Job Information

- Date Opened 05/29/2026
- Industry IT Services
- Job Type Full time
- Work Experience 3+ year
- City Vadodara
- State/Province Gujarat
- Country India
- Zip/Postal Code 390001

Role Summary

We are looking for a hands-on AI Engineer with strong expertise in Generative AI and Agentic AI systems, focused on building and operating production-grade applications. The ideal candidate must have practical experience designing, developing, and scaling real-world AI solutions powered by LLMs, autonomous agents, and up-to-date AI orchestration frameworks. This role requires strong engineering discipline to deliver reliable, observable, and maintainable AI systems used by real users in production environments.

Core Responsibilities

- Design, build, and maintain production-grade Generative AI and Agentic AI systems.
- Develop end-to-end LLM-powered applications with strong focus on reliability, scalability, and performance.
- Design and implement autonomous agents with structured reasoning, controlled execution flows, and tool integration.
- Build agent orchestration workflows including memory management, multi-step reasoning, and safe execution mechanisms.
- Implement robust guardrails, monitoring, and observability across agent workflows.
- Develop and optimize retrieval and knowledge augmentation pipelines supporting LLM grounding and contextual accuracy.
- Ensure structured output handling, validation, and predictable system behavior.
- Build scalable serving infrastructure for AI workloads including streaming, caching, and performance optimization.
- Apply LLMOps best practices including evaluation pipelines, prompt management, versioning, and monitoring.
- Optimize cost, latency, and system reliability for production-scale deployments.




- Collaborate with engineering teams to integrate AI systems into production environments following enterprise engineering standards.

Requirements

Required Qualifications

- 3–5 years of software or ML engineering experience.
- Proven hands-on experience building and deploying production-grade Generative AI or Agentic AI applications.
- Robust Python expertise with experience building scalable backend services.
- Practical experience with LLM orchestration frameworks such as LangChain, LangGraph, LlamaIndex, or similar.
- Robust understanding of agent architectures, tool calling, memory handling, and workflow orchestration.
- Experience designing and implementing RAG or retrieval-based systems.
- Hands-on experience with multi-agent orchestration patterns.
- Experience fine-tuning or adapting open-source LLMs using modern techniques.
- Experience with LLM evaluation frameworks and observability tools.
- Understanding of AI safety, guardrails, and responsible AI practices.
- Experience working with scalable distributed systems or high-throughput AI services.
- Solid understanding of LLM fundamentals including tokenization, context handling, prompting strategies, and model behavior.
- Experience with vector databases and semantic retrieval systems.
- Experience deploying systems on cloud platforms (AWS / Azure / GCP).
- Hands-on experience with Docker and containerized deployments.
- Strong debugging and problem-solving skills in non-deterministic AI systems.
- Experience operating AI systems in production environments with monitoring and observability.

Technology Stack

Models: GPT, Claude, Gemini, Mistral, LLaMA Frameworks: LangChain, LangGraph, LlamaIndex, Semantic Kernel

Agent Systems: LangGraph, AutoGen, CrewAI

Retrieval & Storage: Pinecone, Weaviate, Qdrant, pgvector,ChromaDB

Observability: LangSmith, Langfuse, Arize Phoenix

Infrastructure: AWS / Azure / GCP, Docker, Kubernetes, FastAPI

📌 AI Engineer (Vadodara)
🏢 netweb software
📍 Vadodara