{"id":2502760,"url":"https://alion.io/job/mynaksh-ml-engineer","title":"ML Engineer","company":{"id":3236,"name":"MyNaksh","domain":"mynaksh.com","url":"https://alion.io/company/mynaksh","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":null,"salary_estimate":{"min_usd":22000,"max_usd":51000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":25},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Amazon S3","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Hugging Face","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Langfuse","optional":true},{"name":"LlamaIndex","optional":true},{"name":"Neo4j","optional":true},{"name":"pgvector","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Qdrant","optional":true},{"name":"Recommender Systems","optional":true},{"name":"Redis","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-10-14T06:41:47Z","employer_posted_date":null,"last_verified_at":"2026-10-14T06:41:47Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"We are looking for an AI/ML Engineer (SDE2) who can design, build, and operate production-grade AI systems, with a strong focus on LLM applications, retrieval, memory, and personalization. This role is suited to an engineer who combines strong software engineering fundamentals with hands-on experience building real-world AI applications, not just notebooks, model experiments, or basic LLM API integrations.\nThe core responsibilities for the job include the following:\nBuild Conversational AI Systems:\nDevelop production-ready conversational AI experiences using LLMs, structured context, and user-specific information. Build systems that maintain conversational context, retrieve relevant past information, and generate personalized responses.\nImprove context selection, follow-up handling, and response consistency across conversations.\nBuild RAG, Retrieval, and Memory Systems:\nDesign and improve retrieval-augmented generation (RAG) pipelines using structured data, embeddings, vector search, and graph-based retrieval where appropriate.\nBuild long-term memory and user-profile systems that extract, store, update, rank, and retrieve relevant information.\nHandle conflicting information, memory freshness, relevance scoring, deduplication, and context selection.\nImprove retrieval quality, relevance, and personalization through measurable evaluation.\nDevelop LLM Orchestration and Optimization:\nDesign multi-step AI pipelines involving query understanding, retrieval, reasoning, and response generation.\nOptimize model selection, prompt design, tool calls, and pipeline execution.\nReduce unnecessary LLM calls while balancing quality, latency, and cost.\nImplement fallbacks, retries, timeouts, and graceful degradation for production reliability.\nBuild Personalization and User Intelligence:\nDevelop systems that adapt to user preferences, goals, interests, historical interactions, and evolving context.\nCombine structured user profiles, conversational memory, and retrieved knowledge to improve relevance.\nExplore lightweight ML approaches for classification, ranking, recommendation, and context selection where they outperform additional LLM calls.\nEvaluate and Improve AI Quality:\nDesign evaluation datasets and test cases for retrieval quality, memory accuracy, personalization, and response consistency.\nMeasure quality using appropriate offline evaluations and production metrics.\nBuild regression tests to catch failures in prompts, retrieval, memory updates, and model behavior.\nUse evaluation results and production feedback to drive improvements.\nOwn Production AI Engineering:\nBuild clean, maintainable Python services and APIs for AI features.\nTake features end-to-end: design, implementation, testing, deployment, monitoring, and iteration.\nInstrument latency, token usage, model costs, errors, and quality-related metrics.\nDebug production failures and improve scalability, security, and operational reliability.\nCollaborate with product and engineering teams to translate user needs into reliable AI capabilities\nRequirements:\n3+ years of experience in software engineering, AI/ML engineering, applied ML, or a closely related role.\nStrong Python programming and software engineering fundamentals, including clean code, API design, debugging, testing, and maintainable architecture.\nHands-on experience building and deploying AI/ML applications using LLMs, generative AI, NLP, or related technologies.\nPractical understanding of RAG, retrieval, embeddings, search, or context-selection systems.\nExperience building backend services and integrating AI capabilities into real applications.\nUnderstanding of evaluation methods for AI systems, including how to measure quality and detect regressions.\nExperience with production deployment, Docker, and cloud infrastructure such as AWS or an equivalent platform.\nAbility to reason about system design, latency, cost, reliability, and failure handling.\nOwnership mindset: able to independently take a feature from problem definition through implementation, testing, and deployment.\nGood to Have:\nExperience with vector databases or search systems such as Qdrant, pgvector, or similar technologies.\nExperience with graph databases such as Neo4j, knowledge graphs, or graph-based retrieval.\nFamiliarity with LLM orchestration frameworks such as LangChain, LlamaIndex, or comparable tools.\nExperience with Redis, PostgreSQL, S3, background jobs, queues, and asynchronous processing.\nFamiliarity with Hugging Face, model serving, vLLM, fine-tuning, or model optimization.\nExperience with recommendation systems, ranking, user modeling, or personalization.\nExperience with observability and evaluation tools such as Langfuse, tracing platforms, or equivalent solutions.\nExperience with multilingual NLP, Indic languages, or domain-specific knowledge systems.\nInterest in astrology, behavioral personalization, or building AI products that improve with continued user interaction.\nWhat Success Looks Like:\nShip reliable AI features that are used in the MyNaksh product.\nImprove memory, retrieval, and personalization quality using measurable metrics.\nReduce unnecessary model calls, inference costs, and response latency without compromising quality.\nBuild repeatable evaluation and regression-testing workflows for AI features.\nTake ownership of production systems, identify failure modes, and continuously improve reliability and performance.","description_format":"text","description_chars":5406,"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":["Consumer Health Apps","Consumer & Utility Software"],"lifecycle":[{"event":"open","at":"2026-10-14T06:41:47Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":20,"reasons":["seen:0","velocity","win:early"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/mynaksh-ml-engineer","json_url":"https://alion.io/job/mynaksh-ml-engineer.json","meta":{"generated_at":"2026-10-15T07:06:45Z","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":10734,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"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":3236},"rest":"https://alion.io/mcp/rest/get_company?id=3236"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmynaksh-ml-engineer"},{"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%2Fmynaksh-ml-engineer"},{"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%2Fmynaksh-ml-engineer"},{"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/mynaksh-ml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmynaksh-ml-engineer"}]}