Senior AI Engineer - Remote

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior AI Engineer - Remote in India.

We are seeking a highly skilled Senior AI Engineer to drive the design, development, and deployment of scalable AI systems within a leading integration and automation platform. This role involves working with LLMs, RAG frameworks, cloud AI services, and advanced data pipelines to build robust, distributed, and high-performance AI applications. You will collaborate with cross-functional teams across engineering, product, and operations to translate complex business requirements into reliable AI-driven solutions. The position offers the opportunity to innovate with cutting-edge technologies, mentor junior engineers, and contribute to a globally distributed, remote-first environment focused on automation and cloud-scale solutions. Ideal candidates are hands-on, technically versatile, and passionate about shaping the future of AI in enterprise systems.

Accountabilities

• Design, develop, and maintain large-scale, distributed AI systems and applications.
• Implement and optimize AI capabilities, including LLM-based solutions, RAG pipelines, and NLP tools.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Mentor and support junior engineers, promoting best practices in AI development and cloud architecture.
• Participate in architecture design, code reviews, and solution validation to ensure robustness, scalability, and reliability.
• Develop and maintain cloud-native, multi-tenant SaaS applications with high availability.
• Stay current with emerging AI technologies, cloud frameworks, and integration patterns.
• Support CI/CD pipelines, containerized deployments, and infrastructure-as-code practices.

Requirements

• 10+ years of experience in building cloud-based, distributed applications.
• Strong experience with AI technologies, including LLMs, RAG, LangChain, and LlamaIndex.
• Expertise in Python and Java, including NLP libraries (spaCy, NLTK, Hugging Face Transformers).
• Hands-on experience with model deployment frameworks (TensorFlow Serving, MLflow, Kubernetes).
• Proficiency in cloud platforms (AWS, Azure) and services for AI/ML integration.
• Experience with microservices, SaaS architectures, data pipelines, and top-tier datastores (MongoDB, SQL Server, MySQL).
• Strong understanding of Linux, Docker, Kubernetes, Apache Tomcat, Nginx, and CI/CD tools.
• Familiarity with security best practices in cloud/distributed systems and infrastructure as code (Terraform, CloudFormation).
• Excellent problem-solving, debugging, and analytical skills.
• Strong communication skills in English (C1 level) and ability to work effectively in a remote, distributed team environment.

Benefits

• Competitive salary and performance incentives.
• Fully remote, flexible work environment.
• Career growth, mentorship, and access to cutting-edge AI technologies.
• Collaborative, high-performance team culture with focus on innovation.
• Health insurance and standard employee benefits.
• Opportunities to work on industry-leading AI platforms with global impact.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!

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