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Job Information Department Name Applied AI & Data Engineering Date Opened 19/06/2026 Job Type Full time Minimum Experience In Years 4 Industry Software Development Maximum Experience In Years 8 City Chennai 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 - Solid 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 .
Here's where they are and how to stand out in your next interview.
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Most developer ads you'll see are written in English: 18,397 of the 24,795. That doesn't tell you whether the job itself requires you to speak English or work in English daily, so read each posting carefully. Don't assume the language of the ad matches the language of the team.
The employers posting the most developer roles are Link Group (369 jobs), Upvanta (257), jobgether (226), and OfferZen (212). If you're applying to any of these, research their hiring patterns. They move fast and post often, which means they're either scaling hard or replacing people who didn't fit.
In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.