ML + Python , LLM, RAG Engineer( 4 yrs )

Orbion Infotech; India; Remote; INR 120,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

Learning stipend

Mentorship from experienced engineers

Remote-first work environment

Job summary

A leading technology firm is seeking a Machine Learning Engineer — LLM & RAG to design and implement end-to-end RAG pipelines, fine-tune LLMs, and build scalable Python services. Candidates should have 4+ years of experience in ML systems with a strong background in Python, PyTorch, and Retrieval-Augmented Generation. This role offers a remote-first and flexible work environment with competitive compensation and mentorship opportunities.

Qualifications

• 4+ years of hands‑on experience building ML systems with production deployments.
• Proven track record of shipping end-to-end ML features.
• Comfort working remotely across time zones.

Responsibilities

• Design and implement end-to-end RAG pipelines.
• Fine-tune and optimize LLMs and embedding models.
• Build scalable Python services for REST APIs.

Skills

Python

PyTorch

Hugging Face Transformers

LangChain

Retrieval-Augmented Generation

FAISS

Docker

REST APIs

Education

4+ years of experience in ML systems

Tools

Docker

AWS

Azure ML

Milvus

Pinecone

Job description

Base pay range

About The Opportunity

Industry: Enterprise Generative AI & Natural Language Processing (NLP). We build LLM-driven search, knowledge augmentation, and intelligent automation solutions for B2B SaaS and enterprise customers. The team focuses on production-grade Retrieval-Augmented Generation (RAG), embedding pipelines, and low-latency inference services that power customer-facing products and internal automation.

Standardized Title: Machine Learning Engineer — LLM & RAG (best-performing title for this search)

Role & Responsibilities

• Design and implement end-to-end RAG pipelines: document ingestion, embedding generation, vector indexing, retrieval, and prompt orchestration for production LLM applications.
• Fine-tune, evaluate, and optimize LLMs and embedding models to meet task-specific accuracy, latency, and cost targets.
• Build scalable Python services to expose inference and retrieval through secure REST APIs and microservices.
• Integrate vector databases and search (FAISS/Pinecone/Milvus) and implement efficient nearest-neighbor search, caching, and sharding strategies.
• Containerize and productionize models/services using Docker and orchestration best practices; collaborate on CI/CD, monitoring, and observability for ML workloads.
• Work cross-functionally with Product, Data Engineering, and DevOps to define KPIs, run A/B tests, and iterate on model quality and user experience.

Skills & Qualifications

Must-Have (Technical Skills)

• Python
• PyTorch
• Hugging Face Transformers
• LangChain
• Retrieval-Augmented Generation
• FAISS
• Docker
• REST APIs

Preferred

• Pinecone
• Milvus
• AWS (SageMaker / EC2) or Azure ML

Qualifications

• 4+ years of hands‑on experience building ML systems with production deployments in LLM/RAG or NLP applications.
• Proven track record of shipping end-to-end ML features: data ingestion, training/fine‑tuning, inference, and monitoring.
• Comfort working remotely across time zones and collaborating asynchronously with engineering and product teams in India.

Benefits & Culture Highlights

• Remote‑first, flexible‑work environment with emphasis on ownership and learning.
• Opportunities to work on cutting‑edge LLM projects and influence product direction.
• Competitive compensation, learning stipend, and mentorship from experienced ML engineers.

This role is optimized for engineers who combine strong software engineering discipline with deep practical experience in LLMs, vector search, and production ML. If you enjoy turning research‑grade models into reliable, scalable services, this is an excellent opportunity to make measurable product impact.

Skills: python, system design, rag, llm

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Other

Industries

IT Services and IT Consulting

Location: Vishakhapatnam, Andhra Pradesh, India