Senior AI Developer
1 hour ago
Our client is building a bespoke AI platform, an internal "toolbox" that fits their company like a tailored suit. Its purpose: to turn real business use cases into secure, reliable, and scalable AI solutions that boost effectiveness and efficiency across teams. Starting with generative AI (chatbots, agents, and copilots) and evolving into machine learning and data science, they will grow this capability into a product-minded platform that empowers every employee.
Role Overview
You will be the first senior hire shaping our AI platform end-to-end. Working closely with business stakeholders, you'll design and ship impactful generative-AI solutions and lay the technical foundations for a scalable, secure, and maintainable platform. As a senior individual contributor, you bring strong ownership and drive, contribute ideas, and help define the strategy and roadmap, without a heavy mentoring overhead at the outset. Over time, you'll help us expand the team and establish best practices.
What you'll do
- Lead the design and development of AI features (chatbots, agents, RAG pipelines, copilots) from discovery to production.
- Build high-quality React frontends and Python backends that integrate with our internal systems.
- Implement robust MLOps/LLMOps on Azure (CI/CD, observability, evaluation, safety/guardrails, cost controls).
- Architect reusable platform components: prompt/orchestration layers, vector search, data pipelines, feature stores, model registries.
- Translate business problems into technical designs; run lean experiments and iterate quickly with stakeholders.
- Establish engineering standards (coding, testing, security, documentation) using GitHub and DevOps practices.
- Ensure data privacy, governance, and compliance in all AI solutions.
- Measure outcomes (quality, latency, adoption, ROI) and iteratively improve.
Required skills & experience
- 5-8+ years of software engineering, with recent focus on AI/ML or LLM-based products.
- Expert in Python (APIs, data processing, async, testing) and React (modern hooks, state management, performance).
- Proven delivery of generative-AI applications (LLM orchestration, prompt design, evaluation, retrieval/RAG, tool/agent patterns).
- Hands-on with Microsoft Azure (App Services/AKS/Functions, Azure OpenAI or equivalents, Azure Storage, Key Vault, Monitor).
- Strong CI/CD using GitHub (Actions), Infrastructure-as-Code, and DevOps practices.
- Solid understanding of data and systems design (APIs, events/queues, microservices, caching, observability).
- Pragmatic product mindset: ability to scope MVPs, validate value fast, and communicate clearly with non-technical partners.
- Security-first approach (authN/Z, secrets, data protection, safe-use policies for AI).
Nice to have
- Experience with LLM frameworks (LangChain, Semantic Kernel), vector databases (Chroma, Pinecone, FAISS), and evaluation tooling.
- Classic ML/DS experience (feature engineering, model training/serving, monitoring).
- Prompt/guardrail techniques, content moderation, and bias/robustness testing.
- Event-driven architectures (Kafka/Service Bus), GraphQL, or WebSockets for real-time UX.
- Analytics/telemetry to measure product impact.
What we offer
- Greenfield ownership to shape the AI platform and its strategy from day one.
- A flexible path forward with space for your ideas and initiative.
- The opportunity to bootstrap and later help build a high-impact team.
- Modern stack on Azure with strong executive backing and real business demand.
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