{"id":1265826,"url":"https://alion.io/job/true-tech-professionals-generative-ai-engineer","title":"Generative AI Engineer","company":{"id":3800698,"name":"True Tech Professionals","domain":"truetechpro.io","url":"https://alion.io/company/true-tech-professionals","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":"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":22000,"max_usd":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Copilot Studio","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Google AI Studio","optional":false},{"name":"GraphQL","optional":false},{"name":"Hallucination","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Node JS","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"TypeScript","optional":false},{"name":"ABAP","optional":true},{"name":"Amazon CloudWatch","optional":true},{"name":"JavaScript","optional":true},{"name":"LangGraph","optional":true},{"name":"LangSmith","optional":true},{"name":"OpenSearch","optional":true},{"name":"Pinecone","optional":true},{"name":"SAP BTP","optional":true}],"status":"live","first_seen_at":"2026-09-09T05:39:54Z","employer_posted_date":null,"last_verified_at":"2026-09-09T05:39:54Z","board_verified":false,"closed_at":null,"days_open":21,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":21},"description":"Role Summary : \n\nWe are looking for a GenAI Engineer to design, build and scale production-ready Generative AI solutions that solve enterprise business problems.\n\nThe role will focus on LLM-powered applications such as copilots, conversational agents, document intelligence solutions, and AI-driven automation integrated with enterprise systems, including SAP S/4HANA.\n\nThe engineer will work with product, SAP, backend engineering, and cloud platform teams to deliver secure, compliant, cost-efficient, and reliable AI capabilities for business adoption.\n\nWhat You Will Do : \n\n1. Build GenAI Solutions : \n\n- Design, develop, and deploy GenAI applications using Azure OpenAI, AWS Bedrock, and Kiro.\n\n- Build enterprise copilots and AI agents using Microsoft Copilot Studio or similar low-code/pro-code frameworks.\n\n- Create RAG pipelines using vector search and enterprise knowledge sources to ground AI responses.\n\n- Apply prompt engineering techniques to improve response accuracy, consistency, and usability.\n\n2. Integrate with Enterprise Systems : \n\n- Integrate GenAI capabilities with SAP S/4HANA using OData services, APIs, workflow triggers, and event-driven patterns.\n\n- Build secure API layers connecting AI services with ERP, CRM, and operational systems.\n\n- Work with SAP functional and Basis teams to align AI touchpoints with business processes, authorizations, and data governance needs.\n\n3. Engineer for Scale, Quality and Governance : \n\n- Contribute to solution architecture, platform selection, cost optimization, security, and deployment decisions.\n\n- Design evaluation approaches for LLM quality, hallucination risks, latency, cost, and user satisfaction.\n\n- Set up monitoring for production AI applications using relevant cloud and observability tools.\n\n- Apply responsible AI practices such as content filtering, guardrails, bias checks, and explainability where required.\n\n- Maintain model, prompt, and version-control discipline to support production stability.\n\nSkills and Experience Required : \n\n- 5+ years of software engineering experience, including hands-on delivery of AI, LLM, or applied ML solutions in production environments.\n\n- Strong Python programming skills, with working knowledge of TypeScript, Java, or Node.js as an advantage.\n\n- Hands-on experience with Azure OpenAI Service, AWS Bedrock, or equivalent LLM platforms.\n\n- Practical experience building copilots, AI agents, or intelligent automation using Copilot Studio, Azure AI Studio, LangChain, LlamaIndex, or equivalent frameworks.\n\n- Strong understanding of RAG design, vector embeddings, chunking strategies, and retrieval optimization.\n\n- Experience integrating systems using REST APIs, OData, GraphQL, or event-driven architectures.\n\n- Understanding of cloud deployment, Docker, Kubernetes, and CI/CD pipelines for AI workloads.\n\n- Good understanding of enterprise security patterns including OAuth 2.0, managed identities, RBAC, secret management, and data residency considerations.\n\nPreferred / Good to Have : \n\n- Experience integrating AI services with SAP S/4HANA.\n\n- Knowledge of SAP BTP, SAP Integration Suite, SAP AI Core, or SAP Joule.\n\n- Familiarity with Azure AI Search, OpenSearch, Pinecone, LangSmith, Azure Monitor, or AWS CloudWatch.\n\n- Experience with model evaluation, guardrails, and responsible AI implementation in enterprise settings.\n\nCandidate Attributes : \n\n- Customer-focused : understands business use cases and builds solutions that solve measurable problems.\n\n- Challenger mindset : brings new ideas, learns quickly, and improves existing ways of working.\n\n- Committed : owns delivery, follows through, and supports production-quality engineering standards.\n\n- Clear communicator : explains complex AI concepts simply to technical and business stakeholders.\n\n- Connected collaborator : works effectively across product, SAP, platform, security, and business teams.\n\nSuccess Measures : \n\n- Production-ready AI solutions delivered securely and reliably.\n\n- Measurable business value through automation, productivity, or better decision support.\n\n- High-quality AI responses supported by testing, monitoring, and continuous improvement.\n\n- Strong stakeholder adoption and collaboration across business and engineering teams.\nSkills\nGenerative AI, Artificial Intelligence, LLM, Copilot, OpenAI, Agentic AI, RAG, VectorDB, Python, LangChain, LangGraph","description_format":"text","description_chars":4374,"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":["Custom Software Development","AI Consulting & Integration"],"lifecycle":[{"event":"open","at":"2026-09-25T22:00:00Z"}],"liveness":{"score":45,"band":"ok","label":"Likely open","p_open":0.85,"p_active":0.702,"p_room":0.75,"age_days":21,"expected_fill_days":23,"reasons":["seen:21","velocity","win:late"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/true-tech-professionals-generative-ai-engineer","json_url":"https://alion.io/job/true-tech-professionals-generative-ai-engineer.json","meta":{"generated_at":"2026-09-30T20:04:33Z","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":"assistant","counted_by":"address","units_charged":1,"used_today":1981,"day_limit":2000,"remaining_today":19,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}