Full Stack Developer: Agentic Systems

Job Information Department Name Applied AI & Data Engineering Job Type Full time Industry Software Development Date Opened 19/06/2026 Minimum Experience In Years 4 Maximum Experience In Years 8 City Ramapuram Province Tamil Nadu Country India Postal Code 600089 About Us MulticoreWare is a global software solutions & products company with its HQ in San Jose, CA, USA. With worldwide offices, it serves its clients and partners in North America, EMEA and APAC regions. Started by a group of researchers, MulticoreWare has grown to serve its clients and partners on HPC & Cloud computing, GPUs, Multicore & Multithread CPUS, DSPs, FPGAs and a variety of AI hardware accelerators. MulticoreWare was founded by a team of researchers that wanted a better way to program for heterogeneous architectures. With the advent of GPUs and the increasing prevalence of multi-core, multi-architecture platforms, our clients were struggling with the difficulties of using these platforms efficiently. We started as a boot-strapped services company and have since expanded our portfolio to span products and services related to compilers, machine learning, video codecs, image processing and augmented/virtual reality. Our hardware expertise has also expanded with our team; we now employ experts on HPC and Cloud Computing, GPUs, DSPs, FPGAs, and mobile and embedded platforms. We specialize in accelerating software and algorithms, so if your code targets a multi-core, heterogeneous platform, we can help. Job Description About the Role We are looking for a Full Stack Developer: Agentic Systems to build the product layer for AI-native workflows. This role focuses on turning LLMs, agents, memory, and external tools into reliable, production-grade user experiences. You will design and ship systems where agents can plan, execute multi-step tasks, recover from failures, maintain context, and deliver consistent value across sessions. Responsibilities Build end-to-end product features across frontend, backend, and AI integrations Design agent workflows that support planning, tool use, failure handling, and recovery Integrate LLMs, memory, RAG systems, and external tools into production systems Build real-time AI interactions using streaming, partial results, and low-latency responses Improve reliability, observability, fallback logic, and production behavior of AI workflows Collaborate with ML, backend, product, and design teams to ship features from concept to production Iterate on AI workflows based on user behavior, evaluation results, and observed failure modes Establish reusable patterns for building scalable agentic systems Requirements Strong full stack engineering experience across frontend and backend development Solid understanding of system design, APIs, and production-grade architecture Experience building with LLMs, RAG systems, agents, or AI-powered applications Ability to work through ambiguity and make pragmatic engineering decisions Strong ownership mindset with experience taking features from idea to production Tech Stack & Skills Core Engineering Next.js, Node.js, Python SQL and NoSQL databases API design and backend architecture Docker AI & Agentic Systems LLM integration using OpenAI, Anthropic, or open-source models Agent workflows, tool use, memory, or RAG-based systems Streaming responses and real-time AI interaction patterns Agent frameworks: LangChain, LlamaIndex, CrewAI, AutoGen, or similar Vector databases: Pinecone, Weaviate, Qdrant, Milvus, or pgvector Production & Reliability Observability, reliability, fallback handling, and debugging in production Experience with evaluation frameworks for LLM or agent performance Experience with workflow orchestration systems Nice to Have Familiarity with prompt engineering, retrieval strategies, and context management Experience building AI products beyond chat-based interfaces