Sr Software Engineer

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.

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  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.