{"id":3235878,"url":"https://alion.io/job/accenture-packagedsaas-application-engineer-84","title":"Packaged/SaaS Application Engineer","company":{"id":271,"name":"Accenture","domain":"accenture.com","url":"https://alion.io/company/accenture","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":2061,"ghost_share":0.001,"stale_share":0.125,"repost_share":0.005,"time_to_fill_p50_days":5,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","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":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":true},{"name":"Knowledge Distillation","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM","optional":true},{"name":"LLM Evaluation","optional":true},{"name":"LoRA","optional":true},{"name":"Model Distillation","optional":true},{"name":"PEFT","optional":true},{"name":"Post-training","optional":true},{"name":"PyTorch","optional":true},{"name":"QLoRA","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"SFT","optional":true},{"name":"Synthetic Data","optional":true},{"name":"Transformers","optional":true},{"name":"TRL","optional":true}],"status":"live","first_seen_at":"2026-10-23T00:00:00Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-25T15:17:47Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Project Role : Packaged/SaaS Application EngineerProject Role Description : Configure and support packaged or SaaS applications to adapt features, manage releases, and ensure system stability. Use standard tools, APIs, and low-code platforms to align solutions with business needs while preserving compatibility and performance.\nMust have skills : Large Language Models (LLMs)\nGood to have skills : Kubernetes, Generative AI\nMinimum 3 year(s) of experience is required\nEducational Qualification : 15 years full time education\nSummary:\nAs a Packaged or Software as a Service Application Engineer, a typical day involves configuring and supporting packaged or SaaS applications to meet evolving business requirements. This includes adapting application features, managing software releases, and ensuring the overall stability and performance of the systems. The role requires working with various tools, application programming interfaces, and low-code platforms to deliver solutions that align with organizational goals while maintaining compatibility across different environments. Collaboration with cross-functional teams to troubleshoot and optimize application functionality is also a key part of daily activities\nImportant exp:\n. LLM Engineers post-training - 3-7 years overall experience\nExperience post-training open-source LLMs/SLMs using SFT, LoRA/QLoRA, Reinforcement Learning, preference optimization or distillation\nStrong PyTorch/Transformers/TRL fundamentals\nExperience with synthetic data, evaluation harnesses and domain-specific benchmarks\nInterest in agentic coding, tool-use and domain-specialized models\n.\nRoles & Responsibilities:\n- Expected to perform independently and become a subject matter expert.\n- Required active participation and contribution in team discussions.\n- Contribute in providing solutions to work related problems.\n- Collaborate with stakeholders to gather requirements and translate them into effective application configurations.\n- Monitor application performance and proactively identify areas for improvement to enhance user experience.\n- Document configuration changes and maintain clear records to support knowledge sharing within the team.\n- Assist junior team members by providing guidance and sharing best practices to foster professional growth.\nProfessional & Technical Skills:\n- Must To Have Skills: Proficiency in Large Language Models (LLMs).\n- Good To Have Skills: Experience with Generative AI and Kubernetes.\n- Strong understanding of application integration techniques and API management.\n- Experience working with low-code or no-code platforms to customize and extend packaged applications.\n- Ability to troubleshoot complex system issues and implement effective solutions.\n- Familiarity with software release management and version control processes.\nAdditional Information:\n- The candidate should have minimum 3 years of experience in Large Language Models (LLMs).\n- This position is based at our Bengaluru office.\n- A 15 years full time education is required.\n15 years full time educationAbout Accenture\nAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us atwww.accenture.com\nEqual Employment Opportunity Statement\nWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicablelaw. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.","description_format":"text","description_chars":4823,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Systems Integrators","Business Process Outsourcing (BPO)","Management Consulting"],"lifecycle":[{"event":"open","at":"2026-10-25T11:33:26Z"}],"visa":[],"liveness":{"score":75,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.828,"p_room":0.9,"age_days":2,"expected_fill_days":5,"reasons":["conf:0","win:mid","comp:brand"],"computed_at":"2026-10-25T15:29:35Z"},"pay":null,"html_url":"https://alion.io/job/accenture-packagedsaas-application-engineer-84","json_url":"https://alion.io/job/accenture-packagedsaas-application-engineer-84.json","meta":{"generated_at":"2026-10-25T15:29:35Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":22410,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":271},"rest":"https://alion.io/mcp/rest/get_company?id=271"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Faccenture-packagedsaas-application-engineer-84"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Faccenture-packagedsaas-application-engineer-84"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Faccenture-packagedsaas-application-engineer-84"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/accenture-packagedsaas-application-engineer-84\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Faccenture-packagedsaas-application-engineer-84"}]}