{"id":1230359,"url":"https://alion.io/job/whitetable-ai-engineer","title":"AI Engineer","company":{"id":3800729,"name":"Whitetable","domain":"whitetable.ai","url":"https://alion.io/company/whitetable-2","size_band":null,"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":"middle","employment_type":null,"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":{"min":3000000,"max":6000000,"currency":"INR","period":"year","gross":true,"usd_annual":62892},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Tool Use","optional":false}],"status":"live","first_seen_at":"2026-09-19T05:39:03Z","employer_posted_date":null,"last_verified_at":"2026-09-19T05:39:03Z","board_verified":false,"closed_at":null,"days_open":15,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":15},"description":"AI Engineer - LLM & AI Systems\n\nLocation : Bangalore\n\nEmployment Type : Full-time\n\nExperience : 3+ Years\n\nAbout the Role :\n\nWe are looking for an AI Engineer to design, build, and deploy AI-powered features that sit at the core of a next-generation technology platform.\n\nThe role involves building reliable LLM systems, evaluation infrastructure, RAG pipelines, and agentic workflows that can translate complex real-world workflows into accurate, scalable, and production-ready AI experiences.\n\nYou will work closely with product, engineering, and domain experts, taking significant ownership from experimentation and prototyping through production deployment.\n\nKey Responsibilities :\n\n- Build and maintain model evaluation and testing harnesses, including benchmark runners, regression suites, prompt test beds, and model comparison frameworks.\n\n- Design, develop, and ship LLM-powered production features from prototype to deployment.\n\n- Build and optimize RAG pipelines, agentic workflows, tool-use systems, and orchestration layers.\n\n- Develop effective prompting and context strategies to improve accuracy, consistency, and cost efficiency.\n\n- Integrate and evaluate proprietary and open-source foundation models based on quality, latency, reliability, and cost.\n\n- Develop evaluation frameworks and quality checks to systematically measure and improve AI performance.\n\n- Implement guardrails, fallback mechanisms, monitoring, and observability for production AI systems.\n\n- Collaborate with product, engineering, and domain teams to convert complex workflows into practical AI solutions.\n\n- Continuously improve AI systems based on evaluation results and real-world usage data.\n\nRequirements :\n\n- 3+ years of hands-on experience building and deploying applications or systems using LLMs and AI models.\n\n- Experience building AI evaluation infrastructure, model harnesses, benchmark runners, test suites, or similar systems.\n\n- Strong practical experience with RAG, agentic AI, tool use, prompt engineering, and AI orchestration.\n\n- Strong backend and software engineering fundamentals with experience building reliable production systems.\n\n- Experience designing AI evaluations, quality checks, and regression testing frameworks.\n\n- Good understanding of the LLM ecosystem, including API-based and open-source models.\n\n- Understanding of prompting vs. fine-tuning and model selection trade-offs.\n\n- Ability to work independently, take ownership, and operate effectively in a fast-paced environment.\n\nPreferred :\n\n- Experience with legal technology, document intelligence, or document-heavy workflows.\n\n- Experience working on high-stakes or regulated AI applications.\n\n- Familiarity with production AI observability, monitoring, and reliability practices.\n\n- Experience working with multiple LLM providers or model architectures.\n\nWhat the Role Offers :\n\n- Opportunity to build AI infrastructure and intelligent product features from the ground up.\n\n- Significant ownership and direct exposure to product and business decisions.\n\n- Opportunity to work closely with experienced AI engineers, product teams, and domain experts.\n\n- Competitive compensation based on experience and expertise.\n\n- High-impact role in a rapidly evolving AI-focused environment.\nSkills\nArtificial Intelligence, LLM, RAG, Agentic AI, Prompt Engineering, AI Infrastructure","description_format":"text","description_chars":3352,"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":[],"lifecycle":[{"event":"open","at":"2026-09-25T14:00:00Z"}],"visa":[],"liveness":{"score":45,"band":"ok","label":"Likely open","p_open":0.85,"p_active":0.702,"p_room":0.75,"age_days":15,"expected_fill_days":18,"reasons":["seen:15","velocity","win:late"],"computed_at":"2026-10-04T05:45:00Z"},"pay":{"stated_usd_annual":62892,"is_top_pay":false},"html_url":"https://alion.io/job/whitetable-ai-engineer","json_url":"https://alion.io/job/whitetable-ai-engineer.json","meta":{"generated_at":"2026-10-05T00:25:19Z","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":372,"day_limit":5000,"remaining_today":4628,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}