India · LLM Engineers

Hire Remote LLM Engineers Fully Managed.

Large language model specialists from India — LangChain, RAG, vector databases, and fine-tuning. Starting at $650/week.

Full-time dedicatedU.S. timezone alignedFree replacement guarantee
starting at $600/week, all-inclusive·Shortlist in 7–14 business days

IN SUMMARY

F5 Hiring Solutions places full-time remote LLM engineers from India for U.S. companies in 7–14 days, starting at $650/week. LangChain, LlamaIndex, RAG architectures, vector database management, and fine-tuning specialists — fully managed.

Start Hiring LLM Engineers

Tell us your needs. We respond within 24 hours.

No commitment required. Shortlist ready in 7–14 business days.

Our professionals' former employers:
SamsungIBMAccentureT-MobileMetaInfosysTCSCognizantWiproGoogleAmazonMicrosoftStarbucks
Skills & Expertise

What LLM Engineers bring

LLM engineers from F5's India hub build production large language model applications. Deep experience with LangChain, LlamaIndex, OpenAI and Anthropic APIs, RAG pipelines, vector databases, evaluation frameworks, and model fine-tuning using LoRA and QLoRA techniques.

Python
LangChain
LlamaIndex
OpenAI API
Anthropic Claude API
RAG architecture
Pinecone
Weaviate
Qdrant
Chroma
Fine-tuning (LoRA, QLoRA)
Embedding models
Llama / Mistral
Evaluation frameworks
FastAPI

Senior (5–10 years)

Lead (10+ years)

Principal (12+ years)

Quality Assurance

How F5 Vets LLM Engineers

Every professional passes our rigorous 6-stage vetting process. Only the top 3% make it through.

01

Technical Assessment

Live coding exercises and role-specific technical tests tailored to the discipline.

2–3 hour assessment
02

Architecture Review

System design or domain-specific problem solving to evaluate depth of expertise.

Design challenge
03

Work Sample Audit

Review of past work, portfolios, or case studies for quality and standards adherence.

Portfolio review
04

Scenario Interview

Real-world problem scenarios testing decision-making and cross-functional communication.

45-min interview
05

Communication Assessment

English proficiency, clarity of explanation, and async collaboration capability.

Soft skills eval
06

Background Verification

Employment history, reference checks, and identity confirmation.

Full background check
3%

Pass rate

6

Screening stages

7–14 business days

Average vetting time

What's Included

Everything you need. Nothing you don't.

F5 handles the complexity of international hiring so you can focus on what matters — building your business.

Full-time dedicated professional

40+ hours per week, exclusively working on your projects

U.S. timezone alignment

4+ hours daily overlap with EST/PST business hours

F5-issued equipment

Company laptop, dual monitors, and all necessary software

Weekly reporting via F5 MyApp

Time tracking, task updates, and performance metrics

HR, payroll & compliance handled

We manage all employment logistics in their home country

Free replacement guarantee

If it's not a fit, we replace at no additional cost

TRANSPARENT PRICING
$375–$1,200/week

All-inclusive pricing for llm engineers. Covers salary, HR, compliance, equipment, and F5 management. No hidden fees.

Full-time (40+ hrs/week)Equipment includedManagement includedReplacement guarantee

FAQ: Hiring LLM Engineers

Remote LLM engineers through F5 cost $650–$1,100 per week, all-inclusive. U.S. LLM engineers at frontier-lab level command $250,000–$500,000 per year base.

LangChain, LlamaIndex, Haystack, DSPy, and Semantic Kernel. F5 LLM engineers have shipped RAG pipelines, agent workflows, and fine-tuned models in production environments.

Yes. F5 LLM engineers design and build end-to-end RAG pipelines — chunking strategies, embedding models, vector store selection (Pinecone, Weaviate, Qdrant, Chroma), retrieval ranking, and evaluation.

Yes. F5 LLM engineers have fine-tuning experience using LoRA, QLoRA, and full fine-tuning on open-source models including Llama, Mistral, and Falcon. Hugging Face and Axolotl tooling supported.

F5's technical assessment includes a take-home RAG implementation problem evaluated for chunking strategy, retrieval quality, evaluation methodology, and production readiness. Tutorial-level candidates are filtered before client presentation.

Yes. F5 has engineers experienced with self-hosted open-source models on AWS Bedrock, Azure ML, GCP Vertex AI, and on-prem GPU clusters using vLLM, TGI, and Ollama.

RAGAS, DeepEval, TruLens, LangSmith, and custom evaluation harnesses. F5 LLM engineers build evaluation pipelines before shipping to production — not after.

Shortlisted LLM engineers within 7–14 business days. Average first working day at 30 days. Replacements within 7–14 days at zero cost, anytime during the engagement.

Start Hiring LLM Engineers Today

Fill out the form above or book a call. Your shortlist will be ready in 7–14 business days.

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