{"id":2771051,"url":"https://alion.io/job/glauben-technologies-technical-lead-llmraggenerative-ai","title":"Technical Lead - LLM/RAG/Generative AI","company":{"id":3800360,"name":"Glauben Technologies","domain":"glaubentechnology.com","url":"https://alion.io/company/glauben-technologies","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":"lead","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","Chennai, India","Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":60000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":34},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Keras","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SciPy","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"TensorFlow","optional":false},{"name":"Tool Use","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2026-09-11T06:04:12Z","employer_posted_date":null,"last_verified_at":"2026-09-11T06:04:12Z","board_verified":false,"closed_at":null,"days_open":36,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":36},"description":"Role Overview :\n\nWe are looking for a hands-on GenAI Developer/Technical Lead with strong experience in AI/ML and Generative AI to design, develop, deploy, and optimize enterprise GenAI solutions.\n\nKey Responsibilities :\n\n- Design and develop Generative AI and LLM-based applications for real-world business use cases.\n\n- Develop and optimize prompt engineering strategies to improve model accuracy, relevance, consistency, and overall output quality.\n\n- Build end-to-end LLM pipelines and workflows, including data ingestion, preprocessing, retrieval, model integration, evaluation, and deployment.\n\n- Work with API-based and open-source LLMs and evaluate appropriate models and architectures for different use cases.\n\n- Develop solutions using frameworks and tools such as LangChain, Semantic Kernel, and function/tool calling.\n\n- Design scalable AI workflows incorporating RAG, embeddings, vector search, and LLM orchestration where applicable.\n\n- Integrate GenAI capabilities with enterprise applications, APIs, and data sources.\n\n- Develop, test, validate, and optimize AI solutions for production environments.\n\n- Implement testing and evaluation strategies for GenAI applications, including model validation, response quality, reliability, and performance.\n\n- Collaborate with DevOps and engineering teams on deployment, CI/CD, monitoring, and productionization of AI solutions.\n\n- Review code, models, prompts, pipelines, and technical designs to ensure quality, scalability, maintainability, and adherence to engineering best practices.\n\n- Identify opportunities to optimize AI development workflows and improve development efficiency.\n\n- Ensure solutions follow Responsible AI, data privacy, security, fairness, and ethical AI principles.\n\n- Collaborate with Data Scientists, ML Engineers, Architects, Product teams, and business stakeholders to translate requirements into technical solutions.\n\n- Provide technical leadership, mentor junior developers, and guide the team on GenAI development practices.\n\n- Maintain clear documentation of technical designs, AI workflows, prompts, pipelines, and deployment processes.\n\nRequired Skills :\n\n- 5 to 10 years of overall IT/AI/ML experience, including 2 - 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