Position - LLM/AI Agents Developer

Type: Full-time

About the Role

We are looking for a highly skilled LLM/AI Agents Developer to design, build, and optimize AI agents capable of interacting across multiple modalities, including text, image, video, and audio. The ideal candidate should have experience integrating these AI agents with existing enterprise and consumer

software solutions, ensuring seamless interaction within real-world applications.

Key Responsibilities

• Develop and optimize multi-modal AI agents that can process and respond to text, images, videos, and audio.

• Fine-tune LLMs for specific tasks, optimizing for latency, accuracy, and contextual understanding.

• Integrate AI agents into existing software ecosystems, such as CRMs, ERPs, cloud platforms, and industry-specific solutions.

• Design retrieval-augmented generation (RAG) pipelines and knowledge augmentation techniques for improving agent responses.

• Implement prompt engineering, contextual memory, and fine-tuning for various business and consumer use cases.

• Develop API-based and embedded agent solutions that can work across different platforms (web, mobile, desktop).

• Build and optimize speech recognition (ASR) and text-to-speech (TTS) models for voice-based agents.

• Ensure scalability, security, and performance of AI-driven solutions.

• Collaborate with product, design, and backend teams to deploy AI agents in production environments.

Required Skills & Experience

• Strong experience with LLMs and AI frameworks (OpenAI GPT, Claude, Mistral, LLaMA, etc.).

• Prior experience working with AI agents.

• Exposure to multi-agent systems and how AI agents can collaborate.

• Experience with multi-modal AI (text, image, video, and audio processing).

• Proficiency in Python and ML libraries (PyTorch, TensorFlow, Hugging Face, LangChain alternatives).

• Hands-on experience in fine-tuning and deploying LLMs.

• Knowledge of software integrations, including working with APIs, SDKs, and enterprise software (Salesforce, SAP, Odoo, etc.).

• Experience with RAG systems, embeddings, and vector databases (FAISS, ChromaDB, Pinecone,etc.).

• Familiarity with ASR and TTS technologies (Whisper, Deepgram, etc.).

• Experience with cloud platforms and MLOps (AWS, Azure, GCP, Docker, Kubernetes).

• Strong problem-solving skills and the ability to optimize AI models for real-world applications.

‘Nice to Have’s

• Familiarity with edge AI deployments for mobile and embedded devices.

• Experience with graph neural networks (GNNs) for knowledge graphs and reasoning tasks.

• Knowledge of Reinforcement learning techniques

Why Join Us?

• Work on cutting-edge multi-modal AI solutions that push the boundaries of intelligent agents.

• Opportunity to integrate AI into real-world enterprise applications used globally.

• Competitive salary, flexible work environment, and a chance to shape the future of AI agents.

If you're passionate about multi-modal AI and intelligent agent development, we’d love to hear from you!