Gen AI Engineer

🕒 4 days ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Evnek

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

💼 Consulting

🤖 Artificial Intelligence

🤝 B2B

Consulting • Artificial Intelligence • B2B

Evnek is an AI-driven enterprise services company that builds and deploys agentic AI platforms, generative AI and machine learning solutions, and cloud-native engineering for businesses. It provides autonomous intelligent agents, cloud services across AWS/Google Cloud/Azure, data engineering, DevOps, API/microservices development, and strategic consulting to help organizations automate workflows, accelerate time-to-value, and realize measurable ROI from AI adoption.

📋 Description

• Design, develop, and deploy scalable Generative AI solutions for business and enterprise use cases • Build and optimize RAG pipelines using LLMs and enterprise data sources • Develop Agentic AI solutions capable of autonomous reasoning, planning, decision-making, and tool usage • Design and implement AI agents and multi-agent workflows for complex business processes • Integrate LLMs with structured and unstructured enterprise data • Collaborate with Data Engineering, Data Science, and business teams to identify and develop AI use cases • Develop APIs and backend services supporting GenAI applications and products • Evaluate, fine-tune, and optimize LLM performance for accuracy, relevance, latency, and scalability • Implement vector search, embeddings, and semantic retrieval solutions • Ensure GenAI applications follow security, governance, scalability, and responsible AI best practices • Own end-to-end delivery of GenAI projects from solution design through production deployment

🎯 Requirements

• 6–15 years of overall IT experience • Previous experience as a Data Engineer, Data Scientist, Data Analyst, or Python Developer • Strong hands-on programming experience in Python • Hands-on experience with Generative AI and Large Language Models (LLMs) • Strong practical experience with Retrieval-Augmented Generation (RAG) • Strong practical experience with Agentic AI • Strong practical experience with AI Agents and Multi-Agent Systems • Strong practical experience with Prompt Engineering • Strong practical experience with Embeddings and Semantic Search • Strong practical experience with Vector Databases • Experience with GenAI frameworks such as LangChain, LangGraph, LlamaIndex, or similar • Experience with LLMs such as OpenAI GPT models, Claude, Llama, Gemini, or other open-source/commercial models • Experience with vector databases such as Pinecone, FAISS, Chroma, Weaviate, Milvus, or similar • Strong understanding of data processing, data pipelines, APIs, and databases • Experience deploying AI/ML or GenAI applications into production environments • Knowledge of cloud AI platforms such as AWS Bedrock, Azure OpenAI, Google Vertex AI, or similar is preferred • Must have successfully delivered at least 3–5 Generative AI-based projects or products • Demonstrated hands-on experience building and deploying RAG-based applications • Demonstrated hands-on experience with Agentic AI or AI Agent workflows • Strong data background with previous experience in Data Engineering, Data Science, Data Analytics, or Python Development • Immediate joiner preferred

🏖️ Benefits

• Remote work arrangement • Immediate joining opportunity