{"id":3083178,"url":"https://alion.io/job/avaloq-ai-engineer","title":"AI Engineer","company":{"id":5321,"name":"Avaloq","domain":"avaloq.com","url":"https://alion.io/company/avaloq","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":8,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":44,"computed_at":"2026-10-23T05:54:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17000,"max_usd":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":31},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"C++","optional":false},{"name":"CrewAI","optional":false},{"name":"JavaScript","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-22T12:37:32Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-23T04:49:58Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Writing the future. Together.\nAvaloq is a value-driven fast-paced fintech company and we are committed to develop the banking technology of tomorrow.\nLeading banks and wealth managers in all major financial centres rely on our software and services, and this unique community grows every day.\nYour Team\nWe are an international and multidisciplinary team providing infrastructure as code to run effectively on the public cloud our client SaaS product implementations lifecycle.\nWe believe our colleagues comes first, thinking different is an asset and innovation comes by putting customer experience at the centre of our design thinking.\nAs we expand our customer SaaS deployments, we are currently seeking experienced site reliability engineers (SREs) bringing fresh ideas, demonstrating a unique and informed viewpoint, and enjoying collaborating with a cross-functional team to develop reliable real-world solutions and positive user experiences at every interaction.\n Design, develop, and maintain AI-driven applications and solutions with a focus on reliability, scalability, and availability\nDevelop solutions using strong programming skills in Python, Java, C, C++, or JavaScript\nDesign and implement Agentic AI solutions using AI agents, workflow orchestration, and autonomous task execution\nIntegrate Large Language Models (LLMs) into applications, workflows, and enterprise solutions\nDevelop, test, and optimize prompts for reliable and effective LLM-based outcomes\nBuild and maintain AI workflows using orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar technologies\nDevelop and integrate APIs to connect AI solutions with enterprise applications, data sources, and external services\nCreate AI-driven automation solutions for repetitive tasks and business processes\nDesign and deploy cloud-native AI solutions on OCI and AWS\nTroubleshoot AI application, integration, and workflow issues and support incident resolution\nFollow software engineering and operational processes, including testing, version control, deployment, change management, and incident handling\n Experience from 4-11 years\nStrong programming skills in Python, Java, C, C++, or JavaScript\nStrong understanding of Agentic AI concepts, including AI agents, workflow orchestration, and autonomous task execution\nExperience working with Large Language Models (LLMs)\nPrompt Engineering\nExperience with AI orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or equivalent\nAPI integration and software engineering fundamentals\nAI-driven automation and solution development\nCloud-native AI solution development on OCI and/or AWS\n We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices.\nIn Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self.\nWe hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way.\nPlease be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.","description_format":"text","description_chars":3657,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All 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