GenAI Engineer – Test Agent / CI Integration
Turing • Bangladesh, Brazil, Colombia, Egypt, India, Indonesia, Kenya, Nigeria, Pakistan, Turkey, Vietnam, Remote
Education
Master's
Type
Hourly
Listed
135d ago
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From the Turing listing
GenAI Engineer – Test Agent / CI Integration Location: Gurugram, India ( hybrid) Experience: 4–8 Years Employment Type: Full-Time Job Description: We are looking for a highly skilled GenAI Engineer – Test Agent / CI Integration to build and scale intelligent AI-powered testing systems for next-generation applications. The ideal candidate will work on automated test-agent frameworks, synthetic data generation, evaluation harnesses, and CI/CD-integrated AI testing pipelines. This role requires strong expertise in Python backend development, LLM evaluation frameworks, retrieval-grounded testing systems, and modern DevOps practices.
Key Responsibilities
AI Test Agent Development • Design and develop autonomous AI-driven test agents for validating GenAI and LLM-powered applications • Build systems for: • Synthetic data generation • Test-case synthesis • Scenario generation • Adversarial and edge-case testing • Develop reusable evaluation harnesses for benchmarking model quality, accuracy, safety, and reliability
Context-Aware Test Generation
• Integrate test agents with BLK’s knowledge/context graph for retrieval-grounded testing • Enable contextual test generation using RAG pipelines and graph-based retrieval systems • Ensure generated tests align with enterprise knowledge sources and real-world workflows
CI/CD & Automation
• Integrate AI test agents into CI/CD pipelines as first-class pipeline jobs • Automate regression testing, evaluation runs, and quality scoring during deployments • Build scalable validation workflows for continuous model monitoring and release gating
Evaluation Frameworks & Quality Engineering
• Work with LLM evaluation frameworks such as: • DeepEval • Ragas • Custom evaluation frameworks • Develop automated scoring mechanisms for: • Hallucination detection • Faithfulness • Relevance • Toxicity • Response quality • Integrate with pytest and existing QA ecosystems
Backend & Infrastructure
• Build and maintain Python backend services powering evaluation workflows • Optimize distributed evaluation execution for scalability and performance • Collaborate with platform, MLOps, and DevOps teams for production deployment
Required Skills & Qualifications
Technical Skills • Strong proficiency in Python • Experience with:
- Pytest
- CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, etc.)
- REST APIs & backend development • Hands-on experience with:
- LLM evaluation frameworks (DeepEval, Ragas, LangSmith, custom evaluators)
- RAG systems and retrieval pipelines
- Synthetic dataset generation
- Prompt engineering and evaluation strategies AI/ML & GenAI Expertise • Strong understanding of:
- Large Language Models (LLMs)
- Agentic systems
- AI evaluation methodologies
- Context grounding and knowledge retrieval • Familiarity with vector databases, embeddings, and knowledge graphs
DevOps & Automation
• Experience integrating AI workflows into CI/CD environments • Understanding of automated quality gates and testing orchestration
Preferred Qualifications
• Experience working with knowledge graphs or graph databases • Exposure to LangChain, LlamaIndex, or similar orchestration frameworks • Familiarity with Kubernetes, Docker, and cloud platforms (AWS/GCP/Azure) • Experience in enterprise-scale AI platform engineering
Important Note
This is a niche requirement and not a regular GenAI developer role. We are specifically looking for candidates with experience in: • AI validation/testing • QE automation • Python backend • CI/CD integration • LLM evaluation frameworks • RAG and retrieval-grounded systems
Requirements
- Must be eligible to work in one of: Bangladesh, Brazil, Colombia, etc.
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
How long hiring takes
Across the AI training platforms we refer candidates to, the median gap between referral and hire is about 30 days. It varies by platform and role, so treat it as a rough guide for this one.
Interview Prep
This listing calls for this tool directly. Prep for the technical screen:
What to Expect
Looking at Turing Software Engineering listings we've tracked, contracts in this domain typically run about 8.4 weeks. Actual length varies by project, but this gives you a realistic baseline going in.
Based on 28 extracted Turing Software Engineering listings.
Why this role
As a GenAI Engineer – Test Agent / CI Integration, your Software Engineering background is the qualification, and onboarding covers whatever AI training process is new to you.
Skills and categories
Explore other opportunities in related specializations:
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Common questions
Do I need to be a software engineer to work for Turing?
No, not anymore. Turing built its name matching senior engineers with Silicon Valley companies, but it has since expanded into AGI infrastructure work and now hires non-engineering domain experts, technical writers, and researchers for post-training data annotation and RLHF. A strong analytical background and excellent English matter more than coding ability.
How does Turing's talent matching work?
Turing calls it the Intelligent Talent Cloud. You build a profile and go through vetting (automated tests, an AI-powered interview, practical skill assessments), and once vetted, Turing's algorithm surfaces your profile directly to partner companies like Fortune 500s and top AI labs. You don't browse listings or bid on work; matches come to you.
What does asynchronous AI training work mean in practice?
No set hours, no check-ins, no meetings. You log in when you want, pick up an available task, complete it, and submit; nobody is waiting on you in real time. That's different from remote employment, where you're expected online during business hours. The tradeoff: you're competing with others for available tasks, so an empty queue means there's simply nothing to do until more work is released.
What does Software Engineering work look like for a GenAI Engineer – Test Agent / CI Integration?
Tasks here are scoped to Software Engineering, not generic labeling. As a GenAI Engineer – Test Agent / CI Integration, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Software Engineering) rather than following a one-size-fits-all rubric. If you don't have hands-on Software Engineering background, this is likely not the right listing to start with.
What specific skills does this listing call for?
Coding and Python are named directly in the listing. If you don't have hands-on experience with these, expect the screening process to test for them directly rather than accepting adjacent experience as a substitute.
How much does this specific role pay?
The listing doesn't state a rate. The $12–$35/hr shown here is our estimate from the role type and location (see /pay-methodology), so treat it as a rough guide and confirm the actual rate with the platform before committing time.
What happens when I click Apply on this listing?
You'll be taken to Turing's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.
Do I need a Master's to qualify?
This role lists a master's degree as a requirement. In practice, the domain assessment is the real gate. If you can pass it, the degree is usually secondary. However, some platforms verify credentials formally, so list your actual qualifications accurately on your profile.
Can I apply from outside Bangladesh, Brazil, Colombia and 8 other countries?
This specific role is open only to people based in Bangladesh, Brazil, Colombia, Egypt, India, Indonesia, Kenya, Nigeria, Pakistan, Turkey, and Vietnam. If you are somewhere else, applying is unlikely to lead to an offer even if you pass the assessment, because the restriction is usually about where the work can legally be contracted rather than your skills. Read the full description for any tax-residency or right-to-work caveats before you apply, since they can differ by country.