As a Forward Deployed Software Engineer, you will lead delivery of solutions for enterprise customers, tackle customer challenges, and improve adoption of AI products through engineering support.
Responsibilities
- Own the full end-to-end delivery of high-impact solutions for our most strategic partners
- Efficiently resolve urgent technical customer support tickets; ensure proactive and timely communication with key client stakeholders
- Drive innovation through coding and implementation in order solve complex problems
- Collaborate cross-functionally with product and engineering teams to influence priorities and shape product roadmap
- Build and maintain internal documentation, playbooks, and enablement content
- Actively partner with customers to define success metrics, KPIs, and adoption strategies aligned to their goals; track progress against metrics
- Represent the voice of the customer internally, and provide actionable feedback to influence product direction and feature development
- Monitor usage, adoption, and engagement metrics to proactively address risks and ensure long-term retention
- Maintain awareness of industry best practices for data maintenance handling as it relates to your role
- Adhere to policies, guidelines and procedures pertaining to the protection of information assets
- Report actual or suspected security and/or policy violations/breaches to an appropriate authority
Requirements
- Bachelor’s degree in computer science, mathematics, engineering, physics, or a related technical field
- 1+ years of software engineering experience
- Prior professional experience supporting technical customers and iterating solutions in real time
- Strong engineering background with proficiency in programming languages such as Python, Javascript/Typescript, or similar, and a deep understanding of software architecture and API integrations
- Excellent verbal and written communication skills and exceptional attention to detail, with experience engaging both business and technical audiences
- Ability to juggle multiple priorities in a fast-paced environment
Similar Jobs
.png)
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Software • Biotech
Design, build, test, deploy, and support AI-enabled software and ML services (including LLMs, RAG, and Generative AI). Integrate models, build APIs and CI/CD, troubleshoot production issues, collaborate cross-functionally, and ensure secure, compliant software in regulated healthcare environments.
Top Skills:
Amazon BedrockAWSAzureAzure OpenaiC#C++Ci/CdContainersDatabasesGCPGenerative AiHugging FaceJavaJavaScriptLangchainLlmsMicroservicesOpenai ApiPythonPyTorchRagRest ApisScikit-LearnSource ControlTensorFlowTypescript
Information Technology • Utilities • Big Data Analytics
Lead architecture and delivery of enterprise AI data platform transformations. Design and implement scalable lakehouse, streaming, and real-time analytics solutions. Lead migrations from Databricks/Snowflake/Azure/AWS to Oracle AI Data Platform, optimize Spark workloads, build reusable accelerators, drive AI/ML data pipelines and governance, advise executives, influence product roadmap, and mentor senior engineers globally.
Top Skills:
SparkAWSAzureCi/CdDatabricksDataopsDelta LakeInfrastructure As CodeJavaKafkaLlmsMlopsOciOracle Ai Data PlatformPythonRetrieval-Augmented GenerationScalaSnowflakeSQLVector Databases
Artificial Intelligence • Information Technology • Machine Learning • Professional Services • Software • Analytics • Consulting
Lead end-to-end AI solutions as a forward-deployed engineer: scope, design, and deploy ML/LLM systems; partner with clients and stakeholders; build infrastructure, data pipelines, and reusable platform components; mentor engineers; own projects from discovery through production and provide on-call support.
Top Skills:
AWSDelta (Delta Lake)DockerETLFastapiGCPHugging FaceKafkaKubernetesLangchainOpenaiPineconePub/Sub SystemsPythonSchema GovernanceUnity CatalogWorkflow Orchestration
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
