🚀 Who we are:
Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies across a wide range of industries.
🧠 About the Product:
We’re hiring for a global technology-driven financial services platform serving millions of users across multiple regions and offering access to multi-asset trading, including stocks, indices, currencies, and digital assets.
The product operates as a regulated, data-intensive financial ecosystem, processing massive volumes of transactions and real-time customer interactions every day.
The company is well-funded, profitable, and known for pushing innovation in AI, automation, and data governance across its operations.
🤖 About the Role:
We’re looking for an Applied AI Engineer (Squad Lead) to join a fast-paced, AI-first environment where AI is already a core part of how the company operates.
This is not a role focused on adding isolated AI features or building prototypes that never reach production. You’ll take real business challenges and turn them into production-grade AI agents and applications — end to end, from idea and POC to deployment and continuous improvement.
You’ll have significant autonomy and ownership, work with modern GenAI and agentic technologies, and use AI-native development workflows every day.
As the squad grows, you’ll also guide other engineers while remaining deeply hands-on.
🔧 What you’ll do:
Design, build, and deploy AI-powered agents and applications from concept through production
Develop and maintain AI pipelines for data ingestion, embeddings, retrieval, and LLM orchestration
Write high-quality backend and frontend code to embed AI into user-facing tools and internal platforms
Build APIs and integrations with CRMs, databases, and third-party services
Work with structured, unstructured, and vectorized data to power intelligent workflows and decision-making
Monitor, evaluate, and continuously improve AI systems for performance, reliability, and cost efficiency
Design and implement scalable, secure, and observable cloud-based solutions
Own production systems end-to-end, including debugging, enhancements, and ongoing optimization
Collaborate closely with product and business stakeholders to translate real-world requirements into high-impact AI solutions
Guide other engineers and help shape the technical direction of the squad while staying hands-on
🛠️ Tech stack:
AI: LLMs, RAG, AI Agents, Multi-Agent Systems, Tool Calling, Structured Outputs, Memory AI Frameworks: LangChain, LangGraph, LangSmith, Semantic Kernel AI Development: Cursor, Claude Code, AI-native development workflows Data: Vector Databases, Embeddings, Structured & Unstructured Data Backend: APIs, Integrations, Modern Backend Technologies Frontend: Modern frontend frameworks for complex AI-powered workflows Cloud: Azure / AWS / GCP Architecture: Distributed Systems, Event-Driven Architectures, Observability, Security
✅ What we’re looking for:
5+ years of software engineering experience in backend or full-stack development
Proven experience using AI-native development workflows such as Cursor or Claude Code on a daily basis for production systems
Hands-on experience building production AI agents, including RAG, multi-agent orchestration, tool calling, structured outputs/validation, memory, and workflow management
Proven track record of deploying LLM-powered systems into production
Strong backend and modern frontend development skills for building complex workflows
Experience with Azure, AWS, or GCP and designing scalable cloud architectures
Practical experience with vector databases and embedding pipelines
Deep understanding of system design, scalability, observability, and security
Experience leading small development teams or owning a technical domain
Strong communication, stakeholder management, and problem-solving skills
Fluent English — written and verbal
⭐️ Nice to have:
Experience
