Senior Forward Deployed Engineer

Uniphore is one of the largest B2B AI-native companies—decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments.      Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data.      As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees.

About the Role   As a  Senior Forward Deployed Engineer (Sr. FDE)  at  Uniphore , you will take technical ownership of strategic AI solution deployments and  lead  the architecture, prototyping, and delivery of customer-specific applications on our Agentic AI platform. This role demands a deep technical skillset, sharp solution thinking, and the ability to guide both customers and internal teams through complex, high-stakes AI projects.   You're  not just coding -  you're  solving some of the most exciting challenges and problem solving in enterprise AI rollout, spanning enterprise data pipelines, multi-agent orchestration/ workflows  and RAG/SLM finetuning.

Lead the   technical solution design   and implementation of large-scale Agentic and Knowledge AI solutions for key enterprise clients.   Act as the primary technical point of contact during solution development and post-deployment optimization.   Own and execute projects end-to-end: from integration design to agent workflows and full-stack delivery.   Customize platform components as needed—integrating new APIs, building reusable tooling, or extending platform logic.   Collaborate closely   with cross-functional   teams internally   and with customers to ensure solution success.   Provide structured feedback to Platform Engineering and Product on feature gaps and customer pain points.   Contribute to technical best practices and accelerate solution delivery through reusable assets, frameworks, and documentation.   Champion observability, monitoring,  versioning  and telemetry to ensure trustworthy and auditable AI agents.   Stay current   on RAG, LLM/SLM   advancements, Agentic AI   tooling, vector/graph databases,   retrieval optimizations,   multi-modal systems,   evaluation frameworks, GPU/Infra trends, fine tuning techniques, security/ guardrails  and broader   landscape of Enterprise &   Agentic AI.

Undergraduate, master’s degree or  Phd  in Computer Science or Data Science   4+ years of experience in engineering, with 2+ years in customer-facing or field roles.   Proven success building and deploying AI/ML or data-intensive applications in production.   Deep full-stack development skills (Python, Node.js/Go, React/Vue) and DevOps experience (Docker, K8s, CI/CD).   Expertise  in building data pipelines and integrating with enterprise systems (REST, Python, SQL,  GraphQL , Webhooks  etc ).   Solid understanding   of LLMs, Prompt engineering/tuning, Vector   DBs ( AstraDB , Pinecone,  Weaviate   etc ), RAG pipelines ( LlamaIndex , Haystack) and Agent/Workflow Orchestration ( LangChain ,  LangGraph ,  CrewAI )   Knowledge of SLM Finetuning and Distillation is  big  advantage.   Experience and knowledge of Agentic development platforms and experience building and  delivery  enterprise agentic solutions is a huge advantage.   Ability to translate ambiguous customer needs into actionable engineering