Forward Deployed Engineer

Posted about 2 months agoViewed
United StatesFull-TimeSoftware Development
Company:Nexxa.AI
Location:United States
Languages:English
Seniority level:Senior, 5-10+ years
Experience:5-10+ years
Skills:
AWSDockerLeadershipPythonCloud ComputingGCPJavascriptKubernetesMachine LearningTypeScriptAzureGoCommunication SkillsProblem SolvingMentoringSoftware Engineering
Requirements:
5–10+ years in engineering roles such as Forward Deployed Engineer, ML Engineer, Software Engineer, Solutions Engineer, Technical Consultant, or similar. Strong proficiency in Python, JavaScript/TypeScript, Go, or similar production-oriented languages. Hands-on experience with Machine Learning, including training, fine-tuning, evaluating, or deploying models. Direct experience with Generative AI (LLMs, multimodal models) and applying them to real-world problems. Exposure to Computer Vision techniques (detection, segmentation, OCR, embeddings, multimodal pipelines). Strong knowledge of ML frameworks (PyTorch, TensorFlow, OpenCV, etc.). Experience with cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes). Excellent communication skills with both technical and non-technical audiences. Comfort leading customer-facing engagements and guiding stakeholders through ambiguity. Willingness and ability to travel frequently.
Responsibilities:
Engage directly with enterprise and strategic customers to understand their workflows, data, and technical requirements. Architect, build, and deploy custom solutions leveraging GenAI, LLMs, Machine Learning and Vision models, and customer data sources. Lead full project lifecycles: scoping, solution design, development, implementation, testing, deployment, and iteration. Integrate and optimize AI/ML pipelines, including data preprocessing, prompt engineering, model selection, and evaluation. Build reliable, scalable software integrations using APIs, cloud services, and containerized systems. Troubleshoot complex technical issues across the stack—applications, models, data pipelines, infrastructure, and integrations. Act as the customer’s trusted technical advisor, enabling adoption of new product capabilities and AI features. Partner closely with internal product and engineering teams to communicate customer feedback and shape roadmap direction. Produce high-quality documentation, architecture diagrams, runbooks, and technical assets for customer teams. Mentor junior engineers and contribute to internal best practices for FDE delivery.
About the Company
Nexxa.AI
View Company Profile
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