{"id":1227146,"url":"https://alion.io/job/altimetrik-generative-ai-engineer","title":"Generative AI Engineer","company":{"id":1985,"name":"Altimetrik","domain":"altimetrik.com","url":"https://alion.io/company/altimetrik","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India","Bengaluru, India","Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Docker","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-09-25T11:47:42Z","employer_posted_date":null,"last_verified_at":"2026-09-25T11:47:42Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"As a Gen AI Engineer, you will be at the forefront of designing and deploying advanced artificial intelligence solutions that solve complex business challenges. You will work closely with cross-functional teams, including data scientists, product managers, and enterprise architects, to integrate Large Language Models and generative frameworks into production-grade environments. Your work will directly influence how our clients leverage data-driven insights, ensuring that our AI implementations are not only innovative but also scalable, secure, and highly impactful for end-users.\n\nKey Responsibilities : \n\n- Architect and implement robust Generative AI pipelines to automate complex workflows and enhance decision-making processes for enterprise clients.\n\n- Develop and fine-tune Large Language Models (LLMs) to ensure high performance and domain-specific accuracy across various business applications.\n\n- Build and optimize Retrieval-Augmented Generation (RAG) systems to improve the relevance and context-awareness of AI-generated outputs.\n\n- Manage the end-to-end lifecycle of machine learning models, from data ingestion and preprocessing to deployment and continuous monitoring.\n\n- Collaborate with engineering teams to containerize and orchestrate AI services using Docker and Kubernetes, ensuring seamless integration into existing cloud infrastructures.\n\n- Evaluate and integrate Vector Databases to facilitate efficient information retrieval and long-term memory capabilities for AI agents.\n\nRequired Skillset : \n\n- Demonstrated expertise in Python and deep learning frameworks such as PyTorch and TensorFlow to build and scale sophisticated AI models.\n\n- Proven ability to design and maintain RAG architectures and interact with VectorDBs to support high-performance search and retrieval tasks.\n\n- Strong understanding of LLM orchestration and the ability to translate business requirements into technical AI specifications.\n\n- Proficiency in containerization and orchestration tools including Docker and Kubernetes to ensure reliable model deployment in production environments.\n\n- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders and cross-functional partners.\n\n- A minimum of 5 to 11 years of professional experience in machine learning and AI engineering, with a track record of delivering production-ready solutions.\n\n- Ability to thrive in a collaborative, hybrid work environment across our Chennai, Bangalore, or Pune offices, maintaining high standards of engineering rigor and agility.\n\nSkills\nGenerative AI, PyTorch, Tensorflow, Artificial Intelligence, Python, Machine Learning, LLM, RAG, VectorDB","description_format":"text","description_chars":2695,"description_truncated":false,"requirements":{"experience_years_min":5,"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":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-09-25T13:06:44Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":42,"reasons":["seen:2","velocity","win:early"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/altimetrik-generative-ai-engineer","json_url":"https://alion.io/job/altimetrik-generative-ai-engineer.json","meta":{"generated_at":"2026-09-28T23:26:41Z","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":1065,"day_limit":5000,"remaining_today":3935,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}