• A 0-to-1, startup, founder, or consulting background - you have worn many hats and been close to customers.
• A portfolio of side projects, open source, or shipped work that shows range and initiative.
• Comfort being embedded with non-technical stakeholders and business teams.

OTAKOYI is looking for a smart and eager Senior AI Engineer to join our project team. We like challenges and self-development. If you like it too, don’t hesitate, join us!

Our Partner has an advanced, enterprise-grade agentic AI platform that centralizes intelligence, knowledge, and task automation across ecosystem. Built to enhance productivity, orchestrate complex workflows, and provide proactive insights, it is more than a chatbot—it’s an AI-powered front-end for the company's digital transformation. The platform also underpins another application known as Studio AI, for which this role will also be responsible.

This is a pivotal role, responsible for defining and executing the long-term AI strategy, owning system architecture, and providing strong technical direction to evolve the platform. If you have a passion for building transformative AI solutions, excel in strategic thinking, and thrive in taking architectural ownership — this role offers the opportunity to make a lasting impact.
The ideal candidate will bring a unique mix of visionary thinking, deep technical expertise, and hands-on experience, capable of driving Navigator and Studio AI’s next phase of innovation through technical leadership and architectural excellence.
 

Required Skills 

• Deep AI Expertise: Deep knowledge of machine learning techniques, NLP, LLMs, and data-driven AI architectures, with hands-on experience designing and deploying complex AI systems;
• AI Tech Stack: Proficiency with AI development tools and frameworks such as Azure ML, PyTorch, TensorFlow, LangChain, and transformer-based models;
• Cloud Infrastructure: Advanced experience with Azure-based cloud ecosystems and Kubernetes-based orchestration for scalable AI workloads;
• Production-Grade AI Systems: Experience with vector search (e.g., Milvus), real-time APIs, embedded analytics, and third-party integrations (e.g., MS Graph API, Copilot Studio);
• System Design and Architecture: Expertise in designing scalable, secure, and fault-tolerant AI systems, including familiarity with microservices, API management, and real-time data processing;
• Technical Communication: Ability to clearly articulate architectural decisions, technical trade-offs, and AI roadmaps to cross-functional stakeholders;
• Strategic Mindset: Strong analytical and strategic thinking skills, with the foresight to anticipate future AI trends and an understanding of how to apply them to a multi-functional platform like Navigator;
• Upper-Intermediate level of English is mandatory.

Preferred Skills 

• Industry Experience: Experience within a large, matrixed organization,
preferably in technology or a related industry;
• Experience with AI-driven Multi-Modal Systems: Knowledge of systems integrating chat, voice, visual data, and embedded dashboards is a plus;
• Enterprise AI Context: Familiarity with compliance, governance, and scalability considerations in deploying AI in enterprise environments;
• Project Management: Experience with prioritization and execution in agile settings (without direct team ownership).

Responsibilities 

• Vision & Strategy: Develop and continuously refine the long-term vision , driving innovation, user-centricity, and strategic alignment with Company's broader business goals;
• AI & System Architecture: Lead the design and development of AI-driven architecture, ensuring scalability, robustness, and cutting-edge technology integration across ML, NLP, data pipelines, and automation components;
• Cross-Functional Collaboration: Partner closely with stakeholders from product, design, engineering, and business units to ensure Navigator’s roadmap aligns with business needs and delivers tangible value across Company;
• Platform Innovation: Keep Navigator at the forefront of technology by
incorporating emerging trends in agentic AI, multi-modal interfaces, generative AI, and autonomous orchestration;
• Quality & Performance Optimization: Establish benchmarks for platform performance, reliability, and security. Regularly review and refine Navigator’s core systems to ensure peak performance and user satisfaction;
• User Experience Focus: Drive a user-first approach, ensuring that Navigator’s functionality and interface support intuitive and seamless interactions for Company's employees, partners, and customers;
• Vendor & Technology Management: Evaluate and manage strategic relationships with third-party vendors, especially in areas like NLP, Microsoft integrations (e.g., Copilot), and cloud infrastructure (Azure), to leverage the best available technology.

Recruitment process 

1. Pre-screening Interview with Recruiter (up to 45 minutes)
2. Tech Interview (up to 1,5 hour)
3. Client Interview (up to 45 minutes)