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Open nowPosted 113 days ago

AI Engineer

Itineris31 open roles

Where
Itineris IN, India
Work mode
Hybrid
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Your applicationOpen nowAI EngineerItineris · Itineris IN, India

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Itineris's own form.

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. Itineris postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 113 days ago

Itineris median: 1 days open

The posting

Job description

Hyderabad, India

There’s a saying at Itineris: Together goes a long way. And we live by that. Whether your job is translating our customers’ needs into the best software, selling, coding, or keeping our business running smoothly, we’re united by the same mission: growing our company and delivering innovative software that empowers energy and water utilities to engage better with their customers. UMAX is the brand name of our software solution for water and energy utilities. It automates their business processes and enables them to better engage with their customers. UMAX is a cloud-based solution, built on the powerful Microsoft Dynamics 365 platform.

As an AI Engineer, you will…

join our growing AI Practice team in Hyderabad. In this role, you will design, build, and operate AI-powered applications — from initial architecture through to production deployment on Azure — and you will also own a meaningful part of how we experiment on and evaluate the LLM agents and systems we ship, including UMAX's agent harness, the orchestration layer that powers UMAX's agentic capabilities. This is fundamentally a hands-on engineering role: you write production-grade code, own deployments, and care about what happens after the merge. At the same time, your instinct for rigorous evaluation and systematic experimentation - forming hypotheses, running structured tests on prompt strategies and orchestration patterns, and measuring whether a change is actually an improvement - is just as central to the job. As you grow with the team, you may naturally lean more into one side of this or the other, but on day one this role expects range across both.

Key Responsibilities

  • AI Application & Agent Development: Design and build AI-powered applications with agentic orchestration, RAG pipelines, and LLM integrations at their core. Own prompt and system prompt architecture, tool/function definitions, context management, and orchestration flow design, translating requirements into well-architected, maintainable solutions that work reliably in production.
  • Evaluation & Experimentation: Design evaluation frameworks for agent output quality — scoring rubrics, automated test suites, regression tracking — and run structured experiments across prompt strategies, tool configurations, and orchestration patterns. Form clear hypotheses, measure outcomes, and translate results into concrete improvements.
  • Azure Engineering & Deployment: Own the Azure infrastructure and deployment pipelines for AI workloads. This includes containerized and serverless deployments, IaC with Bicep, and keeping environments consistent across dev, staging, and production.
  • CI/CD: Build and maintain robust CI/CD pipelines for AI applications using Azure DevOps. Integrate security scanning, dependency management, and automated testing into the delivery pipeline as first-class concerns, not afterthoughts.
  • Platform Operations: Monitor, debug, and improve AI applications in production. Take ownership when things go wrong and drive incidents to resolution.
  • LLM & Agentic Landscape Research: Stay close to developments in the LLM and agentic AI space — new models, orchestration frameworks, evaluation techniques — and evaluate their relevance to UMAX's architecture, bringing in what matters.
  • Engineering Standards & Collaboration: Write clean, well-tested, reviewable code and participate actively in code reviews. Document experiment findings and design decisions clearly, and collaborate with peers across the AI Practice team to help raise the engineering bar. Leverage AI for engineering through GitHub Copilot, Claude Code, or similar, and actively expand our AI-first development workflow.

What you bring...

Software Engineering

  • Strong proficiency in Python or C#
  • Solid understanding of software design principles: modularity, testability, observability
  • Experience building and consuming RESTful APIs and microservices architectures
  • Comfortable working across the full development lifecycle

AI & LLM Engineering

  • Deep practical understanding of LLM behavior: prompting, context windows, tool/function calling, retrieval-augmented generation, multi-step reasoning
  • Hands-on experience with agentic orchestration frameworks (LangChain, Semantic Kernel, AutoGen, or similar)
  • Familiarity with Azure AI Foundry and Cognitive Services ecosystem
  • Experience with agentic development workflows using tools like GitHub Copilot, Claude Code, or similar

Evaluation & Experimentation

  • Experience designing or running structured experiments on LLM or agentic systems
  • Ability to define evaluation criteria, build scoring rubrics, and reason systematically about output quality
  • Familiarity with eval approaches (LLM-as-judge, human evaluation, automated regression testing)

DevOps & Cloud Engineering

  • Hands-on experience with Azure (ACA/AKS, Azure Storage, Azure Monitoring, App Insights, …)
  • Infrastructure as Code with Bicep (or Terraform, with willingness to learn)
  • Containerization with Docker; experience with Kubernetes is a plus
  • Building and maintaining CI/CD pipelines for containerized workloads through Azure DevOps

Analytical Thinking

  • Rigorous and curious: you form clear hypotheses before drawing conclusions
  • Comfortable with ambiguity and able to communicate findings clearly to both technical and non-technical stakeholders

Education & Experience

  • 3-5 years of demonstrable experience as a backend/full-stack software engineer, AI engineer, or data scientist
  • Degree in Computer Science, Software Engineering, AI/ML, or a related discipline

Preferred Qualifications

  • Experience with MCP, A2A, or other agent integration patterns
  • Familiarity with Copilot Studio or similar low-code agent orchestration platforms
  • Exposure to the Microsoft Dynamics 365 / Power Platform ecosystem
  • Experience with monitoring and observability tools
  • Microsoft Certified: Azure Developer Associate or DevOps Engineer Expert
  • Experience contributing to or evaluating open-source LLM tooling
  • Publications, conference talks, or public writing on applied AI topics are a plus

What we offer

  • A fast-growing and international environment with offices in Hyderabad (India), Ghent (Belgium), Atlanta (USA), London (UK).
  • Working with future-ready water and energy companies and building valuable utility expertise.
  • Internal mobility, developing your career through various educational programs and growth paths.
  • An entrepreneurial mindset where you have a direct impact on our growth journey.
  • An open environment where we understand the importance of taking a break to recharge and achieve the best results. We make it a priority to celebrate milestones, both big and small.
  • Onboarding, learning and buddy programs to get ready for a smooth start in your new job.
  • A flexible and inclusive working environment – where people can just be who they are, and where we offer flexible options for hybrid working so you can work in a way that suits you best.
  • Competitive perks & benefits, because we want to help you reach your full potential, both at work and in your personal life.
  • A lot of fun moments with an eye for sports, celebration and wellbeing, important for maintaining a healthy work-life balance.
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