{"id":1444973,"url":"https://alion.io/job/rarr-technologies-azure-openai-engineer","title":"Azure OpenAI Engineer","company":{"id":3801593,"name":"RARR Technologies","domain":"rarrtech.com","url":"https://alion.io/company/rarr-technologies","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Delhi, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":39000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":42},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-29T05:58:52Z","employer_posted_date":null,"last_verified_at":"2026-09-29T05:58:52Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"About the Role:\n\nWe are looking for an experienced Azure OpenAI Engineer to design, build, and operate scalable AI platform capabilities on Microsoft Azure, with a strong focus on Azure OpenAI, Azure Kubernetes Service (AKS), Generative AI, RAG, AI agents, and multi-agent workflows.\n\nThe role will involve building reusable AI platform components, APIs, deployment frameworks, agent harnesses, governance controls, and observability capabilities that enable secure and reliable enterprise AI adoption.\n\nKey Responsibilities:\n\n- Lead the design, development, and deployment of enterprise AI platforms on Microsoft Azure, with a strong focus on Azure AI services and AKS.\n\n- Build and maintain scalable, secure, and reusable platform components supporting LLM applications, RAG solutions, AI agents, and multi-agent workflows.\n\n- Develop reusable APIs, platform services, deployment templates, reference implementations, and engineering frameworks for enterprise AI use cases.\n\n- Build and enhance agent harnesses supporting orchestration, tool integration, memory, context and state management, policy enforcement, tracing, and exception handling.\n\n- Design and optimize RAG pipelines, including document ingestion, embeddings, vector search, retrieval, context construction, and response generation.\n\n- Integrate LLMs, AI services, enterprise APIs, and data sources securely and efficiently.\n\n- Implement AI guardrails, policy controls, content safety mechanisms, and responsible AI practices.\n\n- Build evaluation capabilities to measure AI/LLM quality, relevance, reliability, safety, and performance.\n\n- Develop and automate CI/CD pipelines for AI applications and platform components using GitHub Actions or equivalent tools.\n\n- Automate infrastructure provisioning and environment management using Terraform and Infrastructure as Code practices.\n\n- Implement security validation and deployment controls across AI workloads and cloud infrastructure.\n\n- Establish comprehensive observability, monitoring, logging, tracing, and alerting for AI applications and platform infrastructure.\n\n- Monitor and optimize AI workloads for scalability, availability, latency, reliability, and cost.\n\n- Collaborate with Architecture, Data Engineering, Security, DevOps, Product, and business teams to define AI platform standards, governance, and operating practices.\n\n- Provide technical leadership in enterprise AI platform adoption and integration.\n\n- Mentor engineering teams on AI platform development, deployment, security, and operational excellence.\n\n- Troubleshoot complex AI platform, deployment, integration, and production issues and drive root-cause resolution.\n\n- Stay current with Azure OpenAI, Azure AI, AKS, GenAI, agentic AI, and AI platform engineering advancements and identify opportunities for platform enhancement.\n\nRequired Skills & Experience:\n\n- 7 - 12 years of experience in software engineering, cloud engineering, AI/ML engineering, or platform engineering.\n\n- Strong hands-on experience with Microsoft Azure and cloud-native application development.\n\n- Strong expertise in Azure OpenAI and enterprise Generative AI application architecture.\n\n- Hands-on experience with AKS/Kubernetes, containers, and scalable AI workloads.\n\n- Strong understanding of LLMs, RAG, embeddings, vector search, prompt engineering, and AI agent architectures.\n\n- Experience building AI agents, multi-agent workflows, orchestration, tool/function calling, and stateful AI applications.\n\n- Strong understanding of agent memory, context management, exception handling, tracing, and policy enforcement.\n\n- Experience building and optimizing RAG and retrieval pipelines.\n\n- Strong experience with REST APIs, microservices, enterprise integrations, and distributed systems.\n\n- Hands-on experience with GitHub Actions or similar CI/CD platforms.\n\n- Strong experience with Terraform / Infrastructure as Code.\n\n- Experience implementing AI guardrails, security controls, responsible AI practices, and governance mechanisms.\n\n- Experience with AI/LLM evaluation, monitoring, observability, logging, and tracing.\n\n- Strong programming experience in Python and/or another modern programming language.\n\n- Good understanding of cloud security, identity, access control, secrets management, and secure data integration.\n\n- Strong analytical, troubleshooting, and problem-solving skills.\n\n- Strong technical leadership, communication, stakeholder management, and mentoring capabilities.\nSkills\nGenerative AI, Azure Kubernetes Service, Python, Terraform, RAG, OpenAI, Azure, LLM","description_format":"text","description_chars":4556,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Enterprise Apps Implementation Partners"],"lifecycle":[{"event":"open","at":"2026-09-29T06:15:04Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":24,"reasons":["seen:2","velocity","win:early"],"computed_at":"2026-10-02T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/rarr-technologies-azure-openai-engineer","json_url":"https://alion.io/job/rarr-technologies-azure-openai-engineer.json","meta":{"generated_at":"2026-10-03T02:48:19Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2786,"day_limit":5000,"remaining_today":2214,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}