[Hiring] Lead I - Software Engineering @TekWissen

Role Description

What You'll Do:

• Embed with internal teams and external customers to understand their workflows, pain points, and goals — then design and deploy solutions that fit.
• Build production-quality code, integrations, and automations across AI/GenAI, data, and software platforms to solve concrete business problems.
• Prototype rapid prototypes and proofs-of-concept, iterate based on direct user feedback, and move them into reliable, scalable production.
• Integrate data pipelines, APIs, and third-party systems, handling the real-world messiness of enterprise environments.
• Partner with end users and stakeholders — running demos, gathering requirements, troubleshooting live, and translating technical concepts into business value.
• Feed recurring pain points and friction back to product and engineering teams to influence the core roadmap.
• Monitor and improve solutions for reliability, performance, and adoption after launch — you own outcomes, not just deliverables.
• Establish the playbooks, standards, and tooling for the FDE function, and mentor junior engineers as the team grows.

Qualifications

• 8+ years building and shipping software in production, including significant time owning complex, ambiguous projects end-to-end with minimal supervision.
• Deep, hands-on programming expertise (e.g., Python, JavaScript/TypeScript, Java, or Go), strong system design judgment, and fluency working across the full stack and with APIs.
• Proven experience with data tools (SQL, pipelines, warehouses such as Snowflake/Databricks) and/or AI/GenAI tooling (LLMs, RAG, agentic workflows).
• A track record of customer-facing or forward-deployed work — you've shipped solutions directly with end users, navigated enterprise complexity, and earned the trust of senior stakeholders.
• Exceptional written and verbal communication; you translate fluidly between deep technical detail and executive-level business value.
• You've led projects, set technical direction, and raised the bar for those around you — formally or informally.
• Bias for action: You ship, learn, and iterate.

Requirements

• Experience deploying AI/ML or LLM-based solutions in an enterprise setting.
• Cloud experience (AWS, GCP, or Azure) and familiarity with CI/CD and containerization.
• Experience as a founding or early member of a new team or function.
• Telecommunications or large-scale enterprise data domain knowledge.

Benefits

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