AI Engineer (Generative AI / LLM Engineer)

Experience: 3-5 Years

About the Role

We are looking for an experienced **AI Engineer (Generative AI / LLM Engineer)** to design, develop, and deploy enterprise-grade AI solutions powered by Large Language Models (LLMs). The role involves building intelligent AI systems that automate workflows, integrate with business applications, and deliver measurable business value.

Key Responsibilities

* Design and deploy AI applications using OpenAI, Claude, Gemini, Llama, and other LLMs.

* Build AI agents using LangChain, LangGraph, CrewAI, or similar frameworks.

* Develop enterprise-grade RAG pipelines (ingestion, embeddings, retrieval, ranking).

* Integrate AI solutions with APIs, databases, CRMs, ERPs, and other business applications.

* Build secure, scalable backend services using Python and FastAPI.

* Implement structured outputs, guardrails, and validation using Pydantic.

* Monitor model performance, latency, token usage, and optimize cost, reliability, and scalability.

* Collaborate with product, engineering, and business teams to deliver AI-powered solutions.

* Document system architecture, implementation, and deployment processes.

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Required Skills

Backend & Programming

* Python

* FastAPI

* Async Programming

* REST APIs

* Pydantic

* Microservices

Generative AI

* OpenAI GPT, Claude, Gemini, Open-source LLMs

* Prompt Engineering

* Function & Tool Calling

* AI Agent Architectures

* Context & Token Management

RAG & Vector Databases

* RAG Architecture





* Embeddings & Semantic Search

* Pinecone

* Weaviate

* pgvector

* ChromaDB

AI Evaluation & Optimization

* LLM Evaluation

* Prompt Testing

* AI Monitoring

* Hallucination Detection

* Cost Optimization

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Required Experience

Candidates should have hands-on experience delivering production-grade Generative AI solutions, including:

* Enterprise AI applications

* Agentic AI systems

* Large-scale RAG implementations

* Workflow automation

* API-integrated LLM applications

* Production deployment, monitoring, and optimization

Candidates must be able to clearly explain:

* Architecture

* IndiviSolution dual Contributions

* Business Impact

* Scalability Approach

* Implementation Strategy

* Performance Optimization

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Educational Qualification

* B.E./B.Tech in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related discipline.*

* Candidates from premier institutes such as IITs and NITs will be preferred.

* Master's degree (M.Tech/MS) in AI, Machine Learning, Computer Science, or related fields will be an added advantage.

* Solid academic background with excellent problem-solving and analytical skills.

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Preferred Skills

* Multi-Agent AI Systems

* AWS, Azure, or GCP

* Docker & Kubernetes

* MLOps / AIOps

* Enterprise Security

* Responsible AI

* CI/CD for AI Applications

Location

FCS Software Solutions

Plot No. 83, NSEZ, Noida, Uttar Pradesh 201305

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Contact

Astha Verma

Senior HR Executive

(phone hidden)

📌 Artificial Intelligence Engineer (Noida)
🏢 FCS Software Solutions
📍 Noida