Data & Integration Engineer (AI & Automation)

Senior Gen AI Engineer

Sr AI Engineer

Senior AI Engineer

You will design, develop, and deploy production-grade AI solutions to create measurable business value across Danaher operating companies. You will collaborate with multidisciplinary teams to industrialize AI and build scalable, reusable AI services and workflows.

Lead AI Engineer - 2.00 pm to 11.00 pm IST (Remote, IND)

Lead the engineering delivery of agentic AI solutions and intelligent workflows within the GTM technology stack. Design and optimize scalable AI architecture, including RAG systems and autonomous agents, while mentoring senior and mid-level engineering staff.

Lead/Sr AI Engineer with Azure Data Bricks || Immediate Joiner

Lead AI Engineer || Immediate Joiner

Agentic AI Engineer

Principal AI Engineer

AI Engineer ( Freelancer/Consultant)

AP - Senior AI Engineer (India) - Remote

Generative AI Engineer

Senior UI/UX Design Engineer (AI First, Healthcare)

Senior Python, Cloud Infrastructure & AI Engineer

You will develop and maintain Python applications while managing AWS cloud infrastructure and CI/CD pipelines. The role involves improving system reliability and utilizing AI-assisted tools to deliver secure, high-quality software.

Senior Full-Stack Software Engineer, AI & Data

Design and ship end-to-end internal tools, services, and interfaces while integrating AI capabilities like LLMs and RAG. Collaborate across business teams to build scalable solutions that automate workflows and improve operational efficiency.

Senior AI Engineer (Generative AI & Agentic Systems)

Design, build, and deploy production-grade Generative AI and Agentic AI solutions to automate complex business processes. Collaborate with cross-functional teams to integrate LLM-powered applications with enterprise systems while ensuring scalability and performance.

ServiceNow Lead Engineer - AI

The Lead Engineer will spearhead AI/ML development efforts, designing and deploying Agentic AI solutions within the ServiceNow ecosystem. They will also mentor a team of developers while managing complex projects across cloud platforms and big data environments.

Senior Applied AI Engineer - India / Remote 15 applicants

Design and build AI-powered capabilities for cloud and SaaS cost optimization, including anomaly detection and forecasting models. Develop and fine-tune autonomous agents and evaluation frameworks to ensure high-quality, explainable, and reliable system performance.

Lead Software Engineer - AI Automation

Design and build production-grade AI automations by integrating Python, REST APIs, and Large Language Models into operational workflows. Manage the full lifecycle of these systems, from technical design and development to deployment, monitoring, and hand-off to operations teams.

Applied AI Engineer, Life Sciences

You will build production-grade AI systems and workflows tailored for pharmaceutical, medical, and patient-centric applications. This involves designing retrieval systems, developing evaluation frameworks, and collaborating with domain experts to translate complex scientific workflows into technical solutions.

Full Stack AI Engineer( 5+ years) 11 applicants

Design, develop, and maintain full-stack Generative AI applications while building robust backend systems and APIs. Collaborate with cross-functional teams to integrate LLMs and deploy scalable, production-ready AI solutions.

Full-Stack AI Engineer

You will own the AI intelligence behind the Audrey teaching companion, including retrieval, generation, and logic systems. You will also work across the full stack to integrate these AI features into the product while collaborating with engineering teams to ensure reliability and scalability.

AI Engineer — LLM / VLM 12 applicants

Develop and deploy production-grade AI applications using LLMs and VLMs, including RAG pipelines and multimodal workflows. Optimize inference performance and collaborate with cross-functional teams to transition prototypes into production environments.

AI Engineer / AI Software Engineer-Task Creator (RL Environments) (Contract) 11 applicants

Design and implement realistic multi-step scenarios for AI agents to execute on a Linux desktop environment. Write Python scripts to set up these environments and develop automated scoring mechanisms to evaluate agent performance.

AI Architect / Sr. AI Engineer 11 applicants

You will lead the integration of Large Language Models using orchestration frameworks like LiteLLM and direct API connections to Claude. Additionally, you will build scalable backend services with Django and collaborate on frontend features to deliver AI-driven user experiences.

Applied AI Engineer - India

You will own the production improvement loop for AI agents, including experimentation, evaluation, and monitoring of agent behavior. You will also design and ship targeted improvements to prompting, decision logic, and tool use to ensure reliable business outcomes.

Lead Salesforce Full Stack AI Engineer

Design, build, and maintain full-stack features while leveraging AI-assisted tools to streamline revenue processes and platform architecture. You will own features through the full lifecycle, from solution design and development to deployment and production support.

Senior Agentic AI Engineer

Design and build autonomous AI agents capable of tool use, memory, and complex multi-step task execution. Develop scalable backend services and observability frameworks to ensure reliability, performance, and quality of AI systems.

Senior AI Engineer, Legal - USA Remote

The Senior Legal Engineer designs, builds, and deploys AI-powered solutions to automate and transform legal and compliance workflows. This role involves partnering with legal stakeholders to architect scalable applications using LLMs, RAG, and agentic AI frameworks.

Applied AI Engineer

You will design and build scalable backend infrastructure to power AI agents while improving their reasoning, tool usage, and reliability in cybersecurity environments. You will also develop evaluation pipelines and feedback loops to measure agent performance and translate experimental improvements into production gains.