Senior Software Development Engineer (AI/ML)

Position summary:

We are seeking a talented Senior Software Development Engineer to join our AI team. You will technically lead experienced software and machine learning engineers to develop, test, and deploy AI-based solutions, with a primary focus on large language models and other machine learning applications. This is an excellent opportunity to apply your software engineering skills in a dynamic, real-world environment and gain hands-on experience in cutting-edge AI technology.

Key Responsibilities:

• Architect and build scalable AI/ML solutions with a strong focus on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and deep learning architectures.
• Own the full AI lifecycle including data ingestion, document indexing, embedding generation, retrieval, preprocessing, training, fine-tuning, evaluation, and production deployment.
• Design, implement, and optimize RAG pipelines using vector databases and retrieval frameworks to enable accurate, grounded, and explainable AI responses.
• Apply advanced fine-tuning methods such as LoRA and Q-LoRA to optimize large models for business-specific use cases.
• Implement and experiment with reasoning models (e.g., DeepSeek-R1) and hybrid RAG + reasoning workflows for complex enterprise AI applications.
• Curate, clean, chunk, and manage high-quality structured and unstructured datasets for robust RAG and model training workflows.
• Evaluate and improve RAG systems using RAG-specific evaluation techniques such as retrieval accuracy, faithfulness, relevance, latency, and hallucination reduction.
• Optimize model and retrieval performance through embedding optimization, reranking strategies, inference tuning, compute optimization, and efficient resource utilization.
• Build automated MLOps and LLMOps pipelines for training, deployment, monitoring, drift detection, and continuous improvement of AI and RAG systems.
• Deploy AI and RAG solutions across cloud platforms (AWS, Azure, GCP) and explore edge deployments where required.
• Develop APIs and microservices to integrate AI and RAG capabilities seamlessly into enterprise applications.
• Ensure compliance with data security, regulatory standards, privacy requirements, and responsible AI practices.
• Collaborate with product, engineering, and business stakeholders to deliver AI-driven and RAG-powered business outcomes.
• Mentor junior engineers and promote best practices in AI, RAG system design, and software engineering.
• Stay current with emerging AI, LLM, and RAG research, and drive innovation across the team.

Basic Qualifications:

• Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Engineering, or a related field.
• 5–8 years of hands-on experience in AI/ML engineering or related roles.
• Strong programming skills in Python.
• Solid understanding of machine learning fundamentals and deep learning concepts.
• Hands-on experience with ML frameworks such as PyTorch, TensorFlow, and scikit-learn.
• Practical experience or strong familiarity with LLMs, transformer-based architectures, and RAG concepts.
• Experience with vector databases (e.g., FAISS, Pinecone, Weaviate, Milvus) and retrieval frameworks (e.g., LangChain, LlamaIndex) is a plus.
• Understanding of RAG evaluation techniques, prompt engineering, and grounding strategies is a plus.
• Familiarity with frontend development and frameworks such as React.

Preferred Qualifications:

• Excellent problem-solving skills and an eagerness to learn in a fast-paced environment 
• Strong attention to detail and ability to communicate technical concepts clearly