Sr. AI Engineer - Data Scientist

• Our client is seeking engineers who think holistically, automate relentlessly, and are fluent in the fast-moving world of AI tooling and infrastructure, but grounded in disciplined engineering principles.
• AI organization is building high-impact AI-powered applications that deliver real business value at speed. As a Senior AI Engineer, you’ll play a critical role in building and deploying scalable AI-powered applications through solid software engineering excellence combined with pragmatic use of modern AI capabilities.
• This is a role for seasoned engineers who are excited to apply AI in practical, scalable ways.
• The client is looking for individuals who thrive at the intersection of disciplined software development and modern AI applications.
• You should be comfortable working across the full lifecycle of a product; from ideation and architecture to deployment and automation, while navigating ambiguity and driving toward execution.
• Strong systems thinking, ownership mindset, and the ability to ship value fast are essential.

• Design, develop, and maintain production-grade AI applications and services using modern software engineering practices (CI/CD, testing, observability, cloud-native design).
• Define and implement foundational platforms and tools (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable and scalable across the enterprise.
• Participate in cross-functional team initiatives and embedded projects with business stakeholders to rapidly build and deploy AI solutions that solve high-priority business problems.
• Evaluate and integrate existing AI tools, frameworks, and APIs (e.g., LLMs, vector DBs, retrieval-augmented generation, AI agents) into robust applications.
• Champion automation in workflows, from data management ingestion and preprocessing to evaluation, to model integration and deployment.
• Collaborate with data scientists, product managers, and other engineers to ensure end-to-end delivery and reliability of AI products.
• Stay current with emerging AI technologies but prioritize practical application and delivery over experimental research.
• Contribute to the internal knowledge base, tooling libraries, and documentation to scale AI engineering best practices across the organization.

• 5+ years of professional software engineering experience; ability to independently design and ship complex systems in production.
• Strong programming skills in Python (preferred), Java, or similar languages, with experience in developing microservices, APIs, and backend systems.
• Strong problem-solving skills and the ability to balance engineering rigor with delivery speed.
• Solid understanding of software architecture, cloud infrastructure (AWS, Azure, or GCP), and modern DevOps practices.
• Experience integrating machine learning models into production systems (e.g., LLMs via APIs, fine-tuning, RAG patterns, embeddings, agents, and crews of agents).
• Ability to move quickly while maintaining code quality, test coverage, and operational excellence.

• Familiarity with AI/ML tools such as LangChain, Haystack, Hugging Face, Weaviate, or similar ecosystems.
• Hands-on experience with Retrieval Augmented Generation applications, AI agents, and systems built around them.
• Experience using GenAI frameworks such as LlamaIndex, Crew AI, AutoGen, or similar agentic/LLM orchestration toolkits.
• Exposure to working with unstructured data (documents, conversations, images) and transforming it into usable structured formats.
• Experience building chatbots, search systems, or generative AI interfaces.
• Background in working within platform engineering or internal developer tools teams.
• Prior experience working in an embedded (forward-deployed) team model with business stakeholders.
• Experience building production-grade, reliable AI applications

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