Cybotic System is an AI-powered solutions company offering a range of business services to give clients a competitive edge by combining artificial intelligence and human skills. They are strategically located globally to provide localized experiences. Their core offerings include recruitment, custom development, remote accounting services, and virtual assistant services. Cybotic System emphasizes the use of AI in all its services to optimize delivery, with internally designed AI applications that boost productivity and generate savings for clients. They also highlight their team of professional and seasoned recruiters who understand client needs and manage the entire recruitment journey from sourcing to onboarding. Their technology-based recruitment approach uses AI to automate tasks like resume screening and candidate sourcing, accelerating the process and ensuring accuracy. They serve various industries including Accounting, Engineering, Information Technology, Manufacturing, Healthcare, BSFI, Retail, Technology, Hospitality, and Pharmaceutical.
Cybotic System is an AI-powered solutions company offering a range of business services to give clients a competitive edge by combining artificial intelligence and human skills. They are strategically located globally to provide localized experiences. Their core offerings include recruitment, custom development, remote accounting services, and virtual assistant services. Cybotic System emphasizes the use of AI in all its services to optimize delivery, with internally designed AI applications that boost productivity and generate savings for clients. They also highlight their team of professional and seasoned recruiters who understand client needs and manage the entire recruitment journey from sourcing to onboarding. Their technology-based recruitment approach uses AI to automate tasks like resume screening and candidate sourcing, accelerating the process and ensuring accuracy. They serve various industries including Accounting, Engineering, Information Technology, Manufacturing, Healthcare, BSFI, Retail, Technology, Hospitality, and Pharmaceutical.
As an Full Stack Engineer within the Digital department, you will be responsible for designing, building, and deploying advanced AI solutions. These include chatbots, intelligent agents, and agentic workflows that utilize state-of-the-art large language model (LLM) APIs such as OpenAI, Anthropic, and Google Gemini. Your work will involve integrating retrieval-augmented generation (RAG), multimodal LLMs, and document understanding to address real-world challenges in renewable energy and industrial settings. Additionally, you will be tasked with training and deploying classical machine learning models that predict events and identify root causes of failures in factory environments.
Key Responsibilities
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Conversational AI & Agent Orchestration: Develop robust chatbots and agentic systems using LLMs (OpenAI, Anthropic, Gemini). Implement retrieval-augmented generation (RAG), vector search, and multimodal pipelines to deliver reliable, high-quality user experiences.
Backend APIs & Model Serving: Deploy production-grade APIs and web services that serve ML/LLM models and chatbots utilizing FastAPI or Node/Express. Implement OpenAPI/Swagger, OAuth/OIDC authentication, and pagination.
Frontend UX: Create lightweight front ends using modern frameworks (React, Next.js, Angular, or Streamlit) to demo, operate, and monitor AI features, including dashboards, chat user interfaces, forms, and simple admin tools.
Document Intelligence & Multimodal Extraction: Build tools for multimodal extraction and analysis of complex documents such as PDFs and engineering drawings (P&IDs, electrical schematics), delivering structured and actionable outputs.
Cloud DevOps & Productionization: Deploy solutions to production using CI/CD practices, containerize services, and integrate with data sources and enterprise systems. Ensure reliability, scalability, and cost efficiency.
MLOps Observability & Quality: Monitor latency, accuracy, and cost metrics. Implement observability, prompt/response logging, evaluations, and automated regressions to maintain high quality.
Model Tuning, Training & Evaluation: Fine-tune and perform few-shot learning with LLMs, train supporting models (classification, OCR, extraction), build datasets, conduct experiments, compare checkpoints, and document results.
Required Skills
At least 1 year of hands-on experience building and deploying generative AI products such as chatbots, agents, or agentic workflows
Minimum 4 years of professional software engineering experience
Bachelor’s degree in Computer Science, Statistics, or a related field
Strong proficiency in Python and experience with OpenAI, Anthropic, or Google Gemini APIs
Proven ability to develop production APIs and web services using FastAPI, Flask, Django, or Node/Express
Working knowledge of front-end fundamentals (HTML, CSS, JavaScript) and experience with at least one modern framework (React, Next.js, Angular, or Vue) for delivering basic UIs
Solid foundation in software engineering best practices including Git, code review, testing, CI/CD, and experience with cloud platforms (AWS, GCP, Azure)
Strong communication skills and ability to address open-ended, ambiguous problems
Preferred Skills
PhD or Master’s degree in Computer Science, Statistics, or a related field
Over 2 years of industrial experience in Generative AI and Machine Learning
Experience with LangChain, LlamaIndex, orchestration frameworks, and tool-use/agents
Practical expertise in retrieval-augmented generation (RAG), embeddings, and vector databases (such as FAISS, Pinecone, Weaviate, pgvector)
Familiarity with industrial control systems, including PLCs and SCADA
Experience in renewable energy, manufacturing, or industrial automation sectors
Knowledge of MLOps practices including Docker/Kubernetes, model packaging, feature/vector stores, evaluations, tracing/observability
