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Senior Solutions Engineer (Full stack Developer)
Senior engineer designs, builds, and integrates enterprise solutions using AI/ML frameworks (e.g., PyTorch) and ERP systems, coordinating projects from design to deployment while ensuring on-time, on-budget delivery.
Senior ML/AI Engineer (LLM)
Build and operate an LLM-powered content generation pipeline with safety guardrails, RAG grounding, and image generation, deployed on AWS serverless services.
Data Engineer / AI Knowledge Systems Specialist
Build and maintain AI-ready knowledge systems by cleaning, structuring, and connecting client data for RAG chatbots and enterprise copilots using vector search and embeddings.
AI/ML Engineer - Multi-Agent Systems & Data Pipelines
Build AI-native workflows and scalable multi-agent systems using Node.js, Python, and LLM frameworks like LangGraph/LangChain.
AI / MLOps Engineer
Builds and deploys AI/ML models from prototype to production, focusing on MLOps pipelines, model monitoring, and scalable infrastructure for public-sector and energy clients using PyTorch, TensorFlow, and cloud platforms like AWS SageMaker.
SGunited Jobs Data & AI Platform Engineer
Build and maintain AI-powered document parsing pipelines using OCR, VLM, and RAG to extract, index, and retrieve structured data from PDFs, images, and videos for GenAI applications.
Data & AI Platform Engineer-
Build and maintain AI-powered document parsing pipelines, OCR/VLM systems, and RAG knowledge bases on Azure to extract and structure data from PDFs, images, and videos for GenAI applications.
Senior Data Engineer
Design and build scalable data pipelines, warehouses, and AI-driven automation for a mobility-focused tech company using Python, Airflow, dbt, and cloud platforms.
Senior Data Engineer Python | Hadoop | AI | Big Data
Build and maintain large-scale data pipelines and AI-ready platforms for a banking client using Python, Hadoop, Spark, and cloud tech to support ML, GenAI, and analytics.
Senior Full-Stack Engineer
Builds scalable web apps with Spring Boot, React.js, and AI integrations (OpenAI, LangChain) on AWS, while optimizing databases and mentoring junior engineers.
M40 - Full Stack Engineer (AI)
Builds and maintains a full-stack web app and integrates enterprise AI solutions using LLMs, RAG, and agentic frameworks in AWS.
Full Stack Engineer (AI & GenAI) (2 Year Contract)
Build and deploy enterprise AI applications using LLMs, agentic workflows, and cloud-native tech. Day-to-day work spans full-stack development with Python, Next.js, React, and AWS, plus GenAI integrations via LangChain and AWS Bedrock.
Senior Full-Stack Engineer
Builds scalable web apps with Spring Boot and React.js, integrates AI/LLM APIs, and deploys on AWS while optimizing databases like PostgreSQL and Redis.
M55 - Full Stack Engineer
Build and harden AI-enabled applications (chatbots, RAG, agents) from prototype to production, integrating Azure AI services and ensuring security, compliance, and observability.
Full Stack Engineer 0807-3
Build production-grade AI applications from prototypes, refactoring prototypes into secure, scalable solutions using Azure AI services, full-stack development, and responsible AI patterns.
Software Engineer Intern
Build and optimize AI agents for healthcare, focusing on speech tech, NLP, and LLM-based systems that power real-time voice interactions in hospitals.
Python Developer AI Systems, LLMs & RAG
Build and optimize Python-based AI applications using LLMs, RAG, and vector databases to power enterprise-grade intelligent automation for healthcare and other industries.
AI/ML Engineer — GenAI & Data Platforms
Build and deploy generative-AI features and agents using Python, LLMs, and cloud services; develop full-stack web apps with Django/Flask and CI/CD pipelines.
AI & Data - Forward Deployed AI Engineer, Manager
Build and deploy enterprise-grade AI systems for clients, leading from prototype to production with LLMs, RAG, agents, and MLOps in regulated environments.
AI & Data - Forward Deployed AI Engineer, Senior Manager
Senior AI engineer embeds and deploys enterprise-grade AI systems for clients, building LLM/RAG pipelines, agents, and ML models while navigating compliance and legacy systems.