Forward Deployed Engineer
Midasis Technologies Llc
Dallas, TX, United States
26 days ago
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Role details
Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Compensation
$124,800.0 - $145,600.0
Working hours
Regular working hours
Job source
Tech stack
Computer Programming
Python (Programming Language)
Microsoft Copilot
Standard Sql
SQL Databases
Large Language Models
Programming Languages
Job description
- 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
Requirements
- 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
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