Location : Anywhere in India.
Work Mode : Remote.
Interview Mode : Virtual Face-to-Face.
Mission :
Drive the future of responsible AI innovation by leading the design, development, and delivery of cutting-edge AI safety services and platforms.
Key Responsibilities :
Team Leadership & Strategy :
- Lead and mentor a cross-functional team of AI engineers, platform engineers, and a product manager.
- Set clear goals, promote collaboration, and cultivate a culture of impact and rapid learning.
- Implement agile processes to ensure speed, security, and quality in Innovation :
- Partner closely with clients to understand their AI safety goals, challenges, and integration needs.
- Translate customer requirements into actionable roadmaps aligned with innovation cycles.
Platform Development & Delivery :
Oversee the creation of tools for :1. Alignment assessment.
2. Adversarial testing.
3. Drift detection.
4. Interpretability analysis.
Make strategic build-vs-buy decisions to accelerate customer success.Engineering Excellence :
Implement and enforce best practices in secure coding, automation, monitoring, and Maintain high system reliability through SLAs / SLOs, rigorous testing, and operational dashboards.Continuous Innovation :
Stay updated on advancements in AI safety, model evaluation, and adversarial robustness.Pilot and integrate emerging techniques to improve AI deployment speed and safety.Qualifications & Experience :
Must-Have :
5+ years in software engineering, including 2+ years in a leadership role.Proven experience delivering AI / ML or data-intensive platforms.Strong background in coaching and talent development.Excellent communication and cross-functional collaboration skills.Technical Proficiency :
Languages / Frameworks : Python, TensorFlow, PyTorch, JavaScript, HTML / CSS.Tools : Docker, Kubernetes, REST APIs, SQL / NoSQL databases.Cloud Platforms : AWS, GCP, or Azure.Understanding of LLMs, prompt engineering, and adversarial testing.Nice to Have :
Familiarity with LangChain, LangGraph.Experience with distributed systems (e.g., Spark, Flink).Knowledge of AI regulatory frameworks (e.g., SOC 2, ISO 27001).(ref : hirist.tech)