Senior AI Enablement Engineer

ISHIR

46d

About The Position

ISHIR is a digital innovation and enterprise AI services provider. We work with startups and enterprises to shape the future through accelerated innovation, deep technical expertise, access to global digital talent and a passion for complex problem-solving. With our help, our clients overcome their most difficult digital challenges leveraging AI. We are not just consultants, we are partners in our clients’ success, assisting them with re(gaining) competitive edge by identifying opportunities for differentiation, industry disruption, scalable innovation, and go-to-market strategies that deliver successful outcomes. At ISHIR, we help bold businesses accelerate innovation through Talent, Speed-to-Market, and AI. We help make an impact by solving real problems using innovation, improved customer experiences and the right technologies. As an ISHIR employee, you will get the advanced training you need to be successful, and the opportunity to apply it. You must be passionate about technology, crave responsibility, and be eager to apply your knowledge to real business solutions for our startup and enterprise customers. These are the qualities of a person destined for success at ISHIR. ISHIR attracts a special type of individual—someone who is proactive, thrives on challenges, feeds off success, and looks at moving targets not as obstacles but as opportunities. ISHIR is an exciting place to work. It is imbued with an entrepreneurial spirit and promotes self-reliance, open communication, and collaboration.

Requirements

• 8+ years in platform engineering, DevOps, developer experience, or a closely related technical discipline.
• Demonstrated hands-on experience with LLM APIs and AI developer tooling in production or organizational contexts
• Experience evaluating, procuring, or governing AI/SaaS tools at an organizational level, including vendor assessment, license management, and cost governance.
• Strong Python skills for automation, tooling, and lightweight AI workflow and integration development.
• Practical, daily use of AI-assisted development tools (GitHub Copilot, Cursor, Claude Code, ChatGPT, or similar) in your own engineering workflows.
• Experience designing developer workflows, internal platforms, or engineering self-service capabilities with a focus on adoption and usability.
• Solid AWS experience with familiarity with Bedrock, API Gateway, or equivalent managed AI and cloud services.
• Strong observability mindset with the ability to instrument AI tooling and workflows with meaningful metrics and usage signals.
• Infrastructure-as-code familiarity (Terraform, Helm) and experience working within GitOps and CI/CD environments, with GitLab CI preferred.
• Excellent communication and stakeholder management skills, with the ability to translate technical findings into clear recommendations for engineering leadership and business audiences.

Nice To Haves

• Experience building or contributing to an internal AI enablement function, center of excellence, or developer experience program.
• Hands-on experience with LLM Agents, RAG pipelines, vector databases (pgvector, OpenSearch, Pinecone, or similar), and prompt orchestration frameworks such as LangChain or LlamaIndex.
• Familiarity with AI FinOps tooling, cost attribution models, and LLM API usage reporting at an organizational scale.
• Experience with AI governance frameworks including acceptable use policies, audit logging, PII redaction pipelines, and responsible AI practices in regulated enterprise environments.
• Background in financial services or insurance with an understanding of compliance constraints on AI tool usage and data handling.
• Experience with AI-specific security threat models including OWASP Top 10 for LLMs, prompt injection risks, and model supply chain security.
• Familiarity with developer productivity metrics frameworks such as DORA or SPACE, and a track record of using data to demonstrate engineering impact.
• Strong ownership demeanor with a structured, automation-first approach and demonstrated impact driving AI-first engineering practices across teams.

Responsibilities

• Drive an AI-first culture through internal playbooks and "golden-path" templates while measuring impact via DORA and SPACE metrics.
• Manage AI costs through token budgeting and usage tracking alongside guardrails like PII redaction and audit logging.
• Build and document reusable patterns for code generation, PRs, testing, and debugging to optimize the end-to-end developer lifecycle.
• Conduct POCs and provide recommendations for AI tools based on ROI, technical merit, and stakeholder feedback.
• Manage lightweight AWS infrastructure including API Gateways and LLM pipelines while integrating tools with CI/CD and GitLab.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed