AWSAzureCloudDockerGoogle Cloud PlatformJavaJavaScriptKubernetesPythonPyTorchTypeScriptC++CAIMLLLMLarge Language ModelsRAGLangChainAgenticHugging FaceData EngineeringGCPGoogle Cloud
About this role
Role Overview
Operationalizing AI PoCs by transforming demos and prototypes into robust, production-grade AI systems.
Designing and deploying data pipelines and retrieval frameworks that prepare enterprise data for LLM training, fine-tuning, and RAG-based applications.
Fine-tuning, evaluating, and deploying large language models and agentic workflows, ensuring outputs remain grounded, explainable, and compliant.
Integrating SeekrFlow AI agents with customer environments, containerizing and orchestrating them across cloud, hybrid, and on-prem deployments (AWS, Azure, GCP, private cloud).
Embedding with client engineering teams to debug model behavior, optimize inference performance, and implement monitoring/guardrails for safe operation.
Codifying best practices into reusable playbooks, evaluation frameworks, and deployment accelerators that scale AI adoption across industries.
Requirements
Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or Data Science (advanced degree a plus).
6+ years of professional experience in software engineering, data engineering, or applied ML, with a track record of building and deploying production systems.
Hands-on expertise with AI/ML and LLM frameworks (e.g., PyTorch, Hugging Face, LangChain, vLLM), including model fine-tuning and agent deployment.
Proven experience designing, deploying, and maintaining production-grade systems that meet enterprise security, compliance, and performance standards.
Strong background in on-premise, private cloud, and multi-cloud environments (AWS, Azure, GCP), including experience with containerization and orchestration (Docker, Kubernetes).
Proficiency in at least one modern programming language (Python, Java, C++, TypeScript/JavaScript, or similar), with the ability to learn and adapt quickly.
Ability to work directly with client stakeholders — technical teams, business leaders, and end users — to translate needs into deployed solutions.
Willingness to travel 25–75%, depending on client and team needs.
Tech Stack
AWS
Azure
Cloud
Docker
Google Cloud Platform
Java
JavaScript
Kubernetes
Python
PyTorch
TypeScript
Benefits
Meaningful Mission & Impact
Work with a deeply talented, collaborative team solving some of the toughest AI challenges that matter.
Equity Ownership – RSUs that let you share directly in Seekr’s long‑term success and growth.
Time Off That Respects Real Life – Unlimited PTO plus 14 paid company holidays to truly recharge.
Work Your Way – A flexible hybrid work environment with offices in Reston, VA and Austin, TX, plus remote options and flexible working hours.
Competitive Total Rewards – A role‑appropriate compensation structure that supports long‑term growth, including base salary, bonuses, or commission plans depending on role.
401(k) with Company Match – Build your future with a retirement plan that includes employer matching.
Comprehensive Health & Wellness – Medical, dental, vision, and life insurance coverage starting day one—for you and your family.
Parental Leave – Paid parental leave to support employees as they welcome a new child through birth, adoption, or foster placement.