Company: PurpleMerit
4 LPA TO 8 LPA
Filling the google form mentioned below is mandatory
Experience: 2 - 5 Years
Notice Period
Location: Onsite (Banashankari, Bengaluru )
Pincode: 560085
Company Description
At PurpleMerit, we build smart software that helps businesses solve real problems with practical AI solutions. We focus on creating tools that make work easier, faster, and more reliable. Our specialty is in building intelligent, autonomous systems that transform how businesses operate and interact with technology. We believe in human-centered AI technology designed to empower people, inspire creativity, and unlock new possibilities across industries. Join us on our mission to redefine the horizon of AI and innovation, where your ideas become impactful realities. PurpleMerit: Innovate with purpose, lead with passion.
AI/ML Engineer Job Requirements
Experience & Hands-on Skills:
- 2–5 years of hands-on experience in AI/ML Engineering.
- Experience with Retrieval-Augmented Generation (RAG) systems, vector databases (FAISS, Pinecone, ChromaDB, Weaviate, Milvus, Qdrant), or autonomous agents.
- Hands-on experience integrating LLMs, vector databases, RAG pipelines, and AI-powered workflows.
- Evaluate, fine-tune, and optimize large language models (LLMs), embeddings, and retrieval systems to provide context-aware completions and insights.
- Prior experience fine-tuning models such as OpenAI, LLaMA, Mistral, Falcon is preferred.
- Strong Python programming skills and proficiency with ML frameworks like TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers.
- Experience with data processing tools such as Pandas, NumPy, and SQL.
- Solid expertise in relational and NoSQL databases, data modeling, indexing, and performance optimization.
- Experience working with vector databases and embedding models from OpenAI, sentence-transformers, Cohere, or HuggingFace.
- Familiarity with cloud platforms such as AWS (S3, Lambda, RDS, SageMaker), Azure, or GCP.
- Practical experience deploying production-ready AI applications with MLOps best practices, CI/CD pipelines, Docker, and Kubernetes.
Modeling & AI Architecture:
- Deep proficiency in AI model engineering including training, fine-tuning, optimizing, and quantizing LLMs and other deep learning architectures.
- Model evaluation and monitoring in production environments.
- Experience designing and implementing RAG pipelines and multi-agent orchestration systems.
- Familiarity with architectural frameworks like LangChain, LlamaIndex, Haystack, LangGraph, AutoGen, CrewAI, Agno, or similar for AI agent development.
- Strong understanding of NLP, large language models, and transformer architectures.
- Knowledge of custom model fine-tuning techniques such as RLHF, LoRA, QLoRA, or PEFT.
- Ability to build, optimize, and deploy AI agents capable of autonomous task execution and intelligent decision-making.
Development & Deployment:
- Experience building scalable, production-ready backend systems using microservices and serverless architectures.
- Skilled in RESTful API design, microservices, and backend integration to support AI workloads.
- Experience with cloud-based AI platforms such as Azure AI Foundry, Azure OpenAI, Google AI (Gemini, Vertex), or similar.
- Familiarity with AI pipeline automation and DevOps automation related to AI deployment workflows.
- Ability to rapidly prototype AI-driven features and collaborate with product teams in an agile startup environment.
- Excellent problem-solving skills and ability to work independently and in teams.
- Strong communication skills in English, comfortable collaborating across cultures and time zones.
Preferred Skills:
- Experience with agentic AI technologies and frameworks including AutoGen, LangGraph, CrewAI.
- Exposure to Generative AI models including GANs.
- Understanding of AI ethics, safety, and privacy.
- Knowledge of reinforcement learning and advanced generative AI techniques.
- Strong expertise in NLP, Generative AI concepts, LangChain, other LLM frameworks, and conversational chatbots.
- Experience with deep learning projects using CNN, GAN, Transformers, Encoder and Decoder algorithms.
- Familiarity and real work experience with LLMs / SLMs such as OpenAI, Gemini, Claude.
- Experience with Agentic AI technologies like LangGraph, CrewAI, AutoGen.
- Proficiency in cloud platforms like GCP/AWS, including AI application deployments.
- Experience developing web applications using frameworks such as Flask, Django, FastAPI.
- Leveraging expertise in Generative AI, Python, Machine Learning, Data Science, and Statistics.
- Utilizing NLP techniques, LangChain, and LLMs for conversational chatbots and language models.
Tech Stack Highlights:
- Programming: Python (primary), frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers.
- AI Frameworks: LangChain, LlamaIndex, Haystack, LangGraph, AutoGen, CrewAI.
- Databases: PostgreSQL, MySQL, NoSQL, Vector DBs (Pinecone, FAISS, Weaviate, Qdrant).
- Cloud: AWS, Azure, GCP.
- Containerization & Orchestration: Docker, Kubernetes, CI/CD.
Note:
the probation period
Important Application Instructions:
To apply, filling out the application form linked below is mandatory. Only applications submitted through the form will be considered. Please ensure all relevant details are completed accurately to be shortlisted for the interview process.
Click here to apply:
https://forms.gle/eJpbmXu2K2b9R7xE6
PurpleMerit is proud to be an equal opportunity employer. We value diversity, encourage fresh perspectives, and are committed to building an inclusive environment for all employees.
Final Note
We’re seeking a true architect of agentic AI not generalists or casual learners, but passionate builders who have hands-on experience or a strong desire to build systems like AutoGPT, LangGraph, or ReAct-based agents
