Qureos Mentor

WinWire

<div>Experience &ndash; 8 to 10 Years
Job Description:
<ul>Strong understanding of New Relic APM, dashboards, alerts, logs, and NRQL queries
Hands-on experience with LGTM / CodeQL for static code analysis
Ability to configure and tune CodeQL queries, rules, and suppressions
Familiarity with common security vulnerabilities (OWASP Top 10)
Experience integrating code scanning tools into CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins, etc.)
Ability to perform code refactoring based on static analysis output
Understanding of DevSecOps practices and shift-left security
Basic knowledge of cloud platforms (especially Azure) and microservices architecture
Strong skills in documenting migration steps, workflows, and best practices
Effective communication and collaboration with development, DevOps, and security teams
(Optional) Experience writing custom CodeQL queries
4+ years of experience in working on Observability tools like New Relic, LGTM
6+ years of experience in Azure
5+ years of experience in Agile development environment
</ul>
Key Skills: Prometheus, Grafana, Azure Infra, LGTM</div>

Technical Lead - Infra Devops

<div>Experience &ndash; 6 to 10 Years
Job Description :
<ul>Strong experience in Microsoft Copilot Studio development, including topics, generative answers, actions, and adaptive cards
Expertise in Power Platform and Power Automate workflow integration
Solid experience in REST API integration and middleware design
Hands-on experience with Azure OpenAI Service and Azure cloud-native architectures
Backend/API development using Python (FastAPI)
Implementation of Responsible AI, security, and governance controls
Experience designing RAG-based AI solutions and semantic search workflows
Proficiency in CI/CD pipelines and ALM for Power Platform solutions
Experience with observability, telemetry, and performance optimization
Enterprise system integration with SSO and secure authentication
2&ndash;4 Years of Experience in Microsoft Copilot Studio Development &ndash; Building enterprise chatbots with topics, generative answers, actions, knowledge sources, context handling, fallback strategies, and adaptive cards
2&ndash;3 Years of Experience in Power Platform &amp; Workflow Automation &ndash; Designing Power Automate flows, Dataverse integrations, and custom connectors
2&ndash;3 Years of Experience in API Integration &ndash; Implementing REST APIs, input/output transformation, multilingual response handling, and rate-limit management
2&ndash;4 Years of Experience in Azure AI &amp; Cloud Integration &ndash; Hands-on experience with Azure OpenAI Service, Azure Functions, API Management, and Key Vault
3&ndash;5 Years of Experience in Backend/API Development &ndash; Developing middleware using Python (FastAPI), including authentication and error handling
3+ Years of Experience in Responsible AI, Security &amp; Governance &ndash; Implementing content moderation, PII masking, RBAC, and audit logging
2&ndash;3 Years of Experience in RAG &amp; Advanced AI Capabilities &ndash; Embeddings, vector search, semantic retrieval, and prompt engineering
2&ndash;3 Years of Experience in DevOps &amp; ALM for Power Platform &ndash; CI/CD pipelines, solution packaging, and deployment governance
2&ndash;3 Years of Experience in Observability &amp; Performance Optimization &ndash; Telemetry, latency monitoring, caching, and cost optimization
3&ndash;4 Years of Experience in Enterprise System Integration &ndash; Teams integration, SSO, authentication, and personalization
</ul>
Key Skills: MS copilot Studio, Power platform, API, API Integration, Azure AI, RAG, Devops, Observability &amp; Performance optimization</div>

Module Lead - Agentic AI

<div>Location : Hyderabad/Bangalore
Experience : 12 to 18 Years
Job Description:
<ul>Generative AI Solution Architecture (2&ndash;3 years): Proven experience in designing and architecting GenAI applications, including Retrieval-Augmented Generation (RAG), LLM orchestration (LangChain, LangGraph), and advanced prompt design strategies.
Backend &amp; Integration Expertise (5+ years): Strong background in architecting Python-based microservices, APIs, and orchestration layers that enable tool invocation, context management, and task decomposition across cloud-native environments (Azure Functions, GCP Cloud Functions, Kubernetes).
Enterprise LLM Architecture (2&ndash;3 years): Hands-on experience in architecting end-to-end LLM solutions using Azure OpenAI, Azure AI Studio, Hugging Face models, and GCP Vertex AI, ensuring scalability, security, and performance.
RAG &amp; Data Pipeline Design (2&ndash;3 years): Expertise in designing and optimizing RAG pipelines, including enterprise data ingestion, embedding generation, and vector search using Azure Cognitive Search, Pinecone, Weaviate, FAISS, or GCP Vertex AI Matching Engine.
LLM Optimization &amp; Adaptation (2&ndash;3 years): Experience in implementing fine-tuning and parameter-efficient tuning approaches (LoRA, QLoRA, PEFT) and integrating memory modules (long-term, short-term, episodic) to enhance agent intelligence.
Multi-Agent Orchestration (2&ndash;3 years): Skilled in designing multi-agent frameworks and orchestration pipelines with LangChain, AutoGen, or DSPy, enabling goal-driven planning, task decomposition, and tool/API invocation.
Performance Engineering (2&ndash;3 years): Experience in optimizing GCP Vertex AI models for latency, throughput, and scalability in enterprise-grade deployments.
AI Application Integration (2&ndash;3 years): Proven ability to integrate OpenAI and third-party models into enterprise applications via APIs and custom connectors (MuleSoft, Apigee, Azure APIM).
Governance &amp; Guardrails (1&ndash;2 years): Hands-on experience in implementing security, compliance, and governance frameworks for LLM-based applications, including content moderation, data protection, and responsible AI guardrails.
Architect Scalable GenAI Solutions: Lead the design of enterprise architectures for LLM and multi-agent systems, ensuring scalability, resilience, and security across Azure and GCP platforms.
Technology Strategy &amp; Guidance: Provide strategic technical leadership to customers and internal teams, aligning GenAI projects with business outcomes.
LLM &amp; RAG Applications: Architect and guide development of LLM-powered applications, assistants, and RAG pipelines for structured and unstructured data.
Agentic AI Frameworks: Define and implement agentic AI architectures leveraging frameworks like Lang Graph, AutoGen, DSPy, and cloud-native orchestration tools.
Integration &amp; APIs: Oversee integration of OpenAI, Azure OpenAI, and GCP Vertex AI models into enterprise systems, including MuleSoft Apigee connectors.
LLMOps &amp; Governance: Establish LLMOps practices (CI/CD, monitoring, optimization, cost control) and enforce responsible AI guardrails (bias detection, prompt injection protection, hallucination reduction).
Enterprise Governance: Lead architecture reviews, governance boards, and technical design authority for all LLM initiatives.
Collaboration: Partner with data scientists, engineers, and business teams to translate use cases into scalable, secure solutions.
Documentation &amp; Standards: Define and maintain best practices, playbooks, and technical documentation for enterprise adoption.
Monitoring &amp; Observability: Guide implementation of AgentOps dashboards for usage, adoption, ingestion health, and platform performance visibility.
</ul>
Key Skills: Agentic AI, Gen AI, GCP, Python, LLM, Rag, Langchain, AutoGen, APIs</div>

Sr Architect - Agentic AI

Join WinWire and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

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Technical Lead - Infra Devops

Module Lead - Agentic AI

Sr Architect - Agentic AI