AI/ML Engineer (LLM & AI Platform) – Remote (India)
About the Role
We are looking for an experienced AI/ML Engineer to join our team and build scalable AI-powered applications. The ideal candidate should have hands-on experience in designing, training, deploying, and optimizing AI/ML models, especially around Large Language Models (LLMs), AI pipelines, and API-based AI services.
This is a full-time, fully remote position for candidates based in India.
Experience
- Minimum 4 years of professional experience in AI/ML engineering.
- Proven experience delivering production-grade AI applications.
- Strong portfolio or demonstrable projects involving LLMs, RAG, AI agents, or ML model deployment.
Key Responsibilities
- Design, train, fine-tune, and optimize Machine Learning and AI models.
- Develop and maintain LLM-based applications using models such as Llama, Mistral, GPT, Gemini, Claude, or similar.
- Build scalable AI pipelines for data ingestion, preprocessing, embedding generation, inference, evaluation, and deployment.
- Create secure AI Gateway/API layers to expose AI services through REST or GraphQL APIs.
- Develop OpenAPI-compliant APIs and maintain API documentation.
- Implement Retrieval-Augmented Generation (RAG) architectures using vector databases.
- Build AI orchestration workflows using frameworks such as LangChain, LangGraph, LlamaIndex, or similar.
- Integrate AI services with backend systems and cloud infrastructure.
- Design automated testing and evaluation frameworks for AI models, including prompt testing, regression testing, hallucination detection, latency measurement, and quality benchmarking.
- Monitor model performance and optimize inference speed, cost, and scalability.
- Collaborate with frontend, backend, and DevOps teams to deliver production-ready AI solutions.
Required Technical Skills
- Strong Python programming skills.
- Experience with PyTorch, TensorFlow, or JAX.
- Hands-on experience with Hugging Face Transformers and model fine-tuning.
- Experience working with Large Language Models (LLMs).
- Knowledge of prompt engineering and prompt optimization.
- Experience building RAG (Retrieval-Augmented Generation) systems.
- Experience with vector databases such as Pinecone, Weaviate, Milvus, FAISS, ChromaDB, or Qdrant.
- Experience with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or similar AI orchestration frameworks.
- Experience deploying AI models using Docker and Kubernetes.
- Strong understanding of REST APIs, OpenAPI Specification, API Gateway, authentication, and rate limiting.
- Experience building inference pipelines and model serving using FastAPI, Flask, Triton Inference Server, or similar technologies.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Experience with CI/CD pipelines for ML workflows.
- Knowledge of MLOps concepts, including model versioning, monitoring, experiment tracking, and deployment automation.
- Familiarity with MLflow, Weights & Biases, Kubeflow, or similar MLOps platforms.
- Experience with Git and collaborative software development.
Preferred Qualifications
- Experience with AI Agents and multi-agent architectures.
- Knowledge of Model Context Protocol (MCP).
- Experience integrating external tools and APIs with LLMs.
- Familiarity with ONNX, TensorRT, or model optimization techniques.
- Experience with distributed model training.
- Knowledge of GPU optimization and inference acceleration.
- Experience with observability tools such as LangSmith, Phoenix, or OpenTelemetry.
Employment Details
- Position: AI/ML Engineer
- Experience: 4+ Years
- Employment Type: Full-Time
- Work Mode: Fully Remote
- Location: India
- Notice Period: Immediate
Pay: From ₹40,000.00 per month
Benefits:
Work Location: Remote