OTAKOYI

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)

OTAKOYI is looking for a smart and eager Full-stack Engineer to join client’s team. We like challenges and self-development. If you like it too, don’t hesitate to join us!

Mandatory Technical Skills

• REST API design and consumption
• TypeScript (entire codebase)
• NestJS (modules, controllers, providers, interceptors)
• Strong experience with Next.js
• PostgreSQL — querying, transactions, schema design
• ORM usage (Prisma or equivalent)
• Object storage / S3-compatible APIs
• AI API integration — structured outputs, prompt engineering
• LangChain (AI orchestration)
• Redis (optional — queues/caching)

Desirable Technical Skills

• Domain-Driven Design (DDD) — aggregates, factories, repositories
• Docker and Docker Compose for local service orchestration
• CI/CD pipelines
• Deep understanding of software design principles (SOLID, separation of concerns, testability)

Tools & Platforms

• Docker / Docker Compose (PostgreSQL, Redis, optional MinIO)
• Spider Cloud API (web scraping SaaS)
• Prisma CLI (migrate, generate)
• Git

Responsibilities

• Design, build, and maintain RESTful APIs and UIs with TypeScript, NestJS, and Next.js.
• Architect backend services with SOLID principles and scalable patterns.
• Translate requirements from product/design into technical specs; deliver in iterations.
• Model data with PostgreSQL; use Prisma for access, migrations, and schema evolution.
• Integrate AI capabilities via AI APIs and LangChain; craft structured outputs.
• Work with S3-compatible storage; manage caching/queuing (Redis) as needed.
• Build and maintain CI/CD pipelines, tests, and deployments.
• containerize with Docker/Docker Compose; manage multi-service environments.
• Ensure code quality, docs, and reviews; mentor juniors; share knowledge.
• Collaborate on architecture, security, performance, and observability.

Recruitment process

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

What do we offer?We offer the opportunity to be part of an ambitious team and an experience-driven company to achieve rapid and comprehensive career growth. Do you think that’s all that we can offer? Just have a look at our benefits and bonuses below:
💰Paid vacations and sick leaves;
💸Fair remuneration based on your self-development results;
📢Referral program for candidate recommendation;
🤱Loyal maternity leave policy;
📝Accountant support and tax coverage;
📑Courses of English with the professional teacher;
📚Educational training within the company and outside;
💺Ability to combine remote work and office;
🎉Regular party and team buildings and different funny activities;