Senior AI Engineer in India at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Engineer based in India.

This role sits at the forefront of generative AI innovation, focusing on building and scaling production-grade LLM-powered systems that enable intelligent, real-time user experiences. You will design and deliver advanced AI solutions such as copilots, conversational agents, and automation workflows that operate at enterprise scale. The position requires deep technical ownership across the full AI lifecycle, from architecture and model integration to deployment and optimization. You will work on cutting-edge RAG systems, agentic frameworks, and AI orchestration layers built on enterprise data. The environment is highly collaborative, involving close work with product, platform, and security teams to define AI strategy and standards. This is a high-impact role where engineering excellence meets applied AI innovation in large-scale production systems.

• Architect, design, and develop production-grade LLM applications including copilots, chatbots, and autonomous AI agents.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines using structured and unstructured enterprise data sources.
• Develop agentic workflows with tool calling, function execution, and multi-step reasoning capabilities.
• Design and maintain backend services and APIs supporting AI inference, orchestration, and system integration.
• Implement LLMOps/GenAIOps practices including evaluation frameworks, monitoring systems, CI/CD pipelines, and model/version management.
• Optimize AI systems for performance, ensuring the right balance of latency, cost efficiency, scalability, and reliability.
• Apply Responsible AI principles and security-by-design practices across all AI system implementations.
• Collaborate with cross-functional teams including product, engineering, and security to shape AI architecture and strategy.
• Mentor engineering peers and contribute to establishing best practices in generative AI system design.

Requirements:

• 10+ years of professional software engineering experience with strong backend development expertise.
• Advanced proficiency in Python, with experience in frameworks such as FastAPI, Django, and modern backend systems.
• Hands-on expertise in LLM engineering, including prompt engineering, RAG architectures, and APIs such as OpenAI or Amazon Bedrock.
• Strong experience with Elasticsearch, including vector search, hybrid search (BM25 + embeddings), and semantic retrieval techniques.
• Proficiency with vector databases such as Pinecone, Qdrant, or ChromaDB and embedding-based retrieval systems.
• Proven experience building production-grade generative AI systems, including Copilot-style or agent-based applications.
• Strong understanding of distributed systems, microservices, event-driven architecture, and scalable backend design.
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines.
• Familiarity with LLMOps and MLOps practices in production environments.
• Strong communication skills and ability to collaborate with technical and non-technical stakeholders.
• Experience operating AI systems at scale and exposure to enterprise-grade reliability requirements is highly desirable.

Benefits:

• Opportunity to work on cutting-edge generative AI systems deployed at enterprise scale.
• Remote-first flexibility within India-based work arrangements.
• Exposure to advanced AI architecture, LLMOps practices, and modern distributed systems.
• High-impact role with ownership over end-to-end AI system design and delivery.
• Collaborative environment working with cross-functional AI, product, and platform teams.
• Career growth in a fast-evolving AI engineering landscape with strong technical challenges.
• Inclusive and innovation-driven culture focused on continuous learning and experimentation.