Lorvenk Technologies
Website:
lor-venk.com
Company:
https://www.linkedin.com/company/lorvenk-technologies
Seniority: Mid-Senior level
Industries: IT Services and IT Consulting
Job details:
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.
Click on Apply to know more.
.png1514549430159){kind=logo}
