AI Engineer (GCP and ADK)

Shyena Tech Yarns Pvt. Ltd.; India; Hybrid; INR 3,500,000 - 6,000,000; Full time

Job summary

Shyena Tech Yarns Pvt. Ltd. invites an experienced AI Engineer to design and build GenAI/LlMS-driven solutions.

You will craft production-ready AI apps with a focus on agentic AI, RAG, and scalable APIs, leveraging Python and modern frameworks. The role requires deep knowledge of GCP and ADK and hands-on cloud deployment experience. The team collaborates with Data Scientists, Engineers, and business stakeholders to implement robust AI systems, evaluate performance, and ensure governance.

Qualifications

• 7+ years in AI/ML, Data Science, NLP, or related technologies.
• Strong Python programming skills.
• GCP and ADK mandatory.
• Hands-on experience with Generative AI, LLMs, and RAG.
• Experience with Agentic AI frameworks such as LangChain/LangGraph/AutoGen/CrewAI.
• Knowledge of ML/DL, NLP, Transformers, embeddings.
• Experience with vector databases (FAISS, Pinecone, Chroma, Weaviate).
• Experience with AWS/Azure/GCP and AI/ML cloud services.
• Knowledge of APIs, microservices, Git, Docker, and CI/CD.

Responsibilities

• Develop GenAI and LLM-powered applications using mature models.
• Design Agentic AI and multi-agent systems.
• Build RAG pipelines, vector search, embeddings, and knowledge-grounded AI solutions.
• Implement prompt engineering, function calling, memory, workflows, and AI agent orchestration.
• Develop and deploy ML/DL models using Python.
• Create scalable AI APIs and apps with FastAPI and related frameworks.
• Deploy AI/ML solutions on AWS, Azure, or GCP.
• Implement AI evaluation, monitoring, guardrails, and performance optimization.
• Collaborate with Data Scientists, Engineers, and business stakeholders.

Skills

Python

GCP

ADK

GenAI/LLM

Agentic AI

LangChain/LangGraph/AutoGen

RAG pipelines

APIs/Docker/CI-CD

Cloud platforms (AWS/Azure/GCP)

Tools

FAISS

Pinecone/Chroma/Weaviate

LangChain

LangGraph

Job description

AI Engineer - GCP and ADK

Generative AI & Agentic AI

Experience: 7+ Years

Notice Period: 15 to 30 days only

Location: PAN India, Pune, Bangalore, Hyderabad, Chennai, Delhi, Kolkata, Mumbai

(If you're looking for a new challenge and are open to relocation, we'd love to hear from you!)

Focus: GenAI | Agentic AI | LLM | ML | Python | Cloud | Data Science

Mandatory on: GCP and ADK

About the Role

We are looking for an experienced AI Engineer to design and develop intelligent solutions using Generative AI, LLMs, Agentic AI, Machine Learning, and Data Science. The ideal candidate should have strong Python skills and hands-on experience building production-ready AI applications.

Key Responsibilities

• Develop GenAI and LLM-powered applications using GPT, Claude, Gemini, LLaMA, Mistral, or similar models.
• Design and implement Agentic AI and multi-agent systems using LangChain, LangGraph, AutoGen, CrewAI, or LlamaIndex.
• Build RAG pipelines, vector search, embeddings, and knowledge-grounded AI solutions.
• Implement prompt engineering, function/tool calling, memory, workflows, and AI agent orchestration.
• Develop and deploy Machine Learning and Deep Learning models using Python.
• Build scalable AI APIs and applications using FastAPI and related frameworks.
• Deploy AI/ML solutions on AWS, Azure, or GCP.
• Implement AI evaluation, monitoring, guardrails, and performance optimization.
• Collaborate with Data Scientists, Data Engineers, Software Engineers, and business stakeholders.

Must-Have Skills

• 5+ years in AI/ML, Data Science, NLP, or related technologies.
• Strong Python programming skills.
• GCP and ADK
• Hands-on experience with Generative AI, LLMs, and RAG.
• Experience with Agentic AI frameworks such as LangChain/LangGraph/AutoGen/CrewAI.
• Knowledge of Machine Learning, Deep Learning, NLP, Transformers, and embeddings.
• Experience with vector databases such as FAISS, Pinecone, Chroma, or Weaviate.
• Experience with AWS/Azure/GCP and AI/ML cloud services.
• Knowledge of APIs, microservices, Git, Docker, and CI/CD.

Good to Have

• LLM fine-tuning, LoRA/PEFT, and model optimization.
• Experience with MCP, A2A, AI Agents, LLMOps/MLOps.
• Databricks, Spark/PySpark, SQL, or Data Engineering experience.
• Experience with multimodal AI and AI evaluation/observability tools.

PLEASE DO NOT APPLY IF:

Total Experience: Less than 7 years

Notice Period is 90 days

Education: Non-Engineering Degree

Looking for Remote/Work from Home