Overview
We are seeking a Lead Software Engineer with deep expertise in full stack development , Generative AI , and DevSecOps practices . This is a hands-on leadership role at the forefront of building AI-native products that combine robust engineering with cutting-edge generative capabilities.
You will drive the architecture, development, and deployment of secure, scalable applications infused with AI — from LLM-powered experiences and intelligent agents to automated workflows and decisioning systems . Beyond technical execution, you will embed shift-left quality and security , mentor engineers, and set the direction for how Generative AI shapes our product strategy.
Key Responsibilities
- Generative AI Engineering
Design and build LLM-powered applications (retrieval-augmented generation, multi-agent systems, generative search, AI copilots).
Implement prompt engineering, fine-tuning, and evaluation frameworks for production-grade reliability.Optimize AI inference at scale (latency, cost efficiency, guardrails).Ensure responsible AI use (bias detection, explainability, data privacy).Full Stack DevelopmentArchitect and deliver end-to-end features across frontend (React / Next.js) , backend (Node.js / Python / Java) , and cloud-native infrastructure .
Build secure APIs, data pipelines, and real-time services that power AI-driven user experiences.DevSecOps & Shift-Left PracticesEmbed security and testing early in the development lifecycle.
Own CI / CD pipelines with automated testing, vulnerability scanning, and compliance guardrails.Implement Infrastructure as Code (IaC) and observability for resilience and scalability.Leadership & CollaborationMentor engineers on AI software engineering best practices.
Collaborate with product managers and data scientists to translate business problems into AI-first solutions .Drive technical decision-making, balancing innovation speed with long-term system sustainability.Qualifications
Must-Have :7+ years of professional software engineering experienceStrong full stack development skills (React / Next.js, Node.js, Python, Java, etc.)Proven experience delivering Generative AI applications into production, including :o LLM integration ( OpenAI , Anthropic, Llama, etc.)RAG pipelines (vector databases, embeddings, semantic search)Fine-tuning and evaluation of modelsSafety / guardrail implementationSolid knowledge of DevSecOps and shift-left practices (automated testing, SAST / DAST, IaC, CI / CD).Hands-on experience with cloud-native platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes) and infrastructure provisioning.Strong foundation in software architecture and distributed systems .Nice-to-Have :Experience with multi-agent architectures or autonomous AI workflows.Familiarity with AI evaluation frameworks (LangSmith, Weights & Biases, MLflow).Contributions to open-source AI / ML or developer tooling.Startup or high-growth environment experience.#J-18808-Ljbffr
