AI Developer

We are looking for a highly skilled AI & Agentic Developer to design, build, and deploy intelligent autonomous systems. This role involves developing AI-powered agents that can perceive, reason, and act independently, leveraging LLMs, 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:

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 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.

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.

Required Skills & Qualifications:

Technical Skills:

• Strong programming skills 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.
• Excellent communication and documentation skills.

Preferred Qualifications:

• Master s. 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.