{"id":2975127,"url":"https://alion.io/job/fugentex-solutions-aiml-engineer","title":"AI/ML Engineer","company":{"id":3806667,"name":"FuGenTex Solutions","domain":"fugentex.com","url":"https://alion.io/company/fugentex-solutions","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"WP Job Openings","truth_index":{"grade":"D","score":53,"open_postings":117,"ghost_share":0.778,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-22T06:10:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":12000,"max_usd":32000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"CrewAI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"Java","optional":false},{"name":"LangGraph","optional":false},{"name":"LoRA","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"QLoRA","optional":false},{"name":"Rest API","optional":false},{"name":"CI/CD","optional":true},{"name":"Django","optional":true},{"name":"FastAPI","optional":true},{"name":"LangChain","optional":true},{"name":"PEFT","optional":true},{"name":"RAG","optional":true},{"name":"Spring Boot","optional":true}],"status":"live","first_seen_at":"2026-09-21T09:01:25Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-10-22T06:14:51Z","board_verified":true,"closed_at":null,"days_open":30,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":30},"description":"Software Engineer - AI/ML (Multi-Agent Systems)\nLocation: Bengaluru, India\nExperience: 2-4 years\nTeam: AI/ML Engineering, L&T Finance (LTFS)\nAbout the Role\nWe’re building enterprise-grade multi-agent AI systems and fine-tuned models that power real production workflows. You’ll work across the stack: designing agent architectures, fine-tuning models for domain-specific tasks, and shipping systems that need to hold up at scale.\nScope & Ownership\nOwn end-to-end delivery of a defined workstream - e.g., an agent module or a fine-tuning pipeline - from design through deployment and monitoring\nMake implementation-level architecture decisions independently; escalate cross-system or infra-level decisions\nWork with moderate supervision: given a problem statement and constraints, you drive the technical approach\nMentor interns or fresher hires on your workstream\nDirectly accountable for the reliability and performance of what you ship\nWhat You’ll Do\nDesign, build, and deploy multi-agent AI systems (agent orchestration, tool use, inter-agent communication, memory/state management)\nFine-tune and evaluate LLMs/ML models for domain-specific use cases; manage the full lifecycle from data prep to deployment\nContribute to system architecture decisions within your workstream - service boundaries, data flow, scalability, and integration patterns\nWrite production-quality code in Python and/or Java\nCollaborate with cross-functional teams (product, infra, data) to take AI features from prototype to production\nDebug and optimize model performance, latency, and cost in live systems\nParticipate in code reviews and contribute to engineering best practices\nWhat We’re Looking For\n2-4 years of professional software engineering experience\nStrong proficiency in Python and/or Java\nHands-on experience building or working with multi-agent systems (e.g., LangGraph, AutoGen, CrewAI, or custom agent frameworks)\nPractical experience with model fine-tuning (LoRA/QLoRA, full fine-tuning, or similar techniques) and the ML training pipeline\nSolid understanding of system architecture - designing for scalability, reliability, and maintainability\nFamiliarity with REST APIs, microservices, and cloud deployment (any major cloud provider)\nDemonstrated ability to own a project end-to-end with limited hand-holding\nStrong problem-solving skills and ability to work with some ambiguity\nNice to Have\nExperience with vector databases, RAG pipelines, or retrieval-augmented systems\nExposure to MLOps tooling (experiment tracking, model versioning, CI/CD for ML)\nPrior experience in fintech, BFSI, or regulated enterprise environments\nFamiliarity with Spring Boot (Java stack) or FastAPI/Django (Python stack)","description_format":"text","description_chars":2694,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["DevOps & Platform Engineering","Cloud Consulting & Migration"],"lifecycle":[{"event":"open","at":"2026-10-21T04:22:20Z"}],"visa":[],"liveness":{"score":23,"band":"cold","label":"Long shot","p_open":1,"p_active":0.53,"p_room":0.44,"age_days":30,"expected_fill_days":24,"reasons":["conf:3","stale_co","velocity","win:tail","crowd:junior,brand"],"computed_at":"2026-10-22T06:10:10Z"},"pay":null,"html_url":"https://alion.io/job/fugentex-solutions-aiml-engineer","json_url":"https://alion.io/job/fugentex-solutions-aiml-engineer.json","meta":{"generated_at":"2026-10-22T07:26:46Z","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":3024,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"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":3806667},"rest":"https://alion.io/mcp/rest/get_company?id=3806667"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffugentex-solutions-aiml-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%2Ffugentex-solutions-aiml-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%2Ffugentex-solutions-aiml-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/fugentex-solutions-aiml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffugentex-solutions-aiml-engineer"}]}