Senior Forward Deployed Engineer

About the Role

Responsibilities

• 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.

Qualifications

• Undergraduate, master’s degree or Phd in Computer Science or Data Science
• 6–10+ 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 plans.
• Strong leadership, mentoring, and project ownership abilities.
• Excellent communication and collaboration across technical and business stakeholders.
• Location preference:
• Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics. For more information on how Uniphore uses AI to unify—and humanize—every enterprise experience, please visit www.uniphore.com.