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    Job · 16283701

    Lorvenk Technologies logo

    GenAI Engineer

    Lorvenk Technologies · Hyderabad · onsite · Posted 44d ago

    Not disclosed3–5 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    Job Description

    We are looking for an experienced GenAI Engineer with strong hands-on expertise in designing, developing, and deploying end-to-end Generative AI solutions. The candidate will be responsible for taking GenAI use cases from problem understanding and solution design through development, integration, testing, deployment, and production support.

    Key Responsibilities

    • Design and develop end-to-end Generative AI and LLM-based applications.
    • Understand business requirements and translate them into practical GenAI solutions.
    • Build and implement RAG pipelines, knowledge-based applications, and semantic search solutions.
    • Develop AI agents and agentic workflows using LLMs, tools, APIs, and enterprise systems.
    • Implement prompt engineering, function/tool calling, structured outputs, memory, and context management.
    • Integrate GenAI applications with REST APIs, databases, third-party services, and enterprise applications.
    • Work with structured and unstructured data, documents, and enterprise knowledge bases.
    • Evaluate and improve LLM applications for accuracy, relevance, latency, reliability, and hallucination.
    • Optimize prompts, retrieval pipelines, model selection, and overall application performance.
    • Develop scalable and production-ready GenAI applications.
    • Deploy, monitor, troubleshoot, and maintain GenAI solutions in production.
    • Collaborate with business, product, and engineering teams to identify and implement new GenAI use cases.

    Required Technical Skills

    • Strong hands-on experience with Generative AI and Large Language Models (LLMs).
    • Experience with OpenAI, Azure OpenAI, Anthropic, Gemini, or similar LLM platforms.
    • Strong knowledge of RAG, embeddings, vector databases, semantic search, and retrieval pipelines.
    • Experience building AI agents / Agentic AI applications.
    • Experience with LangChain, LangGraph, or equivalent frameworks.
    • Strong Python programming skills.
    • Experience with REST APIs, JSON, webhooks, SQL, and database integrations.
    • Knowledge of prompt engineering, function calling, tool calling, and structured outputs.
    • Experience with LLM evaluation and optimization.
    • Strong software engineering, debugging, and problem-solving skills.
    • Experience with Git/GitHub and production development practices.

    Cloud & Deployment

    • Experience with AWS, Azure, or GCP.
    • Docker and containerization.
    • API/application deployment.
    • CI/CD fundamentals.
    • Monitoring and observability for production applications.

    Preferred Skills

    • Multi-agent systems
    • MCP and tool-based AI systems
    • AI-powered business process automation
    • Document AI / OCR
    • Conversational AI / Voice AI
    • Fine-tuning or model adaptation
    • Enterprise GenAI implementations
    • SAP, Salesforce, ServiceNow, CRM, or other enterprise integrations
    • Kubernetes / cloud-native deployments

    Candidate Profile

    • 3–5 years of relevant software, AI, or GenAI engineering experience.
    • Strong hands-on experience building real-world GenAI applications, not just POCs or prompt-based solutions.
    • Ability to independently own the complete GenAI lifecycle:

    Business Problem → Solution Architecture → LLM/RAG/Agent Design → Development → Integration → Evaluation → Deployment → Production

    • Strong ability to learn and work with rapidly evolving GenAI technologies.
    • Candidates with demonstrated experience in building and deploying production GenAI solutions will be preferred.

    Sourced from foundit

    Skills

    observabilityDockerGithubRetrieval Augmented Generationgoogle cloud platformamazon web servicesSemantic SearchMonitoringAzure OpenAIvector databasesEmbeddingsOpenAI SDKJSONretrieval pipelineswebhookAgentic AI applicationsPythonSQLREST APIMicrosoft AzureLanggraphLangchainAgentic AiGenerative AiGITCi/CdAnthropic Gemini

    About Lorvenk Technologies

    Lorvenk Technologies logo

    Lorvenk Technologies

    201-500

    employees

    2015

    11 years old

    Hyderabad / Secunderabad, Telangana

    India

    ₹4.6L PA avg

    Avg at Lorvenk Technologies

    About

    Lorvenk Technologies is the leading provider of custom application and end-to-end IT service.
    Lorvenk Technologies , founded in Virginia-USA, is a leading provider of Custom Application Development and end-to-end IT Services to clients globally. We use a client-centric engagement model that combines local on-site and off-site resources with the cost, global expertise and quality advantages of off-shore operations. We deliver Custom Application Development, Application Modernization, Business Process Outsourcing and Professional IT Services from office locations in USA and India.

    Lorvenk Mission:
    To develop Outsource and Co-source Turnkey Projects for Government and Industries around the globe and yield higher productivity, higher profitability and higher satisfaction for our clients.
    - Which majorly helps the clients to achieve critical business objectives & to set up a new standard in IT Project Delivery & Service.

    Lorvenk Vision:
    Our vision is to accelerate execution of our growth strategy while continuing to build our brand with clients, community and our employees. In every business engagement, we seek the opportunity to build long-lasting, strategic relationships with our client-centric focus that forms the basis for how we, as a company, operate and serve our clients. To be the best global IT delivery company, delivering solution by combining our unparalleled experience and capabilities across all industries, and collaborating with clients.

    Industries

    Information TechnologyRecruitingStaffing Agency

    Employee ratings

    10 reviews

    4.7/ 5

    Culture

    3.4

    Career growth

    3.7

    Work-life

    3.5

    Employees rate it well for

    Overall Company47Company Culture46

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