AI Software Engineer

About the Role An experienced AI Software Engineer at Leyton CognitX will play a driving role within a multidisciplinary team (Data Scientists, DevOps, Consultants). You will be responsible for architectural design, development, and large-scale deployment of AI-based technology solutions for internal and external clients, tackling complex, open-ended problems with sharp technical decisions, uncompromising engineering rigor, and a strong capacity for innovation.

What You'll Do

• Architecture & Development: Design, architect, and develop complete, scalable features and platforms (APIs, business logic, databases, security).
• AI Engineering: Lead the implementation of complex AI systems in production: advanced RAG pipelines, LLM agent fleets, model fine-tuning and integration (OpenAI, Anthropic, open-source LLMs).
• Quality & Clean Code: Champion best practices (SOLID principles, Clean Architecture, design patterns) and conduct thorough code reviews.
• Reliability & Testing: Define the testing strategy (TDD, unit, integration, e2e, stress tests) to ensure flawless deployments.
• MLOps & Cloud: Deploy, monitor, and optimize models and code in dedicated environments with robust CI/CD pipelines.
• Client Facing & Advisory: Act as a technical expert with clients. Understand their business challenges, break down complex concepts, and defend your architectural decisions.
• Mentoring: Support the growth and skill development of junior developers and DataLab interns.

What We're Looking For

• Engineering degree or Master's (Computer Science, Mathematics, Data Science) with 3 to 5 years of relevant experience.
• Proven track record: you have designed, developed, and deployed software solutions integrating AI (ML, NLP, or GenAI) with measurable business impact.
• Problem-solving & Autonomy: ability to take a vague business need and turn it into a solid technical architecture and finished product.
• Communication & Leadership: strong interpersonal skills to engage with demanding clients and rally a technical team.
• Technological Watch: insatiable curiosity for a fast-moving AI ecosystem.
• Strong fundamentals across system design, data structures, clean code, CI/CD, APIs, and databases, plus experience with AI/LLM integration and vector stores.

Nice to Have

• Experience with LangChain, LlamaIndex, LangGraph, FAISS, Pinecone, Qdrant, Milvus; RAG and agent ecosystems; information retrieval technologies; distributed systems.
• Proficiency in Python, TypeScript/Node.js, Java/Spring, FastAPI/Django, React; cloud platforms (AWS/GCP/Azure); Docker/Kubernetes; Git and CI/CD; OpenAI and other LLM providers.
• Experience with Elasticsearch, Kafka, RabbitMQ; microservices and event-driven architectures.

Compensation & Benefits

• Salary: not disclosed. Benefits and perks available on request.