{"id":3449708,"url":"https://alion.io/job/turing-staff-gen-ai-engineer-pythonllm","title":"Staff Gen AI Engineer - Python/LLM","company":{"id":13199,"name":"Turing","domain":"turing.com","url":"https://alion.io/company/turing","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":84,"open_postings":8,"ghost_share":0,"stale_share":0.625,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-11-01T06:10:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":4000000,"max":5000000,"currency":"INR","period":"year","gross":true,"usd_annual":52775},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-29T10:03:44Z","employer_posted_date":null,"last_verified_at":"2026-10-29T10:03:44Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Principal / Staff Gen AI Engineer\n\nLocation: Hyderabad Hybrid\n\nAbout the role:\n\nTuring is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises.\n\nRequired skills:\n\n- 10+ years of professional, hands-on engineering experience, including 4 - 6+ years specializing in building and deploying AI/ML models and systems.\n\n- 1+ years of experience in developing Generative AI (LLM) applications using techniques like prompt engineering, RAG, and/or agents.\n\n- Expert in architecting GenAI applications/systems using various frameworks & cloud services.\n\n- Good proficiency in using various cloud services from Azure, GCP, or AWS for building the GenAI applications.\n\n- Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.\n\n- Experience in driving the engineering team toward a technical roadmap.\n\n- Excellent communication skills to effectively collaborate with business SMEs.\n\nRoles & Responsibilities:\n\n- Build the technical roadmap given a business requirement and own the delivery of the same.\n\n- Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction.\n\n- Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.\n\n- Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.\n\n- Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.\n\n- Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.\n\n- Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.\n\n- Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.\n\nEducation:\n\n- Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field.\nSkills\nArtificial Intelligence, Machine Learning, Python, Generative AI, LangChain, RAG, Agentic AI, Prompt Engineering, Cloud Integration, 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