Lead Fullstack Forward Deployed Engineer

B Capital; Dallas (TX); On-site; USD 180,000 - 220,000; Full time

Benefits offered by this job

Collaborative and supportive work environment

Flexible working hours

Competitive compensation

Surrounding by top talent from leading companies

Job summary

B Capital is seeking a Forward Deployed Engineer (FDE) to work with Generative AI deployments in Dallas, Texas. This hands-on role focuses on designing, building, and deploying intelligent applications, where you'll partner with customers to solve high-impact problems with technologies like Python and Langchain.

The ideal candidate will have 5-8 years of experience in software engineering. Key responsibilities include leading end-to-end GenAI deployments and collaborating closely with product and engineering teams.

Qualifications

• 5–8+ years of experience in software engineering or solutions engineering.
• Proven expertise in Python, Langchain, LangGraph, and SQL.
• Experience with cloud services such as AWS, GCP, and/or Azure.
• Strong communication skills to translate technical complexity to customers.

Responsibilities

• Lead the deployment of GenAI applications for customers.
• Architect and implement scalable solutions using Python and LLM frameworks.
• Act as a trusted technical advisor to customers.

Skills

Python

Langchain

LangGraph

SQL

Cloud services (AWS, GCP, Azure)

APIs

Microservices

Event-driven systems

CI/CD

Docker

Kubernetes

Education

Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related field

Job description

About the Role

We’re seeking a highly skilled and motivated Forward Deployed Engineer (FDE) to work at the cutting edge of Generative AI deployments. In this role, you’ll partner directly with customers to design, build, and deploy intelligent applications using Python, Langchain/LangGraph, and large language models. You’ll bridge engineering excellence with customer empathy to solve high-impact real-world problems.

This is a hands‑on engineering role embedded within customer projects—ideal for engineers who enjoy ownership, love solving hard problems, and thrive in dynamic, technical environments.

Key Responsibilities

• Lead the end-to-end deployment of GenAI applications for customers—from discovery to delivery.
• Architect and implement robust, scalable solutions using Python, Langchain/LangGraph, and LLM frameworks.
• Act as a trusted technical advisor to customers, understanding their needs and crafting tailored AI solutions.
• Collaborate closely with product, ML, and engineering teams to influence roadmap and core platform capabilities.
• Write clean, maintainable code and build reusable modules to streamline future deployments.
• Operate across cloud platforms (AWS, Azure, GCP) to ensure secure, performant infrastructure.
• Continuously improve deployment tools, pipelines, and methodologies to reduce time-to-value.

Required Qualifications

• 5–8+ years of experience in software engineering or solutions engineering, ideally in a customer‑facing capacity.
• Proven expertise in Python, Langchain, LangGraph, and SQL.
• Deep experience with engineering architecture, including APIs, microservices, and event‑driven systems.
• Demonstrated success in designing and deploying GenAI applications into production environments.
• Strong proficiency with cloud services such as AWS, GCP, and/or Azure.
• Excellent communication skills, with the ability to translate technical complexity to customer‑facing narratives.
• Comfortable working autonomously and managing multiple deployment tracks in parallel.

Preferred Qualifications

• Familiarity with CI/CD, infrastructure‑as‑code (Terraform, Pulumi), and container orchestration (Docker, Kubernetes).
• Background in LLM fine‑tuning, retrieval‑augmented generation (RAG), or AI/ML operations.
• Previous experience in a startup, consulting, or fast‑paced customer‑obsessed environment.

Education

• Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field.

Salary Range: 180-220k

Advantages of joining Turing

• Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
• Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
• Competitive compensation
• Flexible working hours

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

For applicants from the European Union, please review Turing's GDPR notice here.