Senior AI Software Engineer

As an experienced AI Software Engineer, you will be responsible for designing, developing, and deploying Agentic AI applications and advanced software solutions leveraging Large Language Models (LLMs) and modern AI tools. Your primary focus will be on building autonomous AI agents, integrating them with business systems, and delivering production-grade applications that effectively solve complex problems. Your key responsibilities will include designing and developing agentic AI systems capable of autonomous reasoning, planning, and execution. You will also be integrating LLMs (such as OpenAI, Anthropic, Mistral, LLaMA, etc.) into scalable software applications, and building and optimizing multi-agent workflows using frameworks like LangChain, AutoGen, CrewAI, or custom solutions. Additionally, you will implement vector databases (Pinecone, Weaviate, FAISS, Milvus) for semantic search and retrieval-augmented generation (RAG), fine-tune LLMs or use instruction-tuning and prompt engineering for domain-specific tasks, develop APIs, microservices, and backend logic to support AI applications, collaborate with product teams to identify opportunities for AI automation, and deploy applications to cloud platforms (AWS/GCP/Azure) with a focus on security, scalability, and reliability. Monitoring, testing, and improving model performance through real-world feedback loops will also be part of your responsibilities. To qualify for this role, you should have at least 2+ years of experience in software development using Python, Node.js, or similar technologies, along with 1+ years of hands-on experience in AI/ML development, specifically with LLMs. Additionally, you should have a minimum of 1 year of experience in building autonomous AI agents or agent-based applications, a strong understanding of AI orchestration frameworks like LangChain, AutoGen, CrewAI, etc., experience with vector databases and embedding models, and cloud deployment experience (AWS Lambda, EC2, ECS, GCP Cloud Run, Azure Functions). Strong problem-solving skills, the ability to work independently, and an ownership mindset are also required. Preferred skills for this role include experience with multi-modal AI (text, image, audio), knowledge of data pipelines, ETL, and real-time event-driven architectures, a background in NLP, transformers, and deep learning frameworks (PyTorch, TensorFlow), familiarity with DevOps, CI/CD pipelines, and container orchestration (Docker, Kubernetes), and contributions to open-source AI projects or publications in AI/ML. In return for your expertise, we offer a competitive salary, performance-based bonuses, flexible working hours, remote work opportunities, exposure to cutting-edge AI technologies and tools, and the opportunity to lead innovative AI projects with real-world impact. This is a full-time, permanent position with benefits including Provident Fund. If you meet the required qualifications and have the desired skills, we look forward to welcoming you to our team on the expected start date of 19/08/2025.,