Job Overview :

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 :

- 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.

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 :

- Masters 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.

Why Join Us?

- Work on the cutting edge of AI & autonomous agents.

- Be part of a team driving AI innovation for real-world impact.