{"id":1226858,"url":"https://alion.io/job/anblicks-artificial-intelligence-engineer","title":"Artificial Intelligence Engineer","company":{"id":2303504,"name":"Anblicks","domain":"anblicks.com","url":"https://alion.io/company/anblicks","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ahmedabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18000,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":26},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"CI/CD","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"Least Privilege","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Tool Use","optional":false},{"name":"Anthropic","optional":true},{"name":"Azure","optional":true},{"name":"Claude","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"LLMOps","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"OpenAI","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-09-22T17:40:54Z","employer_posted_date":null,"last_verified_at":"2026-09-22T17:40:54Z","board_verified":false,"closed_at":null,"days_open":18,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":18},"description":"Anblicks is hiring AI Engineers in Ahmedabad Gujarat. Candidates who are available to join immediately are only requested to apply \n\nResponsibilities\nAI application development: Build LLM-enabled features, RAG pipelines, agentic workflows, intelligent automation, and model/API integrations using clean, modular code.\nFull-stack implementation: Develop backend services, APIs, user-facing components, data integrations, and cloud-native deployment assets as required by the solution.\nModel and prompt engineering: Implement prompt templates, grounding, structured outputs, tool calling, context management, model routing, and evaluation harnesses.\nIntegration engineering: Create secure connectors to enterprise APIs, workflow systems, knowledge repositories, data platforms, and approved external services.\nQuality engineering: Develop unit, integration, regression, security, and AI-quality tests, including groundedness, correctness, safety, latency, and cost evaluations.\nOperational readiness: Add logging, tracing, telemetry, exception handling, usage controls, runbooks, and support diagnostics.\nSecure engineering: Follow secure coding, secrets management, least privilege, privacy, data handling, and responsible AI requirements.\nAgile delivery: Estimate work, deliver sprint commitments, participate in design and code reviews, resolve defects, and maintain transparent delivery status.\nDocumentation and knowledge transfer: Document code, configuration, interfaces, deployment procedures, architecture decisions, and operational guidance.\nRequired Qualifications\n3 to 5+ years of software engineering experience, including at least 1 year building AI/ML or LLM-integrated applications.\nStrong Python development skills or equivalent proficiency in a language used for enterprise AI applications.\nExperience with REST APIs, asynchronous processing, authentication, data access, testing, Git, and CI/CD.\nPractical experience with modern LLM SDKs/APIs, prompt orchestration, RAG, vector retrieval, tool calling, and structured outputs.\nExperience deploying applications on a major cloud platform and troubleshooting across application, model, integration, and data layers.\nAbility to write maintainable, production-ready code and participate actively in peer reviews.\nComfort working within short iteration cycles and adapting implementation based on evaluation evidence and stakeholder feedback.\nWorking knowledge of privacy, secure coding, and responsible AI controls for enterprise applications.\nPreferred Qualifications\nExperience with Azure AI Foundry, Azure OpenAI, Anthropic Claude, Model Context Protocol, or comparable AI platforms and frameworks.\nExperience with full-stack frameworks, containers, serverless services, API management, event-driven integration, and observability tools.\nFamiliarity with prompt/model evaluation frameworks, synthetic test generation, red-team testing, and LLMOps practices.\nExperience integrating work-management, IT service-management, risk, compliance, or enterprise knowledge platforms.\nExperience in financial services, lending, auto finance, compliance, risk, or another regulated environment.\nKnowledge of SQL, data engineering, semantic layers, vector databases/search, or knowledge graphs.","description_format":"text","description_chars":3247,"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":"2026-09-25T13:06:44Z"}],"visa":[],"liveness":{"score":45,"band":"ok","label":"Likely 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