{"id":1279786,"url":"https://alion.io/job/xtag-services-genai-engineer","title":"GenAI Engineer","company":{"id":3800680,"name":"xTag Services","domain":"xtagservices.com","url":"https://alion.io/company/xtag-services","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":["Hyderabad, India","Pune, India","Bengaluru, India","Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":44000,"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":"BERT","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Gemini","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-08-21T09:53:46Z","employer_posted_date":null,"last_verified_at":"2026-08-21T09:53:46Z","board_verified":false,"closed_at":null,"days_open":39,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":39},"description":"GenAI Engineer\n\nLocation: Hyderabad, Chennai, Bangalore, Pune\n\nExperience: 5 to 11 Years\n\nAbout the Role:\n\nWe are looking for experienced GenAI Engineers with strong hands-on expertise in Machine Learning, Generative AI, LLM integration, RAG architectures, AI agents, and scalable AI deployment. The ideal candidate should have practical experience in developing, integrating, deploying, and monitoring production-grade AI and GenAI solutions.\n\nKey Responsibilities:\n\nGenerative AI and Machine Learning:\n\n- Design, develop, and deploy Machine Learning and Generative AI solutions.\n\n- Build and integrate LLM-based applications for enterprise use cases.\n\n- Perform model experimentation, fine-tuning, evaluation, deployment, and monitoring.\n\n- Develop scalable and production-ready AI solutions.\n\n- Work closely with Data Science, Data Engineering, and Product teams.\n\nLLM and RAG:\n\n- Develop applications using LLMs such as OpenAI, BERT, LLaMA, and Gemini.\n\n- Build and optimize Retrieval-Augmented Generation pipelines.\n\n- Integrate and work with Vector Databases.\n\n- Develop knowledge retrieval and context management solutions.\n\n- Implement prompt engineering and optimization techniques.\n\n- Evaluate LLM performance, accuracy, latency, and cost.\n\nAI Agent Development:\n\n- Design and develop AI agents for automation and intelligent workflows.\n\n- Implement agent orchestration and tool integration.\n\n- Develop scalable agentic AI solutions for enterprise use cases.\n\nModel Deployment and MLOps:\n\n- Deploy and monitor machine learning and GenAI models in production environments.\n\n- Use MLflow for experiment tracking and model lifecycle management.\n\n- Work with Docker and Kubernetes for containerized AI deployments.\n\n- Implement monitoring, logging, and observability for AI applications.\n\n- Follow CI/CD and MLOps best practices.\n\nSecurity and Compliance:\n\n- Implement security best practices for LLM and GenAI applications.\n\n- Ensure appropriate handling of enterprise data and sensitive information.\n\n- Support AI governance, compliance, and responsible AI practices.\n\nRequired Skills:\n\n- 5 to 11 years of experience in Machine Learning, AI, Data Science, or related fields.\n\n- Strong hands-on experience in Generative AI and LLM-based applications.\n\n- Experience with LLMs such as OpenAI, BERT, LLaMA, and Gemini.\n\n- Strong experience in RAG pipeline development.\n\n- Hands-on experience with Vector Databases.\n\n- Experience in AI Agent design and development.\n\n- Strong understanding of Prompt Engineering.\n\n- Experience with model design, fine-tuning, experimentation, deployment, and monitoring.\n\n- Strong programming skills in Python.\n\n- Experience with TensorFlow and/or PyTorch.\n\n- Experience with MLflow.\n\n- Experience with Docker and Kubernetes.\n\n- Knowledge of scalable AI deployment and production ML systems.\n\n- Understanding of AI security and compliance requirements.\n\nSkills\nGenerative AI, Artificial Intelligence, LLM, RAG, VectorDB, Machine Learning, Prompt Engineering, MLOps, PyTorch, Tensorflow","description_format":"text","description_chars":3021,"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":["Information Technology","Professional Services","Enterprise Apps Implementation Partners"],"lifecycle":[{"event":"open","at":"2026-09-26T02:00:24Z"}],"liveness":{"score":16,"band":"cold","label":"Long shot","p_open":0.6,"p_active":0.602,"p_room":0.45,"age_days":38,"expected_fill_days":23,"reasons":["seen:38","velocity","win:tail"],"computed_at":"2026-09-29T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/xtag-services-genai-engineer","json_url":"https://alion.io/job/xtag-services-genai-engineer.json","meta":{"generated_at":"2026-09-30T05:32:24Z","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":3883,"day_limit":5000,"remaining_today":1117,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}