LLM Integration, LangChain Engineer

Job not on LinkedIn

🕒 4 days ago

🇮🇳 India – Remote

⏳ Contract/Temporary

🟢 Junior

🟡 Mid-level

👷🏻‍♀️ Engineer

👻 Ghost score 12%

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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FyerX - Your Trusted Marketing Partner

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

📣 Marketing

🤝 B2B

Marketing • B2B

FyerX is a marketing agency based in Bangalore that specializes in helping businesses enhance their digital presence and improve online outcomes through tailored marketing strategies. With a passionate team of marketing experts, FyerX focuses on various aspects of digital marketing including social media marketing, branding, search engine optimization, and influencer marketing. They aim to fuel the growth of purpose-driven brands by developing integrated marketing plans that drive online growth and improve brand visibility.

📋 Description

• Design, develop, and implement orchestration layers connecting enterprise data assets with generative AI models • Design and construct advanced LLM applications and orchestrations using LangChain, LangGraph, LlamaIndex, or AutoGen • Build production-grade Retrieval-Augmented Generation (RAG) architectures with dynamic context chunking, document parsing, semantic metadata tagging, and reranking pipelines • Develop multi-agent reasoning chains and workflows with custom tool calling, memory caching, and guardrail validations • Expose and consume programmatic endpoints and build high-throughput API integrations connecting foundational LLMs with internal corporate databases and CRMs • Apply AI evaluation and prompt tracking structures using observability platforms such as LangSmith and Arize Phoenix • Monitor token usage, model latency, and prompt generation drift • Implement secure middleware execution barriers, including text sanitization, PII data masking, prompt injection defenses, and toxicity filtering • Optimize model inference costs and context window budgets • Design semantic caching frameworks such as GPTCache

🎯 Requirements

• 4 to 8 years of core enterprise backend web engineering or data pipelines experience • 2+ years of dedicated hands-on experience building, integrating, and deploying applications powered by Large Language Models (LLMs) • Mandatory developer certification from a major AI or cloud platform, such as Google Cloud Certified Professional ML Engineer, AWS Certified Machine Learning - Specialty, or verifiable framework specialization credentials • Strong technical mastery of Python or TypeScript • Experience with vector representations • Prompt engineering grounding mechanics • Experience with asynchronous web frameworks such as FastAPI • SQL proficiency • Deep understanding of transformer model designs • Understanding of text embedding properties • Understanding of agentic tool execution cycles • Understanding of API orchestration limits • Prior experience fine-tuning open-source LLMs via QLoRA or LoRA frameworks preferred • Familiarity with Docker, Kubernetes, and modern DevSecOps CI/CD delivery loops preferred

🏖️ Benefits

• Remote work arrangement • Contract employment