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Gurugram · On-site · 5-8 Yrs · 6 days ago
3 open roles1 posted in 7d3 in 30d
Hiring: Engineering
Job description
Overview
Domain-Specific Impact Areas
Responsibilities
- Cross-Functional AI Tooling: Partner with Dev, Creative, and QA leads to identify operational bottlenecks and engineer tailored AI solutions.
- Build and prioritize custom graphics tools to capture and multiply both static and animated art assets. These tools ensure they closely match our studio's outstanding art style.
- Architecture & Development: Build, test, and deploy internal AI applications, custom web portals, and Slack/Teams bots using modern LLM APIs.
- Workflow Automation: Build end-to-end automated pipelines connecting software systems like Jira, GitHub, and CMS using orchestration frameworks.
- Prompt Engineering & Fine-Tuning: Develop, evaluate, and optimize complex system prompts and workflows for high-quality outputs.
- Evaluation & Maintenance: Monitor tool performance, manage API cost optimization, mitigate model hallucination, and ensure strict data privacy and security compliance.
- For Dev & Math Teams: Automate tasks such as summarizing technical documentation, generating boilerplate code, and AI-assisted code reviews. Develop specialized AI tools to assist with complex math tooling and game balancing.
- For Creative Teams: Build asset-generation pipelines, automated game rules generation, and tools to generate themes that help Artists/Animators scale content securely.
- For QA Teams: Build agents that parse acceptance criteria to generate comprehensive test cases, automate synthetic test data generation, generate submission documents, and categorize bug reports.
Qualifications
- Experience: 5+ years in software engineering, with at least 1.5+ years of hands-on experience building production-grade AI/LLM applications.
- Specialized Expertise: Strong experience with art and animation pipelines is highly favorable.
- Programming: Proficiency in Python or TypeScript/Node.js.
- AI Ecosystem: Deep familiarity with LLM APIs, orchestration frameworks, and Vector Databases.
- Integrations: Proven track record of working with REST APIs, webhooks, and SDKs for various platforms like GitHub, Jira, Figma, Adobe, Slack, and Teams.
- Product Approach: Ability to interview internal users, translate their difficulties into technical requirements, and build intuitive UX/UI.
- Ambiguity Champion: Comfortable working in a rapidly shifting AI landscape, evaluating new frameworks, and picking the right tool for the job.
- Education: Computer Science Education (B.Tech/BE/MCA).
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Job application FAQ
Last updated 30 October 2026
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- Is Technical Lead - AI Specialist / Automation Engineer remote or on-site in Gurugram, Haryana?
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- This is a lead Technical Lead - AI Specialist / Automation Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.