Type of Employment: Full-time - Remote (India)
Department: Technology – AI/ML
Expected Start Date: ASAP or 1 Nov 2025
Job Description
We are seeking a highly skilled and intellectually curious AI/ML Engineer with 4+ years of hands-on experience in machine learning, NLP, and large language models (LLMs). The ideal candidate should be technically strong, deeply analytical, and an excellent communicator, capable of owning complex AI/ML initiatives end-to-end. You will work at the intersection of AI engineering, generative AI, and intelligent agent systems, leveraging modern AI tools, frameworks, and cloud platforms to design cutting-edge enterprise solutions.
Key Responsibilities
• Design, develop, and optimize AI/ML models (classical ML, deep learning, and LLM adaptation).
• Build and evaluate NLP and neural network architectures for summarization, classification, reasoning, and context understanding.
• Implement LLM use cases such as prompting strategies, fine-tuning, RAG (Retrieval-Augmented Generation), and guardrails.
• Develop and deploy agentic AI flows using frameworks like LangGraph, LangChain, ADK (Agent Development Kit), and LLM Mesh.
• Experiment with Claude Code Agent, RAF (Reasoning & Acting Frameworks), and MCP (Model Context Protocol) servers for orchestrated automation.
• Work with the latest development tools and ecosystems: IDEs (Cursor AI, Lovable, UV Python package), Databases (Supabase, vector DBs like Pinecone, FAISS, Weaviate), Generative AI & Orchestration (LangChain, agentic pipelines, prompt engineering).
• Deploy and optimize AI solutions on GCP/AWS ensuring scalability, reliability, and low latency.
• Collaborate with cross-functional teams to translate enterprise use cases into production-grade AI applications.
• Contribute to experimentation, benchmarking, documentation, and best practices in AI/ML development.
Required Skills & Experience
• 4+ years of proven experience in AI/ML model design and deployment.
• Strong proficiency in Python and latest libs trend like UV package etc
• Deep expertise in ML, NLP, neural networks, transformers, embeddings, and LLMs (prompting, fine-tuning, context handling).
• Practical experience with LangChain, LangGraph, ADK, and agentic AI frameworks.
• Hands-on experience using Cursor IDE, Supabase, and modern development environments (V0, Lovable, etc.).
• Understanding of data engineering workflows (ETL, data prep, structured/unstructured data management).
• Solid exposure to GCP/AWS cloud ecosystems and MLOps practices (CI/CD, deployment, monitoring).
• Strong analytical thinking, structured problem-solving, and excellent verbal and written communication skills.
Nice to Have (Preferred Skills)
• Experience with multi-agent systems, orchestration frameworks, and code agents.
• Prior experience in building enterprise-scale AI/ML and generative AI solutions.
• Familiarity with Claude, OpenAI APIs, LlamaIndex, vector databases, and LLM optimization techniques.
• Understanding of ethical AI, bias mitigation, and model interpretability practices.
• Exposure to MCP integration, LLM Mesh, and agentic architecture design.
