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Artificial Intelligence Engineer - LLM/RAG

4 years

0 Lacs

itanagar arunachal pradesh india

Posted:3 days ago| Platform: Linkedin logo

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Skills Required

ai developer reports engineering development design openai retrieval logic data orchestration customization deployment cutting test fastapi microservices api integration connect summarization content docker kubernetes processing preprocess training tuning collaboration learning ml programming rest pytorch tensorflow aws gcp azure debugging communication agile neo4j model latency security python

Work Mode

Remote

Job Type

Full Time

Job Description

Role:

AI Developer

Type:

Full-Time (Payroll)

Location:

Remote (UK Shift)

Reports To:

Head of AI / Engineering Lead

Experience:

4 to 6 Years

Compensation:

?12 25 Lakh / Year

Availability:

Immediate Joiners Only

Role Overview

We are seeking an experienced AI Developer with strong expertise in Large Language Models (LLMs) and AI-driven application development to join our fast-growing team at Ekyam.ai.In this role, you will design and build AI Agents within our platform, leveraging LLM APIs (OpenAI, Anthropic, Google, etc.), prompt engineering, and RAG (Retrieval-Augmented Generation) techniques. You will be responsible for architecting agent logic, enabling complex tasks within e-commerce and retail data orchestration pipelines.

Responsibilities

This role also offers growth opportunities to work on in-house LLM customization and deployment, making it an ideal opportunity for AI professionals eager to evolve with cutting-edge AI Responsibilities :
  • AI Agent Development: Design, implement, test, and maintain AI Agent logic within FastAPI microservices, enabling intelligent orchestration of platform tasks and workflows.
  • LLM API Integration & Prompt Engineering: Connect with external LLM APIs, craft and optimize prompts, and ensure robust performance for use cases such as summarization, Q&A, and content generation.
  • RAG Implementation: Implement Retrieval-Augmented Generation pipelines with vector databases (Pinecone, FAISS, Weaviate, etc.) to enhance LLM responses with contextual data.
  • FastAPI Microservice Development: Build, deploy, and maintain scalable microservices in a containerized environment (Docker, Kubernetes) for AI agents.
  • Data Processing for AI: Prepare, preprocess, and manage data pipelines for context retrieval, training, or fine-tuning purposes.
  • Cross-Team Collaboration: Work with product, engineering, and data teams to deliver AI-powered features.
  • Continuous Learning & Future Growth: Stay current with the latest advancements in LLMs, and contribute towards future LLM fine-tuning, deployment, and MLOps Skills & Qualifications :
  • 4 to 6 years of hands-on experience in AI/ML application development.
  • Strong programming skills in Python.
  • Experience with FastAPI and REST API development.
  • Proven experience integrating and working with LLM APIs (OpenAI, Anthropic, Google).
  • Prompt Engineering expertise with demonstrable real-world use cases.
  • Practical experience with RAG concepts and vector databases (Pinecone, FAISS, etc.).
  • Solid understanding of Machine Learning fundamentals; exposure to PyTorch, TensorFlow, Hugging Face.
  • Experience with cloud platforms (AWS, GCP, Azure) and containerized deployments (Docker, Kubernetes).
  • Excellent problem-solving, debugging, and communication skills.
  • Ability to thrive in an agile, remote-first environment.
  • Bachelors or Masters in Computer Science, AI, or related Qualifications :
  • Experience with LangChain or LlamaIndex for AI agent development.
  • Familiarity with LangSmith for observability and debugging AI pipelines.
  • Experience with graph databases (Neo4j, Cypher).
  • Knowledge of MLOps practices, including model lifecycle management.
  • Skills in optimizing LLM performance (latency/cost).
  • Awareness of AI security and bias mitigation best Skills Summary :
  • Python (3+ Years) Intermediate
  • FastAPI (1+ Years) Intermediate
  • LLM (1+ Years) Intermediate
  • Prompt Engineering (1+ Years) Intermediate
  • Generative AI (2+ Years) Intermediate
  • Artificial Intelligence (2+ Years) Intermediate
(ref:hirist.tech)

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