{"id":1279440,"url":"https://alion.io/job/supersourcing-aiml-engineer","title":"AI/ML Engineer","company":{"id":59528,"name":"Supersourcing","domain":"supersourcing.com","url":"https://alion.io/company/supersourcing","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":true,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"hybrid","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":22000,"max_usd":54000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":22},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-08-24T10:22:33Z","employer_posted_date":null,"last_verified_at":"2026-08-24T10:22:33Z","board_verified":false,"closed_at":null,"days_open":35,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":35},"description":"Role Overview :\n\nWe are seeking a high-caliber AI/ML Engineer to join our Bangalore-based innovation team, where you will be at the forefront of building next-generation intelligent systems. \n\nIn this role, you will design, develop, and deploy sophisticated Generative AI solutions that transform complex data into actionable business intelligence. \n\nYou will collaborate closely with cross-functional product managers, data scientists, and engineering leads to translate ambiguous business requirements into robust, scalable AI architectures. \n\nYour work will directly influence the user experience by integrating advanced LLM-driven features, ultimately driving efficiency and competitive advantage for our global client base.\n\nKey Responsibilities :\n\n- Architect and implement end-to-end RAG pipelines to enhance the accuracy and relevance of LLM outputs for enterprise-grade applications.\n\n- Develop autonomous Agentic AI workflows using LangChain and LangGraph to automate complex multi-step reasoning tasks for internal stakeholders.\n\n- Engineer and optimize VectorDB implementations to ensure low-latency retrieval and high-performance data indexing for large-scale datasets.\n\n- Collaborate with product teams to iterate on model performance, ensuring that AI-driven features meet rigorous quality standards and business KPIs.\n\n- Deploy production-ready machine learning models, ensuring seamless integration with existing cloud infrastructure to maximize system reliability and uptime.\n\nRequired Skillset :\n\n- Demonstrated proficiency in Python for building production-grade machine learning applications and data processing pipelines.\n\n- Advanced expertise in leveraging LLMs and Generative AI frameworks to solve real-world business problems with high precision.\n\n- Strong ability to design and maintain complex agentic architectures using LangChain and LangGraph, showcasing a deep understanding of stateful AI interactions.\n\n- Proven experience in managing VectorDB technologies to support high-dimensional data retrieval in distributed environments.\n\n- Excellent communication skills with the ability to articulate technical AI concepts to non-technical stakeholders and cross-functional partners.\n\n- A collaborative mindset suited for a hybrid work environment in Bangalore, with a track record of working effectively in fast-paced, agile teams.\n\n- A degree in Computer Science, Mathematics, or a related quantitative field, complemented by 3 - 5 years of hands-on experience in the AI/ML domain.\nSkills\nMachine Learning, Python, Generative AI, LLM, RAG, Artificial Intelligence, Agentic AI, LangChain, LangGraph","description_format":"text","description_chars":2626,"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":["Hybrid work"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-26T02:00:24Z"}],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":0.6,"p_active":0.208,"p_room":0.45,"age_days":34,"expected_fill_days":21,"reasons":["seen:34","agency","velocity","win:tail"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/supersourcing-aiml-engineer","json_url":"https://alion.io/job/supersourcing-aiml-engineer.json","meta":{"generated_at":"2026-09-28T22:07:19Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":93,"day_limit":5000,"remaining_today":4907,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}