{"id":2622562,"url":"https://alion.io/job/accuris-junior-ai-developer","title":"Junior AI Developer","company":{"id":11708,"name":"Accuris","domain":"accuristech.com","url":"https://alion.io/company/accuris","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Dayforce","truth_index":{"grade":"A","score":86,"open_postings":7,"ghost_share":0,"stale_share":0.571,"repost_share":0,"time_to_fill_p50_days":58,"computed_at":"2026-10-15T05:46:00Z"}},"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":12500,"max_usd":32000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Embeddings","optional":false},{"name":"Git","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-14T20:30:00Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-15T17:48:06Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Junior AI Developer\nBangalore, Hybrid\nAbout Accuris\nAccuris is a global information and technology company providing trusted data, intelligence, and workflow solutions to professionals across highly specialized industries. Our solutions empower engineers, researchers, and technical professionals to make informed decisions, improve productivity, and solve complex challenges.\nBy combining deep domain expertise with innovative technology, Accuris is transforming how technical information is accessed, understood, and applied.\nAbout the Role\nWe are looking for a curious and technically motivated Junior AI Developer to join our team and contribute to the development of AI-powered applications and intelligent product capabilities.\nIn this role, you will work with experienced developers, AI/ML specialists, and product teams to build, test, and integrate AI-driven solutions. You will gain hands-on exposure to machine learning concepts, large language models (LLMs), data processing, APIs, and AI application development.\nThe ideal candidate has a solid programming foundation, an interest in artificial intelligence, and the ability to learn and apply emerging technologies to practical business and product challenges.\nKey Responsibilities\nAI Application Development\nAssist in designing, developing, testing, and maintaining AI-powered applications and product features.\nSupport the integration of AI and machine learning capabilities into existing applications and workflows.\nWork with APIs and AI frameworks to build application features that use machine learning models or large language models.\nAssist in developing and maintaining prototypes, proof-of-concepts, and production-ready AI features under the guidance of senior team members.\nWrite clean, modular, maintainable code and follow established engineering practices.\nData Processing and Model Integration\nAssist in preparing, cleaning, transforming, and validating data for AI-related applications.\nSupport the implementation and evaluation of AI/ML models and model-powered services.\nExperiment with prompts, model configurations, and retrieval techniques to improve the quality and relevance of AI-generated outputs.\nAssist with retrieval-augmented generation (RAG), embeddings, vector search, or document-processing workflows where applicable.\nHelp evaluate AI outputs for accuracy, relevance, consistency, and reliability.\nTesting, Performance, and Responsible AI\nDevelop and execute tests for AI application functionality, integrations, and data-processing pipelines.\nHelp investigate issues related to model outputs, application performance, and system integrations.\nSupport the monitoring and improvement of AI solution quality, latency, and reliability.\nFollow practices for secure data handling, privacy, responsible AI usage, and protection against inappropriate or unreliable model outputs.\nDocument experiments, implementation decisions, test results, and technical findings.\nCollaboration and Continuous Learning\nCollaborate with software engineers, AI/ML specialists, QA engineers, and product managers.\nParticipate in code reviews, sprint planning, technical discussions, and knowledge-sharing sessions.\nKeep up with developments in AI, machine learning, LLMs, and AI application frameworks.\nLearn and apply new tools, technologies, and approaches based on evolving product and business requirements.\nKey Stakeholders\nAI/ML and Data teams\nSoftware Engineering and Product Development teams\nQuality Assurance and Testing teams\nProduct Management\nDevOps and Cloud Engineering teams\nCross-functional business stakeholders\nRequirements\nTechnical Skills\nWorking knowledge of Python and its use in application development or data processing.\nUnderstanding of programming fundamentals, data structures, algorithms, and object-oriented programming.\nBasic knowledge of machine learning concepts, model training or inference, and AI application use cases.\nFamiliarity with APIs, JSON, and integrating external services into applications.\nBasic understanding of data manipulation, preprocessing, and validation.\nFamiliarity with Git and standard software development practices.\nPreferred (Not Required)\nExposure to machine learning libraries such as scikit-learn, PyTorch, or TensorFlow.\nFamiliarity with LLMs, prompt engineering, AI APIs, or frameworks such as LangChain or LlamaIndex.\nBasic exposure to embeddings, vector databases, semantic search, or RAG architectures.\nFamiliarity with SQL, cloud platforms, notebooks, or data-processing pipelines.\nAcademic projects, internships, hackathons, or personal projects involving AI, machine learning, NLP, or generative AI.\nEducation & Experience\nBachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related discipline.\nFresh graduates and candidates with up to 2 years of relevant experience in software development, AI/ML, or data-oriented roles are encouraged to apply.\nEquivalent practical experience demonstrated through relevant projects may also be considered.\nWhat We're Looking For\nAnalytical Thinking and Technical Curiosity\nDemonstrates an interest in understanding how AI and machine learning systems work.\nCan break down technical problems into manageable steps and evaluate potential solutions.\nIs willing to experiment, learn from results, and refine approaches based on evidence.\nLearning Agility\nCan quickly understand new technical concepts and apply them to practical tasks.\nIs comfortable working with evolving tools, frameworks, and AI technologies.\nDemonstrates initiative in exploring new approaches while remaining receptive to guidance and feedback.\nCommunication and Collaboration\nCommunicates technical findings and implementation challenges clearly.\nWorks effectively with developers and non-technical stakeholders.\nCan document experiments, explain decisions, and collaborate constructively across teams.\nQuality, Ownership, and Responsible AI\nDemonstrates attention to detail and a commitment to building reliable solutions.\nUnderstands that AI-generated outputs require testing and validation.\nApproaches data handling, privacy, and AI implementation responsibly.\nTakes ownership of assigned tasks and follows through on agreed deliverables.\nWhy Join Accuris?\nContribute to the development of AI-powered capabilities within a global information and technology business.\nGain practical experience with AI application development and emerging technologies.\nCollaborate with experienced engineers and cross-functional product teams.\nBuild expertise at the intersection of software engineering, artificial intelligence, and real-world technical information.\nDevelop your career through hands-on projects, continuous learning, and exposure to evolving AI use cases.\nAccuris is an equal opportunity employer. We are committed to fostering an inclusive workplace where individuals from diverse backgrounds can contribute, grow, and succeed. 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