Senior Software Engineer II – AI/ML

Job not on LinkedIn

November 4

Apply Now

Receive Emails with Similar Jobs

Delivery Solutions

WebsiteLinkedInAll Job Openings

eCommerce • Logistics • SaaS

Delivery Solutions is a digital fulfillment platform that empowers enterprises with a wide range of delivery and logistics services. Offering features such as same-day delivery, in-store and curbside pickup, hassle-free returns, and post-purchase tracking, it aims to enhance the customer experience. With advanced analytics and AI capabilities, the platform simplifies complex logistics, making it easy for retailers to connect their various sales channels through a unified API.

51 - 200 employees

Founded 2017

🛍️ eCommerce

☁️ SaaS

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development