AI & Agentic Developer

5 days ago

Noida, Uttar Pradesh, India SWITS DIGITAL Private Limited Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Description: AI & Agentic Developer
Location: Noida / Gurugram
Experience:
5–7 Years

Job Overview
We are looking for a
highly skilled AI & Agentic Developer
to design, build, and deploy
intelligent autonomous systems
. The role involves developing AI-powered agents capable of perceiving, reasoning, and acting independently. You will work on cutting-edge
LLMs, reinforcement learning, multi-agent systems
, and AI frameworks such as
LangChain, AutoGen, CrewAI
, along with
MLOps pipelines
for scalable deployment.

Key Responsibilities
AI & Machine Learning Development

  • Develop, train, and fine-tune machine learning (ML) and deep learning (DL) models.
  • Implement LLMs, NLP, reinforcement learning (RL), and computer vision (CV) models.
  • Optimize retrieval-augmented generation (RAG) systems using vector databases such as FAISS, Pinecone, Chroma.
  • Build multimodal AI systems integrating text, image, and audio.

Agentic AI Systems Development

  • Develop autonomous AI agents that make decisions, learn from feedback, and interact with environments.
  • Implement multi-agent frameworks using LangChain, CrewAI, AutoGen, BabyAGI, MetaGPT.
  • Integrate AI agents with APIs, databases, and enterprise applications for real-world deployment.

Software Engineering & MLOps

  • Design and deploy AI models using Docker, Kubernetes, and CI/CD pipelines.
  • Implement MLOps workflows for continuous training, monitoring, and model retraining.
  • Optimize AI solutions for cloud platforms (AWS, Azure, GCP) and edge computing.

AI Governance & Security

  • Implement AI safety measures, including adversarial defense and bias mitigation.
  • Ensure compliance with GDPR, HIPAA, SOC 2, and ethical AI principles.
  • Secure AI agents against prompt injection, model poisoning, and adversarial attacks.

Technical Skills
Required Skills & Qualifications:

  • Strong programming in Python, Java, or R.
  • Expertise in machine learning frameworks: TensorFlow, PyTorch, Scikit-Learn.
  • Experience with LLMs & NLP: Hugging Face, OpenAI API, BERT, GPT, Claude.
  • Proficiency in multi-agent frameworks: LangChain, CrewAI, AutoGen.
  • Knowledge of reinforcement learning: PPO, A3C, DDPG, SAC.
  • Experience with vector databases (FAISS, Pinecone, Chroma) and knowledge graphs.
  • Strong foundation in MLOps, cloud AI services (AWS, Azure AI, Google Vertex AI).

Soft Skills

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

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