{"id":1097900,"url":"https://alion.io/job/version-1-technical-lead-2","title":"Technical Lead","company":{"id":4010,"name":"Version 1","domain":"version1.com","url":"https://alion.io/company/version1","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":11,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16500,"max_usd":34000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":52},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Git","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Snowflake","optional":false},{"name":"CrewAI","optional":true},{"name":"JavaScript","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Semantic Kernel","optional":true},{"name":"Tokenization","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-09-21T10:15:54Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-10-11T23:24:02Z","board_verified":true,"closed_at":null,"days_open":20,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":20},"description":"Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services.\nWe’re an award-winning employer reflecting how our employees are at the very heart of what we do:\nUK & Ireland's premier AWS, Microsoft & Oracle partner\n\n3300+ strong, €350/£300m revenue business\n\n10+ years as a Great Place to Work in Ireland & UK\n\nBest Workplace for Women in the UK & Ireland by GPTW\n\nBest Workplace for Wellbeing in the UK by GPTW\n\nWe’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you!.\n We are looking for an experienced AI Technical Lead with 10+ years of software engineering experience and strong expertise in Python, and AI-powered application development, Generative AI, LLMs, and agentic AI solutions. Experience with React-based front-end development and AWS cloud technologies would be advantageous.\nThe ideal candidate will have a proven track record of leading engineering teams, architecting scalable solutions, and delivering modern AI-enabled applications leveraging Large Language Models (LLMs), Generative AI, and cloud-native technologies.\nThe successful candidate will provide technical leadership across the full software development lifecycle, mentor developers and AI engineers, collaborate with cross-functional stakeholders, and drive innovation through the adoption of AI and modern engineering practices.\nKey Responsibilities\nLead the design, development, and maintenance of scalable, high-performance applications using React, Python, and AWS.\n\nArchitect and deliver AI-powered solutions leveraging Generative AI, LLMs, Retrieval-Augmented Generation (RAG), and agent-based workflows where appropriate.\n\nMentor and guide developers and AI engineers, promoting engineering excellence and best practices.\n\nCollaborate with business and technology stakeholders to understand requirements and translate them into innovative technical solutions.\n\nConduct architecture reviews, code reviews, unit testing, and integration testing to ensure quality, performance, and maintainability.\n\nDesign and implement RESTful APIs and backend services using Python and modern software engineering practices.\n\nIntegrate AI services, cloud platforms, enterprise systems, and external APIs into business applications.\n\nOptimize application performance and troubleshoot complex production issues.\n\nStay current with emerging AI technologies, software engineering trends, and cloud-native best practices.\n\n Qualifications\nBachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).\n\n10+ years of experience in software engineering, with experience in a Technical Lead or Lead Developer role.\n\nExpert-level Python development\n\nExperience designing and developing REST APIs and microservices.\n\nExperience with AWS cloud services, application architecture, and modern DevOps practices.\n\nUnderstanding of Object-Oriented Analysis and Design (OOAD), design patterns, and software engineering best practices.\n\nStrong problem-solving, communication, stakeholder management, and leadership skills.\n\nTechnical Skills\nAI & Machine Learning\nExperience with Generative AI and Large Language Models (LLMs).\n\nExperience developing AI-powered applications and intelligent automation solutions\n\nHands-on experience with Agentic AI frameworks and multi-agent systems\n\nExperience with Retrieval Augmented Generation (RAG), vector databases, embeddings, and semantic search technologies\n\nUnderstanding of prompt engineering, prompt optimisation, and AI evaluation techniques\n\nExperience integrating AI services into enterprise applications.\n\nProgramming & Engineering\nPython\n\nReactJS\n\nREST APIs\n\nGit\n\nCI/CD\n\nDistributed systems design\n\nCloud & Platform\nAWS (EC2, S3, Lambda, API Gateway, Bedrock, SageMaker or similar services)\n\nContainerization using Docker\n\nKubernetes (desirable)\n\nDesirable Skills\nExperience with ReactJS, TypeScript, JavaScript, HTML5, and modern front-end development frameworks\n\nExperience with AWS cloud services, including EC2, S3, Lambda, API Gateway, Bedrock, SageMaker, or equivalent cloud technologies.\n\nFamiliarity with AI orchestration frameworks such as LangChain, LangGraph, CrewAI, Semantic Kernel, or similar technologies\n\nExperience with Docker, Kubernetes, CI/CD pipelines, and cloud-native architectures.\n\nHands-on experience with AWS AI services such as Bedrock, SageMaker, or related AI platforms.\n\nExperience with vector databases, knowledge retrieval systems, and AI evaluation frameworks.\n\nExperience with Docker, Kubernetes, and cloud-native architectures.\n\nExperience mentoring teams and driving technical strategy across multiple projects.\n\nFamiliarity with digital assets, financial technology (FinTech), trading platforms, tokenization, blockchain ecosystems, or related financial services domains is desirable\n\nWhy Version 1?\nAt Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability.\nShare in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits\n\nStrong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme\n\nFlexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance\n\nFinancial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme\n\nEmployee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies\n\nEducational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat\n\nReward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform.\n\nEnvironment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes.\n\nAnd many more exciting benefits… drop us a note to find out more.\nVersion 1 is an equal opportunities employer.\nWe are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring including those shaped by disability and neurodiversity.\nWe want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process, please contact your recruiter at Version 1. 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