{"id":2232995,"url":"https://alion.io/job/clarika-ai-engineer","title":"AI ENGINEER","company":{"id":2521124,"name":"Clarika","domain":"clarikagroup.com","url":"https://alion.io/company/clarikagroup","size_band":null,"is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"PeopleForce","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Data Augmentation","optional":false},{"name":"Hugging Face","optional":false},{"name":"JavaScript","optional":false},{"name":"Keras","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Stable Diffusion","optional":false},{"name":"Synthetic Data","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2026-10-10T22:43:47Z","employer_posted_date":"2026-10-10","last_verified_at":"2026-10-12T08:13:16Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"We are seeking a skilled and innovative AI Developer to join our team and contribute to cutting-edge projects in artificial intelligence. The ideal candidate will have at least 2 years of proven experience in AI projects and a deep understanding of Large Language Models (LLMs), Robotic Process Automation (RPA), and Generative AI. This role involves designing, implementing, and optimizing machine learning and deep learning solutions to solve complex business challenges.\nKey Responsibilities\nAI Development and Deployment:\nDesign, develop, and deploy AI models using state-of-the-art techniques in machine learning and deep learning.\n\nBuild scalable solutions leveraging LLMs and Generative AI for real-world applications.\n\nRPA Integration:\nDevelop AI-powered RPA workflows to automate repetitive tasks and enhance operational efficiency.\n\nIntegrate machine learning models into RPA pipelines for smarter decision-making.\n\nResearch and Prototyping:\nExplore and experiment with emerging AI technologies, focusing on LLMs and Generative AI models like GPT, DALL·E, or similar frameworks.\n\nCreate prototypes to validate new AI concepts and solutions.\n\nData Management:\nPreprocess and analyze large datasets to train and fine-tune AI models.\n\nImplement data augmentation and synthetic data generation techniques when necessary.\n\nCollaboration:\nWork closely with cross-functional teams, including product managers, data engineers, and software developers, to align AI solutions with business objectives.\n\nProvide technical guidance and mentorship to junior developers when required.\n\nPerformance Optimization:\nMonitor and optimize the performance of AI systems in production environments to ensure efficiency and reliability.\n\nAddress scalability challenges in machine learning pipelines.\n\nQualifications and Skills\nRequired Skills\nStrong knowledge of Large Language Models (LLMs) and their applications.\n\nExperience with Generative AI frameworks and tools (e.g., GPT, Stable Diffusion, DALL·E).\n\nProficiency in Robotic Process Automation (RPA) tools and their integration with AI solutions.\n\nUnderstanding of machine learning or deep learning techniques, algorithms, and frameworks.\n\nHands-on experience with libraries and frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face 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