Position: AI/ML Engineer
Employment Type: Full-Time
Location: Bangalore / Hyderabad / Pune / Chennai
Job Mode: Work From Office
Notice Period: Immediate Joiner
About the Role
We are seeking an AI/ML Engineer with expertise in Full-Stack Software Engineering and Applied AI to design, build, and optimize Generative AI-powered applications. The role involves developing scalable AI solutions, integrating LLMs into enterprise applications, implementing agentic workflows, and delivering secure, production-grade solutions that drive business value.
Key Responsibilities
- Develop AI-powered features such as chatbots, summarization, knowledge search, and data extraction using LLMs.
- Design and implement RAG solutions, including data preprocessing, embeddings, vector search, and retrieval optimization.
- Build and integrate AI services using OpenAI, Azure AI, and open-source LLMs.
- Develop agentic AI workflows, multi-agent frameworks, and intelligent automation solutions.
- Improve model performance, reliability, and accuracy through prompt engineering, evaluation, guardrails, and fine-tuning.
- Work with vector databases such as FAISS, Pinecone, and pgvector.
- Optimize AI applications for latency, throughput, scalability, and cost efficiency using caching, batching, quantization, and model optimization techniques.
- Collaborate with product, data, and engineering teams to deliver high-quality AI solutions.
- Participate in architecture discussions, code reviews, and knowledge-sharing initiatives.
Required Qualifications
- Bachelors or Master’s degree in Computer Science, Engineering, AI, or a related field.
- 4 to 10 years of experience in Applied AI, Machine Learning, Software Engineering, and Digital Transformation.
- Strong experience designing and deploying enterprise-scale AI solutions using Generative AI, LLMs, AI Agents, and Intelligent Automation.
- Proficiency in Python (mandatory); Java and React JS preferred.
- Hands-on experience with PyTorch, SQL, OpenAI APIs, FastAPI, Flask, Streamlit, REST APIs, Docker, and modern application architectures.
- Strong understanding of machine learning fundamentals, deep learning, statistics, optimization, feature engineering, and model development.
- Experience with NLP/NLU, semantic search, transformer architectures, embeddings, and model interpretability.
- Knowledge of Azure, AWS, and GCP cloud AI services.
- Ability to communicate technical AI concepts effectively to business and leadership stakeholders.
Preferred Skills
- Experience with MLOps, React JS, Java Backend, CI/CD for ML, model monitoring, lifecycle management, Kubernetes, Docker, and JFrog.
- Experience deploying ML models to production environments.
- Knowledge of distributed ML and scalable data platforms such as Spark.
- Experience with multimodal AI, including Computer Vision and Speech Recognition (ASR).
- Knowledge of AI governance, Responsible AI, security, compliance, and model lifecycle management.
- Experience in healthcare, life sciences, payer/provider, or other regulated industries.
- Experience leading Agile teams and collaborating with cross-functional stakeholders.