Position: AI/ML Engineer

Email ID: [email protected]

Contact: (phone hidden)

Opportunity

We're looking for an AI/ML Engineer to design, build, and operate intelligent systems in production. You'll architect LLM-powered pipelines, deploy and scale ML models, and integrate AI capabilities into core product features — owning the full journey from model selection to live inference.

High Level Responsibilities

● Provide direction and clarity for the AI/ML endeavors of the team aligned with the latest changes in the tech world, to keep the product/company competitive in domain of AI/ML

● Architect and ship production-grade AI/ML systems — including LLM pipelines, NLP models, and agentic workflows

● Build and maintain robust serving infrastructure: APIs, inference endpoints, and real-time or batch processing pipelines

● Integrate LLMs via RAG, function calling, and tool use; implement guardrails, evaluation, and hallucination mitigation

● Own MLOps end-to-end — model versioning, CI/CD for ML, monitoring, drift detection, and rollback strategies

● Collaborate with Product, UI/UX, and Platform teams to embed AI features into customer-facing applications

● Optimize models and infrastructure for latency, throughput, cost, and reliability at scale

● Contribute to architecture decisions and establish engineering best practices for the AI stack

● Contribute in all phases of the Product Development Lifecycle

● Work closely with UI/UX, Architecture, DevOps and Testing teams, while continuing to focus on the customer and business value

● Optimize algorithms for maximum speed, performance and scalability

Preferred Skills and Qualifications





● 4+ years of experience building and deploying ML/AI systems in production environments

● Solid Python engineering skills — clean, testable, production-quality code; Java or Go a plus

● Hands-on experience with LLM frameworks: LangChain, LlamaIndex, or equivalent; deep familiarity with GPT-4, Gemini, or LLaMA model families

● Proficiency with ML libraries: HuggingFace Transformers, PyTorch, or TensorFlow

● Experience building and operating RAG systems — vector databases (Pinecone, Weaviate, pgvector), embedding pipelines, and retrieval tuning

● Solid MLOps background: MLflow, BentoML, or similar; containerization (Docker/Kubernetes); cloud deployment on AWS or Azure

● Comfort with data pipelines and SQL — able to own data flow from source to model input

● Strong understanding of software engineering fundamentals: APIs, system design, version control (Git), and CI/CD

● Clear communicator — able to align on requirements with Product and explain system behaviour to non-technical stakeholders

● B.S. or M.S. in Computer Science, Software Engineering, Machine Learning, or equivalent practical experience

Nice to Have - Skills and Qualifications

● Experience with agentic AI systems — multi-step reasoning, tool orchestration, memory, and planning

● Fine-tuning or RLHF experience with open-source models (LLaMA, Mistral, or similar)

● Familiarity with NLP tasks: NER, classification, information extraction from unstructured text

● Knowledge of responsible AI practices — bias evaluation, safety testing, and model governance

● Computer vision or multi-modal model experience

● Contributions to open-source ML/AI projects

Email ID: [email protected]

Contact: (phone hidden)

📌 AI Ml engineer (Bengaluru)
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📍 Bengaluru