{"id":1177426,"url":"https://alion.io/job/keywords-studios-ai-engineer-2","title":"AI Engineer","company":{"id":1898,"name":"Keywords Studios","domain":"keywordsstudios.com","url":"https://alion.io/company/keywords-studios","size_band":"5000+","is_staffing_agency":true,"is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":92,"open_postings":143,"ghost_share":0,"stale_share":0.322,"repost_share":0,"time_to_fill_p50_days":55,"computed_at":"2026-09-24T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"CrewAI","optional":false},{"name":"DSPy","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"GPT-4","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"n8n","optional":false},{"name":"OpenAI SDK","optional":false},{"name":"PEFT","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Supabase","optional":false},{"name":"TensorFlow","optional":false},{"name":"Vercel AI SDK","optional":false},{"name":"vLLM","optional":false},{"name":"Chain-of-Thought","optional":true},{"name":"CI/CD","optional":true},{"name":"LLMOps","optional":true},{"name":"Multimodal AI","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-09-24T12:06:50Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-24T20:26:14Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Keywords Studios is a leading global provider of technical and creative services to the video game and entertainment industries. With a network of over 70 studios across 26 countries, we partner with the world's most renowned game developers and publishers to deliver end-to-end solutions. Our expertise spans game development, art production, localization, audio services, functional and linguistic testing, and much more. At Keywords, we foster a culture of collaboration, innovation, and excellence, empowering our teams to create world-class gaming experiences that captivate audiences worldwide. In India, the company is headquartered in Gurgaon and has facilities in Bangalore and Pune. Join us in shaping the future of gaming and entertainment through technology!\nRole Overview\nWe are looking for a passionate and skilled AI Engineer to build next-generation applications. You will play a key role in developing, deploying, and optimizing state-of-the-art Al models to power intelligent solutions that impact millions of users. This role heavily focuses on generative AI, Large Language Models (LLMs), and integrating sophisticated agentic workflows into production environments.\nRequirements\nKey Responsibilities\nDesign, develop, and deploy advanced AI solutions focused on generative capabilities and conversational Al.\nBuild context-aware, autonomous AI agents using modern frameworks to solve complex business logic and automate workflows.\nCollaborate with data engineers to preprocess and curate large datasets for training and testing models.\nExperiment with state-of-the-art machine learning algorithms and fine-tune foundation models for production.\nBuild and deploy scalable, production-ready AI pipelines.\nAnalyze and optimize the performance of AI models to meet business requirements.\nStay updated with the latest advancements in GenAI, LLMs, and agentic systems, and propose innovative solutions to enhance products.\nRequired Skills and Qualifications\nEducation: Bachelor's or Master's degree or PhD. in Computer Science, Data Science, or a related field.\nExperience: 3 to 6 years of professional experience in building ML/AI models with a focus on modern LLM implementations.\nTechnical Skills:\nStrong proficiency in Python and experience with advanced AI/LLM ecosystem libraries (e.g., transformers, vLLM, accelerate, PEFT/LoRA, or DSPy).\nExperience in building and deploying RESTful APIs using FastAPI or Flask to serve AI models in production.\nStrong expertise in building applications using LLMs (e.g., Gemini, GPT-4, Claude) and modern orchestration frameworks like LangChain or LlamaIndex.\nHands-on experience with modern developer tools, including the Google AI SDK and OpenAI SDK, N8N.\nDeep understanding of AI agentic frameworks (e.g., LangGraph, AutoGen, CrewAI) and how to orchestrate multi-agent systems.\nFamiliarity with vector databases, Retrieval-Augmented Generation (RAG) pipelines, and modern backend-as-a-service platforms like Supabase.\nKnowledge of the Model Context Protocol (MCP) to securely connect AI models with external data sources and tools.\nExperience in developing and fine-tuning deep learning models using TensorFlow or PyTorch.\nKnowledge of cloud platforms (AWS, Azure, or GCP) for deploying ML models.\nSoft Skills:\nStrong problem-solving abilities and analytical mindset.\nExcellent communication skills to convey complex ideas effectively.\nAbility to work collaboratively in a team-oriented environment.\nPreferred Qualifications\nKnowledge about advanced prompt engineering techniques (e.g., Few-Shot, Chain-of-Thought, ReAct) is a strong good-to-have.\nExperience with fine-tuning large language models (LLMs) for domain-specific tasks.\nExposure to multimodal learning (integrating vision and language models).\nKnowledge of LLMOps/MLOps practices, including containerization and CI/CD pipelines.\nPublications or contributions to open-source projects in modern AI domains.\nBenefits\nWhat We Offer\nCompetitive salary and performance bonuses.\nOpportunity to work on exciting, cutting-edge projects.\nFlexible working hours and a collaborative environment.\nProfessional growth opportunities through training and mentorship.\nHealth insurance, Learning budgets, etc.\nDisconnect Week during Christmas to new year.","description_format":"text","description_chars":4258,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Growth opportunities","Health insurance"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-24T12:06:50Z"}],"liveness":{"score":52,"band":"ok","label":"Likely open","p_open":1,"p_active":0.516,"p_room":1,"age_days":0,"expected_fill_days":55,"reasons":["conf:1","agency","win:early","comp:brand"],"computed_at":"2026-09-24T21:32:49Z"},"pay":null,"html_url":"https://alion.io/job/keywords-studios-ai-engineer-2","json_url":"https://alion.io/job/keywords-studios-ai-engineer-2.json","meta":{"generated_at":"2026-09-24T21:32:49Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}