Gen AI Technical Lead

Key Responsibilities:

• Code Generation & Refinement:

  Directly write, evaluate, and rewrite code to solve complex, real-world problems. This is not just a management role; it is a critical hands-on position.

• Code Validation:

  Develop and implement sophisticated frameworks to rate and evaluate the quality of code responses generated by our models. This includes creating automated test suites and benchmarks.

• Code Quality and Efficiency:

  Analyze and improve the efficiency and correctness of both human-written and model-generated code.

• Cross-Functional Collaboration:

  Partner with research, engineering, and product teams to integrate feedback and drive improvements in code-centric models.

Required Skills and Qualifications:

• Role:

  Tech Lead / Senior Software Engineer

• Experience:

  Proven track record (7 - 10+ years) of building and shipping complex software solutions.

• Languages (Priority):

• Python, Java, C, C++, JavaScript:

  Strong proficiency in at least one of these languages for evaluating and rewriting model-generated code in diverse environments.

• Code Evaluation:

  Experience in creating comprehensive test harnesses, evaluating code for correctness, efficiency, and security, and defining code quality metrics.

• GenAI Experience (Preferred):

  Familiarity with LLMs and the challenges of code generation, fine-tuning, and evaluation.

Why This Role is Critical for Our Success:

A Tech Lead with this specific skill set will be a force multiplier for our team. By combining coding proficiency with the ability to build evaluation frameworks, this individual will:

• Accelerate Development:

  Drastically reduce the time it takes to validate and refine code-generating models.

• Ensure Quality:

  Guarantee that the code produced by our models is robust, secure, and production-ready.

• Drive Innovation:

  Provide the deep technical insights needed to solve the most challenging and complex GenAI code use cases.

Preferred skills:

• priority languages:

  Python, Java, C, C++, Javascript

• domain expertise:

  stem fields, data analysis / data science, data visualization

• other requirements:

  familiarity with web visualization platforms, data analysis libraries, SQL/databases, JSON, HTML, markdown.

• seniority:

  tech lead level - we are seeing increasing demand for smaller datasets with high complexity.