Job Requirements

AI Forward Deployed Engineer (FDE)

Experience: 5-8 Years

Location: India (Hybrid)

Role Summary

We are looking for an AI Forward Deployed Engineer to design, build, and deploy AI-powered business applications leveraging Generative AI, Large Language Models (LLMs), and modern cloud-native technologies. The ideal candidate will work closely with customers, architects, and business stakeholders to rapidly develop production-grade AI solutions and accelerate business value realization.

Must-Have Skills

· Strong Python development experience with contemporary web frameworks.

· Experience building REST APIs and microservices using FastAPI.

· Hands-on experience with Generative AI and LLMs such as OpenAI, Azure OpenAI, Claude, and Llama.

· Experience with AI orchestration frameworks including LangChain and LangGraph.

· Full-stack application development experience.

· Azure cloud deployment and application hosting.

· Security implementation using OAuth, SAML, JWT, and Azure AD.

· CI/CD implementation using Azure DevOps, GitHub Actions, Docker, and related DevOps practices.

· Strong debugging, performance optimization, and code review skills.

Key Responsibilities

· Build and deploy end-to-end AI-enabled applications and intelligent workflows.

· Develop scalable APIs, microservices, and web applications using Python and FastAPI.

· Integrate LLMs, AI/ML models, and Generative AI capabilities into enterprise applications.





· Collaborate with customers and business stakeholders to translate use cases into production solutions.

· Design secure, scalable, and cloud-native architectures on Azure.

· Implement automated build, release, and deployment pipelines.

· Perform testing, troubleshooting, code reviews, and application optimization.

· Work closely with architects, product teams, and DevOps engineers to ensure successful delivery.

Good to Have

· Experience with RAG, AI Agents, and Agentic AI architectures.

· Exposure to vector databases and semantic search.

· Knowledge of MLOps and model lifecycle management.

· Exposure to ERP integrations, particularly Oracle Fusion Cloud and SAP S/4HANA.

· Experience working in customer-facing consulting, solutioning, or pre-sales environments.

· Ability to engage with business stakeholders, conduct discovery workshops, gather requirements, and translate business challenges into AI-driven solutions.

· Experience working in cross-functional teams spanning business, engineering, architecture, and delivery functions.

Ideal Profile A hands-on AI engineer who can engage directly with customers, rapidly prototype and deploy AI solutions, and drive them into production. The candidate should be comfortable operating at the intersection of business and technology, acting as a bridge between stakeholders, architects, and engineering teams while delivering measurable business outcomes through Generative AI and cloud-native solutions.

📌 AI Forward Deployed Engineer (FDE) (Pune)
🏢 Xoriant
📍 Pune