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.