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Job Description
Structured overview of role & requirementsAbout This Role
Architect and develop LLM-based AI applications including copilots, chatbots, and agentic workflows with tool/function calling and multi-step reasoning.
Own backend AI inference services, APIs, and drive GenAIOps/LLMOps practices like evaluation, monitoring, CI/CD, and versioning.
Optimize AI systems focusing on quality, cost, latency, reliability and advocate Responsible AI and security-by-design principles.
Minimum Requirements
6+ years professional software engineering experience.
Strong development skills in Python, FastAPI, Django and modern backend frameworks for AI services.
Hands-on experience with LLM engineering including LangChain, RAG architectures, prompt engineering, and Elasticsearch vector/hybrid search.
Experience with distributed systems, microservices, event-driven patterns, cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines.
Location: Remote, India.
Ideal Candidate Profile
Proven ability to build production-grade, low-latency, scalable AI and LLM systems with backend-focused architecture skills.
Experienced in building complex agent-based, conversational AI with strong foundation in tool integration and multi-step reasoning.
Familiarity with AI engineering best practices including mentoring peers, driving AI strategy, and balancing speed, quality, and risk in enterprise environments.