Senior Software Engineer, AI Experience

Isolved Hcm; Hyderabad; Hybrid; INR 2,000,000 - 3,200,000; Full time

Job summary

isolved Hcm seeks a Senior AI Experience Engineer to advance AI-Driven Development Lifecycle (AI-DLC) and improve how engineers interact with AI collaborators. You will embed with product teams to identify workflow friction and deliver targeted tooling, reducing toil and increasing focus on high-value outcomes.

This role emphasizes hands-on iteration, pairing with engineers, and shaping AI-driven workflows, with a focus on context, reliability, and integration with engineering systems.

Qualifications

• 4+ years of professional software engineering experience.
• Ability to identify friction and design scalable, user-focused internal tools.
• Excellent collaboration and communication across varying levels of engineering expertise.
• Hands-on experience using AI coding tools (Claude, Copilot, Cursor).
• Experience building LLM-powered applications, including prompt engineering, RAG, agentic workflows.

Responsibilities

• Embed with product engineering teams to observe AI-DLC workflows and translate to improvements.
• Pair with engineers to demonstrate AI-driven development practices.
• Design and build agentic workflows, context-aware assistants, MCP servers, copilots.
• Develop AI-driven deployment pipelines, including AI-assisted code review and automation agents.
• Own and evolve AI quality pipelines (risk analysis, test generation, failure triage).
• Build integrations connecting AI tools to engineering systems (codebase, IDP, tickets).
• Engineer context and retrieval systems to deliver code/docs/standards into AI workflows.
• Develop reusable prompt libraries and evolve tooling with models.
• Define evaluation frameworks to measure impact on productivity and adoption (DX, DORA).
• Establish feedback loops to refine tooling based on real engineering needs.
• Ensure reliability, performance and trust in AI tooling in collaboration with platform teams.

Skills

Developer experience mindset

Collaboration & communication

AI coding tools

LLM-powered apps

C#/.NET proficiency

SQL Server proficiency

Tools

Claude

Copilot

Cursor

MCP servers

Job description

Job Description

The Senior AI Experience Engineer plays a critical role in advancing isolved's AI-Driven Development Lifecycle (AI-DLC), which is already in active use across engineering teams. This role operates at the intersection of developer experience and AI, focusing on improving how engineers interact with AI collaborators. By embedding directly with product teams, the engineer identifies workflow friction in real time, then designs and delivers targeted tooling and solutions to address it.

This position emphasizes a hands-on, iterative approach-pairing with engineers in their day-to-day environments, diagnosing gaps between AI capability and actual adoption, and treating those gaps as solvable engineering problems. The role is instrumental in shaping AI-driven workflows, enhancing context and reliability, and ultimately enabling engineers to work more efficiently by reducing toil and increasing focus on high-value outcomes like system design and customer impact.

Core Job Duties

• Embed with product engineering teams to observe AI-DLC workflows, identify friction points, and translate them into actionable improvements
• Partner directly with engineers through hands-on pairing to demonstrate effective AI-driven development practices
• Design and build agentic workflows, including context-aware AI assistants, MCP servers, and internal copilots
• Develop and maintain AI-driven development pipelines, including spec-driven workflows, AI-assisted code review, and automation agents
• Own and evolve AI quality pipelines (e.g., risk analysis, test generation, failure triage) based on real-world usage and feedback
• Build and maintain integrations connecting AI tools to engineering systems (e.g., codebase, IDP, tickets, runbooks)
• Engineer context and retrieval systems to deliver the right information (code, docs, standards) into AI workflows at the right time
• Develop and maintain reusable prompt libraries, ensuring continuous improvement as tooling and models evolve
• Define and implement evaluation frameworks to measure impact on developer productivity and AI adoption (e.g., DORA, DX metrics)
• Establish feedback loops to continuously refine tooling based on real engineering needs and observed friction
• Ensure reliability, performance, and trustworthiness of AI tooling while collaborating with platform teams on shared infrastructure

Minimum Qualifications

• 4+ years of professional software engineering experience
• Strong developer experience mindset, with the ability to identify friction and design scalable, user-focused solutions for internal engineers
• Excellent collaboration and communication skills, with experience pairing effectively across varying levels of engineering expertise
• Demonstrated product mindset for internal tooling, including measuring adoption and iterating based on user feedback
• Hands-on experience using AI coding tools (e.g., Claude, Copilot, Cursor) as part of daily development workflows
• Experience building LLM-powered applications, including prompt engineering, RAG, agentic workflows, and evaluation frameworks
• Working proficiency in SQL Server, C#/.NET and ability to deliver production-quality solutions in a .NET ecosystem
• Experience building or integrating tooling for agent-based workflows (e.g., MCP servers, tool integrations)
• Familiarity with developer productivity metrics (e.g., DORA, DX Core 4) and applying them to drive measurable improvements