AI Systems Innovator

11 hours ago

Pune, Maharashtra, India beBeeDeveloper Full time ₹ 1,04,000 - ₹ 1,30,878
AI & Agentic Systems Developer

We are seeking a highly skilled AI & Agentic Systems Developer to design, build, and deploy intelligent autonomous systems.

This role involves developing AI-powered agents that can perceive, reason, and act independently, leveraging large language models, reinforcement learning, and multi-agent systems. You will work on cutting-edge AI frameworks like LangChain, AutoGen, CrewAI, and MLOps pipelines for scalable deployment.

Key Responsibilities:
  • Develop, train, and fine-tune machine learning (ML) and deep learning (DL) models.
  • Implement large language models, NLP, reinforcement learning (RL), and computer vision (CV) models.
  • Optimize retrieval-augmented generation (RAG) systems with vector databases (FAISS, Pinecone, Chroma).
  • Work on multimodal AI systems integrating text, image, and audio processing.
Agentic AI Systems Development:
  • Build autonomous AI agents that can 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.
Required Skills & Qualifications:Technical Skills:
  • Strong programming skills in Python, Java, or R.
  • Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn).
  • Experience with large language models & 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.
  • Excellent communication and documentation skills.
Preferred Qualifications:
  • Masters degree in Computer Science, AI, or Data Science.
  • Certifications in AI/ML (AWS ML Specialist, Google ML Engineer, Microsoft AI Engineer).
  • Experience with autonomous systems, robotics, or digital twins.
  • 5-7 years of similar or equivalent experience.

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