Software Engineer Pod Lead · Turing Turing · TBD · remote (select) · 3w ago TBD remote (select) 3w ago

Benture; Pakistan; Remote; PKR 22,884,000 - 34,326,000; Full time

Job summary

Turing is seeking a Software Engineer Pod Lead on a 5-week contractor basis, remote across India, Pakistan, and other countries. You will contribute to Connectors and Tasks tracks, building backend environments and realistic agent tasks with strong Python.

You should have solid Python backend experience, experience shipping reliable services, and comfort with AI-coding tools and cloud tech. The role emphasizes independent work, rigorous QA, and clear technical documentation.

Qualifications

• Strong backend python development experience and ability to ship reliable services.
• Ability to work across unfamiliar codebases and tools with clear QA feedback.
• Excellent written communication for technical docs and rubric writing.

Responsibilities

• Build Python backend applications that simulate real SaaS tools.
• Develop digital-work environments for AI agents to interact with tools and data.
• Mine real-world workflows to model enterprise processes.
• Author and validate long-horizon agent tasks with multi-step reasoning.
• Write precise evaluation rubrics for task quality and correctness.
• Perform end-to-end QA and debug failures across environments.
• Identify edge cases and ambiguities before tasks ship.
• Leverage AI coding tools throughout development, debugging, and QA workflows.

Skills

Python

Backend engineering

Independent work

Code debugging

Tools

GCP

Docker

Harbor

Virtual machines

Job description

Software Engineer Pod Lead | Contractor | Remote (India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico)

Join Turing — one of the world's fastest-growing AI companies — to help build the infrastructure and training data powering next-generation AI agents. This is a high-impact, short-term contract role (5 weeks) for a strong backend engineer who thrives in fast-paced, technically demanding environments.

About Turing

Turing partners with the world's leading AI labs to advance frontier model capabilities in reasoning, coding, agentic behavior, multimodality, and STEM. We also build real-world AI systems that solve mission-critical challenges for enterprises globally.

Role Overview

You will contribute to a frontier AI data initiative across two closely related tracks: Connectors (building backend environments that simulate real SaaS tools) and Tasks (authoring and validating realistic agent tasks). Generalist backend engineers who can contribute across both tracks are strongly preferred.

What You'll Do

• Build Python backend applications that faithfully replicate real-world SaaS tools such as Slack, Linear, Jira, Notion, Gmail, and enterprise wikis.
• Develop realistic digital-work environments where AI agents can interact with tools, data, and workflows.
• Mine real-world data and workflows to understand how knowledge work is performed across enterprise applications.
• Author realistic, long-horizon agent tasks requiring multi-step reasoning, tool usage, and connector environment interaction.
• Write clear evaluation rubrics that precisely define correct, complete, and high-quality task completion.
• Validate tasks end-to-end for quality, realism, correctness, and achievability through rigorous QA.
• Identify ambiguity, edge cases, grading gaps, and unrealistic assumptions before tasks ship.
• Reproduce and debug failures across tasks and connector environments, providing actionable feedback to the team.
• Use AI coding tools extensively throughout development, debugging, testing, and QA workflows.

What We're Looking For

• Strong backend software engineering experience, primarily in Python.
• Proven experience building, testing, debugging, and maintaining backend applications.
• Working knowledge of GCP, Docker, virtual machines, and Harbor.
• Strong engineering judgment with a high bar for correctness and edge-case identification.
• Ability to translate real-world workflows into precise technical implementations and evaluation criteria.
• Excellent written communication skills for technical documentation, QA feedback, and rubric writing.
• Daily proficiency with AI coding tools such as Claude Code, Cursor, or Copilot — this is a hard requirement.
• Ability to work independently across unfamiliar codebases, tools, and technical environments.

Nice to Have

• Experience building or evaluating AI agents, LLM applications, or agentic systems.
• Experience developing backend integrations that replicate or interact with SaaS products.
• Familiarity with enterprise SaaS APIs (Slack, Linear, Jira, Notion, Gmail, etc.) at an API or data-model level.
• Experience with evaluation design, QA, rubric development, or AI training-data generation.
• Experience with complex multi-step workflows involving tool/function calling.
• Ability to contribute across both Connectors and Tasks tracks.

Engagement Details

• Commitment: Minimum 40 hours/week with at least 6 hours of daily overlap with PST.
• Employment Type: Contractor assignment (no medical/paid leave benefits).
• Duration: 5-week contract (expected start: next week).
• Eligible Locations: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico.