Sr Software Engineer - Bangalore

Senior AI & ML Platform Engineer

Location: Bengaluru Experience Level: 3–10 Years About the Role We are building next-generation AI-powered platforms that leverage Large Language Models (LLMs), advanced Machine Learning (ML), NLP, and agentic workflows to automate critical business processes across multiple domains. We are looking for experienced AI/ML Engineers who are passionate about building real-world AI products—not just experimenting. You will help design, prototype, and deploy intelligent systems integrating LLMs, agents, APIs, and robust ML models for classification, prediction, and optimization.

Responsibilities

• Build and integrate agentic AI workflows using LangChain or similar frameworks.

• Develop APIs and backend services to support LLM and ML-driven platforms.

• Implement, train, and optimize lightweight and scalable ML models for classification, prediction, and anomaly detection.

• Work with LLMs (OpenAI, Claude, Gemini) to fine-tune prompts, create retrieval-augmented generation (RAG) systems, and chain multi-step tasks.

• Design and optimize vector search implementations for LLM-driven applications.

• Integrate AI models with external systems (VMS platforms, ERP systems) using APIs.

• Implement document processing pipelines combining OCR with LLM/ML validation.

• Apply ML techniques for supply-demand forecasting, fraud detection, and optimization.

• Participate in design discussions, brainstorming sessions, and agile sprints.

• Collaborate with senior AI architects and SMEs to refine platform capabilities.

• Required Skills

• Strong experience in Python for ML and AI development.

• Expertise in ML frameworks such as TensorFlow, PyTorch, scikit-learn.

• Knowledge of NLP tasks (text extraction, classification, summarization).

• Experience building and optimizing RAG workflows with vector databases.

• Solid understanding of API development (FastAPI, Flask, or similar frameworks).

• Familiarity with prompt engineering and agent orchestration concepts.

• Ability to build scalable ML models for classification, forecasting, and anomaly detection.

• Experience integrating ML solutions with cloud services (AWS, Azure, GCP).

• Knowledge of OCR tools and techniques for document processing.

• Exposure to multi-agent architectures and reinforcement learning is a plus.

• Understanding of feature engineering, model evaluation, and optimization techniques.

• Mindset We Are Looking For

• Builder’s mindset: You love turning ideas into working solutions fast.

• Curiosity: Passionate about keeping up with the latest in GenAI and ML.

• Problem-solver: Comfortable working in ambiguous environments where solutions need discovery, not just execution.

• Collaboration: Open to learning from senior architects and iterating based on feedback.