Job title: GenAI Tooling Engineer
Work Location: remote
Experience: 5-6 years
Education Qualification: B.A.
Roles and Responsibilities:
- Work directly with developer and platform teams to design, build, and integrate GenAI solutions into engineering workflows (CI/CD, IDE extensions, test automation, documentation, code reviews, bug triage).
- Prototype and deploy GenAI-powered tools, APIs, and plugins to accelerate developer productivity.
- Implement retrieval-augmented generation (RAG) pipelines, embeddings, and vector databases to support contextual developer assistance.
- Evaluate and productionize GenAI models and APIs (e.g., OpenAI, Anthropic, AWS Bedrock, GitHub Copilot).
- Automate developer workflows using GenAI-assisted scripts, bots, and pipelines.
- Collaborate with security, legal, and compliance teams to ensure safe, responsible, and compliant AI usage.
- Collect and analyze developer productivity metrics to measure impact and iterate on solutions.
- Stay current on GenAI trends and bring practical, emerging capabilities into the organization.
Required Skills & Desired Skills:
- 5+ years in software engineering, platform engineering, or developer productivity roles.
- Hands-on experience implementing GenAI solutions in enterprise or production environments.
- Proficiency in Python and ideally Go, Node.js, or similar.
- Strong understanding of APIs, cloud services (AWS preferred), and containerized environments.
- Experience working with LLMs, embeddings, vector databases, and RAG systems.
- Familiarity with developer workflows, CI/CD, Kubernetes, and developer tooling ecosystems.
- Practical experience with GenAI integrations (e.g., GitHub Copilot, OpenAI, AWS Bedrock). Desirable
- Experience building developer tooling, plugins, or extensions.
- Knowledge of prompt engineering best practices and model fine-tuning.
- Understanding of data security, compliance, and responsible AI.
- Prior experience in a DevEx, developer enablement, or productivity-focused role.
| Job Level | 5 – 8 Years |

