AI & Agentic Developer

1 day ago

Noida, Uttar Pradesh, India Zorba AI Full time

Job Overview
We are seeking a highly skilled
AI & Agentic Developer
to design, build, and deploy
intelligent autonomous systems
. The ideal candidate will have strong expertise in
LLMs, Agentic AI frameworks, Reinforcement Learning, and MLOps
, and will work on cutting-edge AI solutions that can
perceive, reason, decide, and act independently
.

You will collaborate closely with cross-functional teams to build scalable, secure, and production-ready AI agent systems for real-world enterprise use cases.

Key Responsibilities
AI & Machine Learning Development

  • Design, develop, train, and fine-tune machine learning and deep learning models.
  • Implement and optimize LLMs, NLP, Reinforcement Learning (RL), and Computer Vision (CV) solutions.
  • Build and enhance Retrieval-Augmented Generation (RAG) pipelines using vector databases such as FAISS, Pinecone, and Chroma.
  • Develop multimodal AI systems integrating text, image, and audio data.

Agentic AI Systems Development

  • Design and develop autonomous AI agents capable of decision-making, reasoning, and learning from feedback.

  • Implement multi-agent systems using frameworks such as:

  • LangChain

  • CrewAI
  • AutoGen
  • BabyAGI

  • MetaGPT

  • Integrate AI agents with APIs, databases, cloud services, and enterprise applications.

  • Build agent workflows for real-world business automation and intelligence.

Software Engineering & MLOps

  • Develop and deploy AI models using Docker, Kubernetes, and CI/CD pipelines.
  • Design and maintain MLOps pipelines for continuous training, evaluation, monitoring, and retraining.
  • Optimize AI workloads for cloud platforms (AWS, Azure, GCP) and edge environments.
  • Ensure scalability, reliability, and performance of AI solutions in production.

AI Governance, Security & Compliance

  • Implement AI safety and governance measures, including bias mitigation and adversarial defense.
  • Ensure compliance with AI regulations and standards (GDPR, HIPAA, SOC 2).

  • Secure AI systems against:

  • Prompt injection attacks

  • Model poisoning

  • Adversarial exploits

  • Promote ethical AI principles and responsible AI development.

Technical Skills
Required Skills & Qualifications

  • Strong programming expertise in Python, Java, or R.

  • Hands-on experience with ML/DL frameworks:

  • TensorFlow

  • PyTorch

  • Scikit-Learn

  • Strong experience with LLMs & NLP:

  • Hugging Face

  • OpenAI APIs

  • GPT, BERT, Claude

  • Proficiency in Agentic & Multi-Agent frameworks:

  • LangChain

  • CrewAI

  • AutoGen

  • Solid understanding of Reinforcement Learning algorithms:

  • PPO, A3C, DDPG, SAC

  • Experience with vector databases and embeddings:

  • FAISS, Pinecone, Chroma

  • Strong foundation in MLOps and cloud AI services:

  • AWS, Azure AI, Google Vertex AI

Soft Skills

  • Strong analytical and problem-solving abilities.
  • Ability to work in a fast-paced, cross-functional environment.
  • Excellent communication, collaboration, and documentation skills.

Preferred Qualifications

  • Master's degree in Computer Science, AI, Data Science, or related field.

  • AI/ML certifications:

  • AWS Machine Learning Specialty

  • Google Professional ML Engineer

  • Microsoft AI Engineer

  • Experience with autonomous systems, robotics, or digital twins.

  • 5–7 years of hands-on experience in AI/ML or Agentic AI development.

Skills: llm,mlops,rag,cloud,nlp,langchain

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