{"id":1251984,"url":"https://alion.io/job/funic-tech-private-limited-ai-engineer","title":"AI Engineer","company":{"id":3800661,"name":"FUNIC TECH PRIVATE LIMITED","domain":"funictech.com","url":"https://alion.io/company/funic-tech-private-limited","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"D","score":40,"open_postings":13,"ghost_share":1,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-27T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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":38000,"max_usd":98000,"period":"year","method":"role_seniority_country_cell","sample_n":10},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"CrewAI","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Hallucination","optional":false},{"name":"Hybrid Search","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"MLFlow","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Pydantic AI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"WebSockets","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-09-16T06:35:07Z","employer_posted_date":null,"last_verified_at":"2026-09-16T06:35:07Z","board_verified":false,"closed_at":null,"days_open":11,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":11},"description":"# AI Engineer / Data Scientist - GenAI & Agentic AI\n\n- Experience : 5-7 Years\n\n- Location : Bangalore\n\n- Joining : Immediate to 15 Days\n\n- Job Summary :\n\nWe are looking for a hands-on - AI Engineer / Data Scientist- with strong experience in - Generative AI, Agentic AI, LLMs, RAG, and Python- to design, develop, deploy, and optimize production-grade AI applications.\n\nThe ideal candidate should have practical experience building - agentic workflows, RAG-based solutions, enterprise AI applications, and LLM-powered automation- , along with strong exposure to the - Azure AI ecosystem, Databricks, MLflow, and Kubernetes- .\n\nKey Responsibilities :\n\n- Design and develop production-ready - Generative AI and Agentic AI applications- for enterprise use cases.\n\n- Build intelligent agent workflows using frameworks such as - LangGraph, AutoGen, CrewAI, Semantic Kernel, or PydanticAI .\n\n- Develop advanced - RAG pipelines- including document ingestion, chunking, embeddings, vector search, hybrid search, re-ranking, memory, and tool orchestration.\n\n- Integrate - LLMs- such as GPT, Claude, LLaMA, and other foundation models into enterprise applications.\n\n- Develop - multi-agent and tool-using AI systems- capable of executing complex enterprise workflows.\n\n- Implement prompt engineering techniques to improve accuracy, reliability, and performance.\n\n- Develop AI solutions using - Azure OpenAI, Azure AI Search, and Azure AI Services- .\n\n- Build and manage ML/AI workflows using - Databricks, MLflow, and Delta Lake- .\n\n- Develop REST APIs, WebSockets, and event-driven services to integrate AI applications with enterprise systems.\n\n- Deploy containerized AI workloads using - Docker and Kubernetes- , including - Azure AKS/ARO- .\n\n- Implement CI/CD pipelines using - Jenkins, GitHub Actions, or similar tools- .\n\n- Implement responsible AI practices, including - guardrails, content filtering, prompt-injection protection, and secure AI interactions- .\n\n- Develop evaluation frameworks and metrics to measure - task success, response quality, hallucination, latency, reliability, and cost- .\n\n- Monitor and troubleshoot AI applications in production environments.\n\n- Optimize LLM applications for scalability, performance, latency, reliability, and cost.\n\n- Collaborate with Data Scientists, ML Engineers, Cloud Engineers, DevOps teams, and business stakeholders.\n\n- Follow - SDLC, Agile, version control, testing, documentation, and production deployment\nSkills\nArtificial Intelligence, Python, Generative AI, Agentic AI, Data Science, Data Scientist, LangGraph, LLM, RAG","description_format":"text","description_chars":2577,"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":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Design & Creative","Web Design"],"lifecycle":[{"event":"open","at":"2026-09-25T18:04:06Z"}],"liveness":{"score":48,"band":"ok","label":"Likely open","p_open":1,"p_active":0.531,"p_room":0.9,"age_days":10,"expected_fill_days":24,"reasons":["seen:10","stale_co","velocity","win:mid"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/funic-tech-private-limited-ai-engineer","json_url":"https://alion.io/job/funic-tech-private-limited-ai-engineer.json","meta":{"generated_at":"2026-09-28T00:59:17Z","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":571,"day_limit":5000,"remaining_today":4429,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}