Senior Forward Deployed Engineer – Agentic AI / RAG

Asterism IT Solutions•Texas, TX

5d•Remote

About The Position

We are seeking a Senior Forward Deployed Engineer to take technical ownership of strategic enterprise AI deployments. This role combines hands-on software engineering, solution architecture, customer engagement, and delivery leadership, with a strong focus on Agentic AI, RAG, enterprise integrations, and production-grade AI systems. The ideal candidate will have extensive experience designing, building, deploying, and optimizing enterprise AI solutions while working directly with customers and technical stakeholders.

Requirements

10+ years of software/engineering experience
At least 2 years of customer-facing, field engineering, solutions engineering, or forward deployed engineering experience
Strong production experience building AI/ML, data-intensive, or enterprise applications
Strong Python development
Experience with Node.js or Go
Experience with React or Vue
Strong understanding of LLMs and Generative AI
Experience with RAG workflows
Experience with multi-agent orchestration / agentic workflows
Prompt engineering and prompt tuning
Experience with vector databases such as Pinecone, Weaviate, or AstraDB
Experience with LlamaIndex or Haystack
Experience with LangChain, LangGraph, or CrewAI
Strong Docker and Kubernetes experience
CI/CD and modern cloud deployment practices
REST APIs, GraphQL, Webhooks, SQL
Enterprise data pipelines and system integrations
Strong solution architecture and technical design skills
Experience with observability, monitoring, telemetry, and production systems
Excellent customer communication and stakeholder management skills
Bachelor's, Master's, or PhD in Computer Science, Data Science, or related technical field
Must currently reside in Texas
US Citizens only
Must be comfortable with up to 25% travel
Must be available for remote customer engagements
Strong customer-facing communication and presentation skills required

Nice To Haves

SLM fine-tuning
Model distillation and optimization
Enterprise Agentic AI implementations
Agentic development platforms
Graph databases
Multimodal AI
AI evaluation frameworks
AI security and guardrails
GPU infrastructure
Reusable AI frameworks and internal tooling
Post-deployment AI optimization
Experience partnering with Product and Platform Engineering teams

Responsibilities

Lead architecture, prototyping, implementation, and post-deployment optimization of enterprise AI solutions.
Design and implement Agentic AI and RAG-based applications.
Build and orchestrate multi-agent workflows using modern agent frameworks.
Develop production-grade AI applications using Python and modern full-stack technologies.
Design enterprise data pipelines, APIs, integrations, and knowledge systems.
Work with LLMs, prompt engineering, prompt tuning, vector databases, and RAG pipelines.
Deploy and operate solutions using Docker, Kubernetes, and CI/CD.
Develop integrations using REST APIs, GraphQL, Webhooks, SQL, and enterprise integration patterns.
Customize platform components, APIs, reusable tooling, and platform logic.
Partner directly with customers to understand ambiguous business requirements and translate them into actionable technical solutions.
Collaborate with Product, Platform Engineering, and cross-functional teams to address customer needs and product gaps.
Establish observability, monitoring, telemetry, versioning, and trustworthy AI practices.
Support production adoption, troubleshooting, optimization, and ongoing customer success.
Mentor engineers and contribute to reusable frameworks, best practices, and technical documentation.