Senior Forward Deployed Engineer
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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.
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.