Senior AI/LLM Engineer

Job Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior AI/LLM Engineer - Agentic Systems in India. As a Senior AI/LLM Engineer, you will be at the forefront of designing and building intelligent, self-directed AI agents that transform how enterprises leverage AI. You will work in a highly collaborative, fast-paced environment alongside architects, developers, and cross-functional teams to create scalable, cloud-native AI solutions. This role involves technical leadership, mentoring junior engineers, and contributing to architecture, integration, and deployment of advanced AI-driven systems. You will also explore and implement cutting-edge generative AI tools, vector databases, and autonomous agent frameworks, ensuring high-performance and secure solutions. The position offers the opportunity to work on innovative projects, influence technical direction, and drive impactful AI initiatives across diverse domains. Accountabilities - Collaborate with technical owners, architects, and external teams to design robust AI architectures and define technology stacks - Lead the development and deployment of AI-driven agents and custom Model Context Protocol (MCP) implementations - Evaluate multiple technical approaches, document findings, and guide team decisions on best practices - Define integration requirements, establish standards, and ensure solutions follow cloud-native and industry best practices - Troubleshoot production issues, optimize performance, and maintain high-quality software standards - Mentor junior developers, conduct code reviews, and promote knowledge sharing within the team - Maintain comprehensive documentation of technical decisions, project artifacts, and development processes Requirements - 9+ years of experience in software engineering with strong proficiency in Python and Java - Hands-on expertise in AI/ML libraries and frameworks, with experience in developing autonomous AI agents - Proven experience in chatbot development, intelligent automation, and AI-driven solutions - Familiarity with generative AI frameworks such as LangChain, Hugging Face, and OpenAI APIs - Strong cloud development experience in Azure, AWS, or GCP, with knowledge of Kubernetes, Docker, and cloud infrastructure best practices - Proficiency in RESTful APIs, GraphQL, microservices, and database technologies (NoSQL, CosmosDB, MongoDB, PostgreSQL) - Working knowledge of front-end frameworks like Node.js, React, with Angular or Vue.js as a plus - Expertise in vector databases, RAG techniques, and building custom MCP servers - Strong leadership, problem-solving, and analytical skills; ability to work independently and collaboratively - Passion for staying current with AI industry trends and emerging technologies Benefits - Competitive salary and performance-based incentives - Opportunities to work on cutting-edge AI and LLM projects - Remote work options and flexible hours to support work-life balance - Collaborative and innovative work environment with mentorship and growth opportunities - Access to learning resources and professional development programs - Health and wellness benefits, including comprehensive insurance coverage 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 assessments) are then made by their internal hiring team. Thank you for your interest