Forward Deployed Software / AI Engineer (FDSE / FDAE) – Mid-Level (5+ Years Experience)

As a Forward Deployed Software / AI Engineer (FDSE / FDAE), you’ll embed directly with customers to design, build, and deploy AI-native systems that solve real-world challenges. With ~5 years of experience, you’re a hands-on engineer who thrives in ambiguity — turning unclear workflows into production-ready GenAI solutions.

Key Responsibilities

- Partner with stakeholders to uncover problems and translate them into technical solutions.

- Build and deploy GenAI systems: LLMs, prompt engineering, RAG pipelines, LangChain/LlamaIndex orchestration, and vector databases.

- Engineer production-grade APIs, data pipelines, and UI workflows.

- Operate in cloud-native environments (AWS, Azure, GCP) using Docker, Kubernetes, and CI/CD.

- Contribute to QE and release processes to ensure reliable, observable, and secure deployments.

Required Skills & Experience

- Software Engineering: 5+ years in professional development (Python, Java, Go, or similar).

- GenAI (Mandatory): Practical experience with LLMs, embeddings, RAG, vector DBs (Pinecone, Weaviate, FAISS), and orchestration frameworks (LangChain, Semantic Kernel, DSPy).

- Cloud & Infrastructure: Strong proficiency in at least one major cloud (AWS, Azure, GCP); CI/CD pipeline development; containerization with Docker/Kubernetes.

- Data: SQL/NoSQL expertise; integration of diverse data sources; pipeline design.

- Product Mindset: Ability to scope MVPs, prioritize trade-offs, and align features with mission impact.

Desired Skills

- Fine-tuning and deploying LLMs with SageMaker, Vertex AI, or Azure ML.

- Front-end development for GenAI UIs (React, Next.js).

- Familiarity with data security, governance, and compliance for AI.

- Exposure to release engineering workflows (blue/green deployments, GitOps, Terraform).

- Experience in regulated industries (healthcare, finance, government).