Forward Deployment Engineer

Job Title:Forward Deployment Engineer

Duration: 5 Months

Work Location:Austin TX 78701 USA

Job Type: Temporary Assignment

Work Type: Onsite

Pay Rate: $70.00 - $70.00/Hr

Overview:

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide

Job Description:

• Build and ship AI agents and automation harnesses as a core deliverable not a side experiment using tool use/function calling, multi-turn context management, and agentic design patterns (MCP, LangChain-style frameworks)
• Use Claude, Cursor, and Codex as your primary development environment daily build with AI, not around it, across every layer you touch
• Evaluate and correct non-deterministic model output as a first-class engineering discipline know what the AI wrote, where you overrode or discarded it, and what would have shipped broken if trusted blindly
• Take a problem from rough idea to deployed, working software with minimal handoffs writing code, shaping UX, and wiring data pipelines yourself, accelerated by AI tooling throughout
• Design agent s and internal AI-assisted workflows that other engineers on the team rely on and build from
• Move across frontend, backend, data engineering, and infra within the same sprint, using AI tools to compress the time each layer normally takes
• Design and maintain data pipelines and analytical surfaces on Databricks and AWS that non-engineers can actually use
• Work directly with product managers and stakeholderspush back on scope, propose better (often AI-driven) solutions, and make pragmatic trade-offs without waiting to be told
• Own architectural decisions for your product area, including when an agent/LLM-based approach is the right call versus deterministic code
• Leave the codebase simpler than you found itknow when to abstract, inline, or simplify rather than add
• Deploy, debug, and operate confidently in AWS without breaking production
• Deliver outcomes that would take a conventional team 5–10x longer
• The agentic/AI-native workflow itself is the reason for that multiplier, not just raw coding speed

Key Responsibilities:

• AI Tooling: Claude, Cursor, Codex; LLM APIs (Anthropic, OpenAI);
• prompting, tool use, agent patterns, MCP - Frontend:
• React, TypeScript - Backend: Python or Node.js, REST/GraphQL APIs,
• event-driven service design -
• Data Engineering Databricks: (PySpark, Delta Lake, notebooks, workflows) -
• Cloud/Infra: AWS (S3, Lambda, Glue, Redshift),
• Infrastructure-as-Code (plus) -
• BI/Visualization: Streamlit, Tableau, Evidence (nice to have)

Skills Required:

• React - Category:
• Technical - Category/Process: Scripting Language - Layer
• Sub Domain: presentation layer
• Web Development
• Javascript Framework
• Web Development, AWS
• Python, Large Language Model (LLM)
• Claude
• Family / Domain: AIA_NEW

TekWissen® Group is an equal opportunity employer supporting workforce diversity.