At Zensar Technologies, we are looking for talented and passionate AI Developers to join our dynamic team. As an AI Developer, you will play a crucial role in developing and implementing AI-powered solutions across various domains. Your expertise will be instrumental in driving our company's AI strategy and delivering innovative products and services to our clients.

Company Description Kata.ai is an Indonesian Conversational Artificial Intelligence company with a focus on creating technology to enhance the understanding of human conversations, improving the way humans collaborate with machines. Kata.ai’s Natural Language Processing (NLP) technology powers MultiPurpose chatbots (virtual customer service / virtual friend) for major corporations in Indonesia across different kinds of industries such as Unilever (FMCG), Telkomsel (Telco), Bank BRI (Financial Services), and Alfamart (Retail). The company’s proprietary Kata Bot Platform can be leveraged to create feature-rich chatbots on top of Kata.ai’s robust and scalable AI technology platform, ensuring company of any size can easily build their own chatbot on any messaging platform. With this platform, it is now possible for the business to focus on designing engaging interaction for their customers, while Kata.ai handles all the technology aspects of the chatbots. Established in 2015, the company has become a trusted partner for major corporations such as Microsoft, Accenture, and Line. In 2020, the company received Series-B funding from TransPacific Technology Fund and MDI Venture. Job Description You will design, build, and deploy production-grade AI systems — including LLM-powered conversational agents, RAG pipelines, NLP workflows, and voice AI integrations — to deliver intelligent, reliable, and measurable AI solutions for enterprise clients across government, financial services, healthcare, and telecommunications sectors — so that Kata's clients can automate customer interactions at scale with high accuracy, low latency, and strong business impact. Qualifications Qualifications & Education : - Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Computational Linguistics, or related field - Master's degree in AI/ML is a plus - Relevant certifications (GCP AI/ML, DeepLearning.AI, etc.) are advantageous Technical Skills : - LLM Integration: OpenAI GPT-4o, Anthropic Claude, Google Gemini, or open-source models (LLaMA, Mistral, Qwen) - AI Frameworks: LangChain, LlamaIndex, CrewAI, or similar agent/RAG orchestration frameworks - Prompt Engineering: System prompt design, few-shot prompting, chain-of-thought, structured output (JSON mode, function calling) - RAG Pipelines: Document chunking, embedding strategies, retrieval optimization, reranking - Vector Databases: Pinecone, Weaviate, Qdrant, or pgvector - Voice AI: LiveKit Agents SDK, STT integrations (Deepgram, Google Speech-to-Text, Whisper), TTS integrations (ElevenLabs, Google TTS) - Languages: Python (required); FastAPI for AI service exposure - Cloud: GCP or Azure for AI/ML workload deployment — Vertex AI, Azure OpenAI, Cloud Run - Evaluation Frameworks: RAGAS, DeepEval, custom eval pipelines, or LLM-as-judge approaches - Containerization: Docker; basic Kubernetes for deploying AI services - Monitoring: AI-specific observability — LangSmith, Langfuse, or custom logging for tracing LLM calls in production Experience Associate Level (1–2 years) - 1–2 years of professional experience in AI/ML engineering or software development with a strong AI focus - Hands-on experience building or integrating LLM-powered applications using OpenAI, Anthropic Claude, Google Gemini, or equivalent - Practical exposure to conversational AI or chatbot development — prompt engineering, intent handling, or dialogue flow design - Familiarity with RAG pipeline concepts — document ingestion, embedding, vector search, and retrieval - Experience with Python and at least one AI orchestration framework (LangChain, LlamaIndex, or similar) - Exposure to cloud platforms (GCP or Azure) for deploying AI/ML workloads Mid Level (3–5 years) - 3–5 years of experience in AI/ML or software engineering, with at least 2 years focused on production-grade LLM or GenAI systems - Proven experience designing and deploying RAG pipelines in production — including chunking strategies, embedding models, vector databases (Qdrant, Pinecone, Weaviate, or pgvector), and retrieval optimization - Hands-on experience building conversational AI systems for enterprise clients — chatbot, virtual assistant, or AI agent products in regulated industries - Demonstrated experience with Voice AI integrations — STT (Deepgram, Whisper, Google Speech-to-Text) and/or TTS (ElevenLabs, Google TTS) in a production environment, ideally with LiveKit Agents SDK or equivalent - Experience implementing AI evaluation frameworks (RAGAS, DeepEval, or custom eval pipelines) to measure and improve model quality - Experience with AI observability tooling — LangSmith, Langfuse, or custom LLM call tracing in production Additional Information We value a flexible working hour for our employees. The most important is we provide a learning experience in Conversational AI Industry.

We're Celonis, the global leader in Process Intelligence technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing AI, data and intelligence at the core of business processes - and for that, we need your help. Care to join us? Role Description - As a Senior Applied AI Engineer, you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers. This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers. Key Responsibilities: - Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value. - Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies. - Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders. - Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations. - Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments. - Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization. You might be a great fit if you... - have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles - enjoy translating business challenges into technical solutions - can communicate complex technical concepts to business and executive stakeholders - have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases. - demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos. - have some experience prototyping solutions with Python and modern AI frameworks - are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems - hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have). Nice to have (big plus): - Experience building or deploying generative AI applications - Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks - Industry experience in domains such as supply chain, finance, or operations What Celonis Can Offer You: - Pioneer Innovation: Work with the leading, award-winning process mining technology, shaping the future of business. - Accelerate Your Growth: Benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities. - Receive Exceptional Benefits: Including generous PTO, hybrid working options, company equity (RSUs), comprehensive benefits, extensive parental leave, dedicated volunteer days, and much more. Interns and working students explore your benefits here. - Prioritize Your Well-being: Access to resources such as gym subsidies, counseling, and well-being programs. - Connect and Belong: Find community and support through dedicated inclusion and belonging programs. - Make Meaningful Impact: Be part of a company driven by strong values that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future. - Collaborate Globally: Join a dynamic, international team of talented individuals. - Empowered Environment: Contribute your ideas in an open culture with autonomous teams. About Us: Celonis makes processes work for people, companies and the planet. The Celonis Process Intelligence Platform uses industry-leading process mining and AI technology and augments it with business context to give customers a living digital twin of their business operation. It’s system-agnostic and without bias, and provides everyone with a common language for understanding and improving businesses. Celonis enables its customers to continuously realize significant value across the top, bottom, and green line. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this video. Celonis Inclusion Statement: At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen. Your Privacy: Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process. Please be aware of common job offer scams, impersonators and frauds. Learn more here.

Ship features that enhance user skills with AI, architect prototypes for new interaction paradigms, define team technical direction, and build cross-functional relationships to influence product strategy and capability development.