AI & Agentic Developer

We are seeking a highly skilled AI & Agentic Developer to design, build, and deploy intelligent autonomous systems. This cutting-edge role involves developing AI-powered agents leveraging LLMs (Large Language Models), reinforcement learning, and multi-agent systems, and will utilize frameworks like LangChain, AutoGen, and CrewAI within MLOps pipelines for scalable deployment.

Roles and Responsibilities

AI & Machine Learning Development:

• Develop, train, and fine-tune machine learning (ML) and deep learning (DL) models.
• Implement LLMs, NLP (Natural Language Processing), reinforcement learning (RL), and computer vision (CV) models.
• Optimize retrieval-augmented generation (RAG) systems using vector databases like FAISS, Pinecone, and 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, and 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 AI regulations (GDPR, HIPAA, SOC 2) and ethical AI principles.
• Secure AI agents against prompt injection, model poisoning, and adversarial attacks.

Skills Required

• Strong programming skills in Python, Java, or R.
• Expertise in machine learning frameworks such as TensorFlow, PyTorch, and 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 algorithms (PPO, A3C, DDPG, SAC).
• Experience with vector databases (FAISS, Pinecone, Chroma) and knowledge graphs.
• Strong foundation in MLOps and cloud AI services (AWS, Azure AI, Google Vertex AI).
• Strong analytical and problem-solving skills.
• The ability to work effectively in a fast-paced, cross-functional team.
• Excellent communication and documentation skills.
• A Master's in Computer Science, AI, or Data Science is preferred.
• Certifications in AI/ML (AWS ML Specialist, Google ML Engineer, Microsoft AI Engineer) are a plus.
• Experience with autonomous systems, robotics, or digital twins is preferred.
• A minimum of 5-7 years of similar or equivalent experience.