Note: The job is a remote job and is open to candidates in USA. A fast-growing enterprise AI company is seeking a Senior Forward Deployed Engineer to take technical ownership of strategic AI solution deployments for enterprise customers. The role focuses on architecting, building, deploying, and optimizing customer-specific Agentic AI and Knowledge AI applications while partnering with customers, Product, Platform Engineering, and cross-functional teams.
Responsibilities
- You will lead the architecture, prototyping, implementation, and post-deployment optimization of large-scale Agentic and Knowledge AI solutions
- The role involves working across enterprise data pipelines, multi-agent orchestration, RAG workflows, SLM fine-tuning, platform customization, full-stack delivery, and production-grade AI systems
- You will collaborate closely with customers, Product, Platform Engineering, and cross-functional teams to translate ambiguous business needs into scalable engineering plans and successful deployments
Skills
- 10+ years of engineering experience, including at least 2 years in customer-facing, field engineering, solutions engineering, or forward deployed engineering roles
- Proven experience building and deploying AI/ML, data-intensive, or enterprise-grade applications in production
- Strong full-stack development experience with Python, Node.js or Go, and React or Vue
- DevOps experience with Docker, Kubernetes, CI/CD, and modern cloud-based deployment practices
- Experience designing and implementing enterprise data pipelines and system integrations
- Strong knowledge of REST APIs, Python, SQL, GraphQL, Webhooks, and enterprise integration patterns
- Solid understanding of LLMs, prompt engineering, prompt tuning, vector databases, RAG pipelines, and agentic workflows
- Experience with vector databases such as AstraDB, Pinecone, or Weaviate
- Familiarity with RAG frameworks such as LlamaIndex or Haystack
- Experience with agent and workflow orchestration tools such as LangChain, LangGraph, or CrewAI
- Ability to lead technical solution design and implementation for strategic enterprise customers
- Experience customizing platform components, integrating APIs, building reusable tooling, or extending platform logic
- Strong understanding of observability, monitoring, versioning, telemetry, and trustworthy AI deployment practices
- Ability to translate ambiguous customer needs into clear, actionable engineering plans
- Strong project ownership, mentoring, communication, and collaboration skills across technical and business stakeholders
- Undergraduate degree, master s degree, or PhD in Computer Science, Data Science, or a related technical field
- Knowledge of SLM fine-tuning, model distillation, and model optimization techniques
- Experience building and delivering enterprise Agentic AI solutions
- Experience working with Agentic development platforms
- Familiarity with graph databases, multimodal AI systems, evaluation frameworks, security, guardrails, and GPU infrastructure trends
- Experience contributing to reusable assets, technical best practices, internal frameworks, and documentation
- Prior experience supporting post-deployment optimization and production adoption for enterprise customers
- Experience partnering with Product and Platform Engineering teams to identify feature gaps, customer pain points, and product improvement opportunities
Benefits
- Remote work
Company Overview
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