Agentic AI Engineer

Compensation: ₹22L – ₹30L • No equity

Job Summary: Power Cloud Consulting is looking for a Gen AI engineer to build both Traditional AI/ML as well as Generative AI and Agent based systems. The candidate should be highly skilled in programming & statistics with the ability to confidently assess, analyze, and organize large amounts of data. This is a high-ownership “do whatever it takes” role for someone who wants to operate at founder speed, learn the full stack of an ERP Services business, and ship work that directly moves revenue, conversion, and retention.

Technical Skills: ● Hands on experience with building solutions using the language models, machine learning and AI models leveraging industry tools, products, and cognitive services ● Expertise in writing clean, efficient, and scalable Python code, with strong understanding of asynchronous programming, APIs, and modular design. ● Hands-on experience with frameworks like LangChain, LangGrpah, LlamaIndex, LlamaIndex, Semantic Kernel or Haystack, and integrating large language models (e.g., OpenAI, Gemini, Vertex, Bedrock, Anthropic, Mistral) into real-world applications ● Ability to design and optimize prompts, build autonomous agents, and orchestrate multi-step reasoning using tools like AutoGen, LangGraph or CrewAI ● Experience in building and managing agent ecosystems that interact with APIs, databases, and external tools to accomplish goals ● Experience deploying GenAI solutions on cloud platforms (AWS, Azure, GCP), with familiarity in containerization (Docker), CI/CD, and model lifecycle management. ● Deep and hands-on expertise in undertaking data collection, Data mining, preprocessing and analysis of structured and unstructured data ● Independently build and demo rapid generative AI demos and solutions with short notices ● Expertise in completions, embeddings, edits, transcriptions, translations, fine-tunes, and moderations across the several large language models especially those of OpenAI, Bedrock or Vertex ● Develop AI-driven tools for code generation, documentation automation, ticket summarization, and knowledge retrieval. ● Integrate GenAI services with enterprise platforms such as NetSuite, GitHub, and internal applications. ● Work with vector databases and embeddings to enable intelligent search and contextual AI responses. ● Collaborate with DevOps teams to deploy AI solutions on cloud platforms such as Azure, AWS, or GCP. ● Experience with Large Language Models, such as OpenAI, equips you with the capability to create sophisticated AI applications. ● Hands-on knowledge of RAG architectures allows you to enhance information retrieval processes effectively. ● Well-versed in vector databases like Pinecone, FAISS, or Weaviate, enhancing your ability to create intelligent search mechanisms.

Behavioural Skills: ● Passionate about technology and customer success with excellent communication and articulation skills ● Bring innovation by coming up with ideas, differentiators, and development of tools / accelerators to differentiate us in the market. ● Ability to communicate technical concepts and solutions at a level appropriate for technical and non-technical audiences. ● Research, curate, and record tutorials on various applications of data science and machine learning