Engineering Lead – AI & Developer Platform in India at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engineering Lead – AI & Developer Platform based in India.

This role sits at the intersection of platform engineering, AI innovation, and developer experience, driving the evolution of scalable systems that power both internal engineering productivity and customer-facing products. You will lead the design and implementation of next-generation AI-enabled platform capabilities, shaping how engineering teams build, deploy, observe, and optimize software at scale. The position combines hands-on architecture work with strategic leadership, influencing modernization initiatives across multiple product ecosystems. You will collaborate closely with product, infrastructure, SRE, and security teams to enhance reliability, automation, and system intelligence. The environment is fast-moving and highly technical, with a strong emphasis on AI adoption, platform standardization, and engineering excellence. This is a high-impact leadership role where your decisions directly shape developer velocity and the organization’s AI transformation journey.

• Lead the architecture and delivery of AI-powered platform initiatives, ensuring scalable and production-grade implementation across engineering ecosystems.
• Design and build internal developer platform capabilities that improve engineering productivity, automation, and system reliability.
• Drive AI integration across customer-facing products, internal tools, workflows, and support systems using modern LLM and agentic frameworks.
• Define and enforce engineering standards, reusable frameworks, and best practices across platform and application teams.
• Partner with infrastructure, SRE, security, and product teams to ensure scalable, secure, and highly available platform systems.
• Improve CI/CD pipelines, observability, logging, monitoring, and operational excellence across distributed systems.
• Evaluate and implement modern AI tools, including LLMs, RAG pipelines, vector databases, and AI copilots for engineering use cases.
• Mentor engineers and provide technical leadership across architecture decisions and modernization initiatives.
• Guide long-term technical strategy for platform evolution, developer experience, and AI-driven engineering transformation.

• 6–10+ years of software engineering experience with strong exposure to platform engineering, distributed systems, and scalable architectures.
• Proven experience building or contributing to internal developer platforms or large-scale engineering ecosystems.
• Strong proficiency in backend development using Java, Python, Node.js, or Go.
• Hands-on experience integrating AI/LLM technologies (OpenAI, Anthropic, Gemini, or similar) into products or workflows.
• Strong understanding of system design, APIs, microservices, and event-driven architectures.
• Experience with CI/CD tooling (GitHub Actions, Jenkins), infrastructure-as-code (Terraform, Helm), and cloud platforms (AWS, GCP, or OCI).
• Strong knowledge of observability tools such as Prometheus, Grafana, OpenTelemetry, Loki, or ClickHouse.
• Familiarity with AI concepts such as embeddings, prompt engineering, vector databases, and RAG pipelines.
• Experience with Kubernetes and containerized environments at scale.
• Strong leadership, communication, and stakeholder management skills across cross-functional teams.
• Experience mentoring engineers and leading technical strategy in fast-moving environments.
• Exposure to AI governance, security, and identity systems (SSO, authentication) is a plus.

• Flexible work environment with remote, hybrid, and office-based options.
• Competitive compensation aligned with engineering leadership responsibilities.
• Comprehensive health insurance and wellness support programs.
• Education and certification sponsorship to support continuous learning.
• Flexible leave policies supporting work-life balance and personal time.
• Opportunity to work on cutting-edge AI, platform engineering, and developer tooling initiatives.
• Inclusive culture with global collaboration and strong focus on diversity and belonging.
• Career growth opportunities across multi-brand and large-scale engineering ecosystems.