Senior Software Engineer, Full Stack - AI

We are seeking a Full Stack Software Engineer to design, build, and scale AI-enabled products that integrate Large Language Models (LLMs) into core business workflows. This role is focused on end-to-end product development—from frontend experiences to backend services and AI integrations—delivering secure, scalable, and production‑grade solutions. You will work closely with Product, Design, Platform, and Data/AI partners to turn complex requirements into reliable, high‑impact software.

• Opportunity to work on AI-first product development, embedding LLM capabilities into real‑world applications
• Ownership of full‑stack delivery in a modern, cloud‑native engineering environment
• Collaboration with senior engineers, architects, and AI platform teams
• Exposure to internal AI platforms, agentic frameworks, and GenAI enablement initiatives
• Strong engineering culture emphasizing design quality, scalability, and operational excellence

• Design, develop, and maintain end‑to‑end web applications, including frontend UI, backend services, and data layers
• Build scalable, well‑structured APIs and service integrations
• Translate product and business requirements into high‑quality technical solutions
• Contribute to system design discussions and architectural decisions
• Build reusable data transformation logic using SQL and Python, and partner with analytics and product teams to deliver business‑ready datasets.
• Own features through the full development lifecycle: design → build → deploy → operate

• Develop and integrate LLM‑powered capabilities such as chat interfaces, content generation, summarization, or decision support
• Implement retrieval‑augmented generation (RAG) and context management patterns where applicable
• Work with internal AI platforms or approved LLM APIs to ensure consistency and compliance
• Optimize LLM usage for latency, cost, and quality tradeoffs
• Collaborate with AI platform teams on model integration patterns and best practices

• Deploy and operate services in cloud environments using modern Dev Ops practices
• Implement observability (logging, metrics, tracing) to ensure production reliability
• Improve performance, scalability, and resilience of existing systems
• Participate in incident resolution and root‑cause analysis for production issues

• Build AI‑enabled features that comply with internal security, data handling, and AI governance standards
• Contribute required technical documentation for AI‑enabled systems
• Ensure responsible use of LLMs, especially when handling proprietary or sensitive data

• 7+ years of experience designing and developing distributed application architecture of moderate‑to‑high complexity.
• 3+ years in software engineering or applied ML building real‑world AI/ML systems; strong Python proficiency and backend development expertise
• Hands‑on experience building GenAI apps with Lang Chain and Lang Graph, including agent design, state/memory management, and graph‑based orchestration.
• Proficiency in ML/NLP and generative models; experience with embeddings, vector stores, RAG, and LLM integration/fine‑tuning (OpenAI, LLaMA, Cohere, etc.)
• Strong coding in Python and experience with frameworks/tools such as FastAPI, PyTorch/Tensor Flow, MLflow;
• 3-5+ years of experience in designing and developing scalable web applications using modern front‑end frameworks such as React/Type Script.
• Hands‑on experience with modern data platforms and cloud environments (e.g., Snowflake, Databricks, AWS and/or Azure).
• Experience building and operating data pipelines, including batch and streaming patterns, with orchestration tools such as Airflow, ADF, or Dagster.
• Experience working in high‑performance teams using Agile methodologies.
• Experience with CI/CD concepts and implementing build and deployment pipelines incorporating Security, Automation and Quality (Dev Sec Ops ).
• Familiarity with modern data architecture and engineering technologies
• Excellent communication skills with ability to articulate ideas clearly and concisely.

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