What does a Forward Deployed Engineer do at Midasis Technologies?

Forward Deployed Engineers at Midasis Technologies are embedded directly with enterprise customers to implement and customize the platform, build integrations, and solve technical problems in real-world client environments. They combine software engineering skills with direct customer interaction, writing production code while also serving as the primary technical point of contact.

What skills are required for this Forward Deployed Engineer role?

The Forward Deployed Engineer role at Midasis Technologies typically requires strong software engineering skills (Python, TypeScript, SQL), experience with APIs and system integration, comfort with cloud platforms, and the ability to communicate complex technical topics to non-technical stakeholders. Most FDE roles require 3-7 years of engineering experience.

Is this Forward Deployed Engineer position at Midasis Technologies remote?

Remote availability varies by Midasis Technologies FDE role. Some positions are fully remote, others require travel to customer sites, and some are hybrid. Check the full job description above for the specific location requirements for this posting.

Midasis Technologies

Forward Deployed Engineer

$125K - $146K Remote Dallas, TX, US Mid Posted October 14, 2026

Apply on Indeed All FDE Jobs

Role Description

We're looking for a Forward Deployed Engineer who can work directly at the intersection of technology and business — embedding with stakeholders, understanding their real-world problems, and translating ambiguous requirements into working solutions. This is a hands-on, client-facing engineering role where technical depth meets strong communication and business acumen.

What You'll Do

Work directly with stakeholders and end clients to gather, interpret, and refine requirements — often starting from ambiguous or loosely defined problems
Translate business needs into technical solutions quickly, iterating in close collaboration with the client
Build, prototype, and deploy solutions using Python and SQL to solve real operational and analytical problems
Apply modern AI tools (LLM-based copilots, agentic frameworks, prompt-driven automation, etc.) to accelerate development and enhance solution capabilities
Troubleshoot issues on the ground, think critically under pressure, and drive problems to resolution independently
Clearly communicate technical concepts, trade-offs, and progress to both technical and non-technical stakeholders
Act as the technical face of the team in front of clients — building trust through clarity, responsiveness, and follow-through

What We're Looking For

Requirement comprehension: Ability to quickly grasp what stakeholders actually need, even when it isn't clearly articulated, and turn it into an actionable plan
Stakeholder engagement: Comfortable working directly with clients/business stakeholders, not just through intermediaries
Communication: Strong verbal and written communication with clear, confident articulation of ideas and technical topics
Problem-solving: Strong analytical and troubleshooting skills; able to break down complex or unclear problems into solvable pieces
Programming: Proficiency in at least one programming language, Python strongly preferred
SQL: Solid, hands-on SQL skills — writing, optimizing, and reasoning about queries against real datasets
AI tooling: Practical, hands-on experience with at least one modern AI tool (e.g., Copilot-style coding assistants, LLM APIs, agentic tools, or similar)

Nice to Have

Prior experience in a client-facing or consulting-style engineering role
Experience working in fast-paced, ambiguous environments with shifting priorities

Pay: $60.00 - $70.00 per hour

Expected hours: 8.0 per week

Work Location: Hybrid remote in Dallas, TX 75244

About Forward Deployed Engineering

Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.

Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.

Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.