Senior AI Engineer

We are searching for an AI Product expert who can take ownership of a SaaS product and work with frontend and backend engineers to release world class AI product offerings. This is a hands-on leader with coding experience and with deep experience in AI technologies, GPUs, Multi-agent frameworks, AI models and knows a lot about inference, finetuning, agents, optimization quantization etc.

Salary Depends On Experience And Current Verifiable (paychecks) Compensation.

Location Northern Virginia

Summary Of The Role

We're looking for a Senior AI Product Manager / Engineer to design and build end-to-end AI systems - from model deployment and optimization to autonomous agent orchestration. This is not a research-only role. You'll operate at the intersection of:

• LLMs & multimodal models
• agent frameworks and workflow orchestration
• production-grade infrastructure
  
  

You will help define how intelligent systems are built, deployed,] and scaled in real-world environments.

What You'll Work On

• Design and implement autonomous AI agents capable of multi-step reasoning, tool use, and workflow execution
• Build agent orchestration systems (memory, planning, tool calling, state management)
• Deploy and serve models (LLMs, vision, multimodal) in production environments
• Optimize models via: fine-tuning (LoRA, full fine-tune), quantization (INT8, 4-bit, GGUF, etc.), distillation and performance tuning
• Develop multi-model pipelines (generation retrieval tools agents)
• Integrate external tools/APIs into agent workflows
• Build evaluation systems for: reasoning quality, hallucination detection, task success rates
  
  

Core Responsibilities

AI / ML Systems

• Architect and implement end-to-end AI pipelines
• Work with open-source and proprietary models (LLMs, diffusion, etc.)
• Implement RAG systems, embeddings, and vector search
• Design prompting system instruction strategies
• Improve latency, throughput, and cost efficiency
  
  

Infrastructure & Deployment

• Deploy models using modern stacks (containers, GPUs, serverless where applicable)
• Build scalable inference systems
• Manage model versioning, monitoring, and rollback strategies
• Work with distributed systems and async processing pipelines
  
  

Agent & Workflow Engineering

• Build custom agent frameworks or extend existing ones
• Implement: planning/reasoning loops, tool usage, memory (short-term long-term)
• Design reusable workflows for real-world use cases
  
  

Software Engineering Excellence

• Write clean, maintainable, production-grade code (Python primarily)
• Design APIs and services for internal and external use
• Collaborate with product and design to ship user-facing features
  
  

Process & Engineering Rigor

• Write clear technical requirements (PRDs / tech specs)
• Produce and maintain technical documentation
• Conduct code reviews and enforce engineering standards
• Define evaluation metrics and testing strategies for AI systems
• Participate in architecture discussions and system design
  
  

Requirements

Must-Have

• 3-5 years in software engineering, with a strong focus on AI/ML systems
• Hands-on experience with LLMs and/or multimodal models
• Experience building or working with AI agents or multi-step workflows
• Strong Python skills and familiarity with ML frameworks (PyTorch, etc.)
• Experience with: model deployment (Docker, cloud, GPU infra), fine-tuning, and/or quantization
• Solid understanding of: prompt engineering, RAG architectures, embeddings vector databases
  
  

Nice-to-Have

• Experience with frameworks like LangGraph, LangChain, LlamaIndex, or custom agent systems
• Familiarity with model serving tools (vLLM, TensorRT, ONNX, etc.)
• Experience with distributed systems and high-scale APIs
• Background in performance optimization/systems engineering
• Contributions to open-source AI projects
  
  

What We Value

• Builders who ship, not just experiment
• Strong systems thinking (not just model-level thinking)
• Ability to move between research ideas production systems
• Clear communication and documentation habits
• Ownership mindset and product intuition
  
  

Why This Role

• Work on cutting-edge agent systems, not just wrappers
• High ownership and ability to shape architecture
• Build a full-stack AI platform, not a narrow feature
• Fast-moving environment with real-world impact