Forward Deployed AI / Data Engineer

First Soft Solutions
Washington, DC, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Working hours
Regular working hours

Tech stack

AI Evaluation Application Programming Interfaces (APIs) Artificial Intelligence Airflow Amazon Web Services Automated Storage and Retrieval Systems User Authentication Microsoft Azure Cloud Computing Databases Continuous Integration Information Engineering
+24 more
Data Governance Extract Transform Load (ETL) Software Debugging Python (Programming Language) Machine Learning Software Deployment Software Engineering Systems Integration TypeScript Enterprise Data Management Retrieval-Augmented Generation Large Language Models Snowflake Apache Spark Generative AI Backend Agentic-AI Build Management Apache Kafka Restful APIs GPT Data Pipelines Human in the Loop Databricks

Job description

Title: Forward Deployed Engineer - Data Engineering & GenAI Location: Washington, DC Metro Area Work Model: Hybrid - expected in the office/customer sites 2-3 days per week Exp…

  • 29 days ago +

Requirements

Build and deploy applications, APIs, backend services, and data pipelines. Develop ETL/ELT workflows, data models, schema mappings, and bulk data-processing solutions. Build GenAI applications including LLM agents, RAG pipelines, tool-calling workflows, and AI automation. Integrate enterprise data, databases, APIs, cloud platforms, and AI models. Develop primarily in Python and, where needed, TypeScript. Troubleshoot application, API, infrastructure, integration, and data issues. Follow strong engineering practices for testing, CI/CD, monitoring, security, and documentation. Work directly with customers and senior stakeholders throughout discovery, implementation, and production deployment. Required Skills Strong hands-on software engineering experience. Strong Python development skills. Solid data engineering experience including ETL/ELT, data modeling, schema mapping, and pipelines. Experience designing and integrating REST APIs and backend services. Hands-on experience with LLMs / Generative AI. Experience with AI agents, RAG, tool calling, LLM applications, or AI workflow automation. Strong debugging, problem-solving, and communication skills. Ability to independently turn ambiguous requirements into working solutions. U.S. Citizenship required. Must be based in or willing to work in the Washington, DC metro area. Hybrid availability with 2 3 days per week onsite/customer-site presence. Preferred Background as a Forward Deployed Engineer, Solutions Engineer/Architect, Technical Consultant, or customer-facing Software/Data Engineer. Federal government, defense, intelligence, national security, or mission-critical experience. AWS, Azure, or GCP experience. Experience with technologies such as Snowflake, Databricks, Spark, Kafka, Airflow, or dbt. Experience with vector databases, embeddings, retrieval systems, and LLM frameworks. Experience deploying AI applications to production. Familiarity with AI evaluation, human-in-the-loop workflows, enterprise security, authentication, authorization, and data governance.

About the company

  • Washington DC Mid-Level Forward Deployed Engineer Washington, D.C. Metro Area / Huntsville, AL Competitive Compensation + Benefits + Mission-Driven Work Our client is looking for a Mid-Level…

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