1) Work on full-stack engineering tasks aligned with LLM post-training workflows;
2) Analyse model-generated outputs for correctness, coherence, and adherence to task requirements;
3) Write, review, and verify application logic and coding prompts across supported languages and frameworks;
4) Maintain consistency, quality, and efficiency in code-focused deliverables;
5) Engage with leads and PMs to meet productivity benchmarks (8-9 working hours daily);
6) Stay updated with AI development standards and contribute to refining internal engineering processes.

Role Overview:-
We are looking for experienced Python Full stack Software Engineers who can contribute to post-training AI development workflows with strong proficiency in coding tasks and evaluation logic. This role involves working on high-impact AI infrastructure projects, including but not limited to:

1) Code generation, validation, and transformation across Python, Java, JavaScript, and modern frameworks;
2) Evaluation and improvement of model-generated code responses;
3) Designing and verifying web application features, APIs, and test cases used in AI model alignment;
4) Interpreting and executing task specifications to meet rigorous quality benchmarks;
5) Collaborating with internal teams to meet daily throughput and quality targets within a structured environment.