{"id":2803058,"url":"https://alion.io/job/black-turtle-software-engineersenior-software-engineer-artificial-intelligencemachine-learning","title":"Software Engineer/Senior Software Engineer - Artificial Intelligence/Machine Learning","company":{"id":3801526,"name":"Black Turtle","domain":"black-turtle.com","url":"https://alion.io/company/black-turtle-2","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","Hyderabad, India","Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":48000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":38},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"Docker","optional":false},{"name":"FAISS","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"Java","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Teams","optional":false},{"name":"Mistral","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"Node JS","optional":false},{"name":"OpenAI","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Slack","optional":false},{"name":"TensorFlow","optional":false},{"name":"Text-to-Speech","optional":false},{"name":"Transformers","optional":false},{"name":"Weaviate","optional":false},{"name":"WhatsApp","optional":false},{"name":"AI Agents","optional":true},{"name":"AIOps","optional":true},{"name":"JavaScript","optional":true}],"status":"closed","first_seen_at":"2026-07-24T12:23:48Z","employer_posted_date":null,"last_verified_at":"2026-10-22T12:24:22Z","board_verified":false,"closed_at":"2026-10-22T12:24:22Z","days_open":90,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":90},"description":"Role Summary :\n\nWe are seeking a highly skilled Generative AI & Conversational AI Expert to design, develop, and deploy cutting-edge AI solutions. This role will focus on both Conversational AI (chatbots, voice assistants, NLP, and dialogue frameworks) and Generative AI (LLMs, RAG, prompt engineering, and AI-based content generation).\n\nThe ideal candidate will have expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern NLP frameworks. You will be responsible for building AI-powered assistants, integrating AI into business workflows, and optimizing models for real-world applications.\n\nKey Responsibilities :\n\nGenerative AI (Gen AI) :\n\n- Develop AI-driven solutions using LLMs (e.g., GPT, LLaMA, Claude, Mistral) for business applications.\n\n- Implement Retrieval-Augmented Generation (RAG) pipelines to provide AI with real-time business knowledge and context.\n\n- Fine-tune and optimize LLMs for specific domains (e.g., Healthcare, Finance, Customer Support).\n\n- Work with vector databases (e.g., Pinecone, FAISS, Weaviate, ChromaDB) to store and retrieve AI-relevant data.\n\n- Develop knowledge graphs to enhance AI reasoning, memory, and structured data extraction.\n\n- Conduct prompt engineering and tuning to improve the accuracy and relevance of AI-generated responses.\n\n- Integrate LLM-based solutions into business automation workflows.\n\nConversational AI : \n\n- Design and develop AI-powered chatbots and virtual assistants using platforms like Rasa, AWS Lex, Dialogflow, or OpenAI APIs.\n\n- Implement speech-to-text (STT) and text-to-speech (TTS) for real-time voice AI interactions.\n\n- Optimize dialogue management, NLU, and contextual understanding for seamless user experiences.\n\n- Build multi-channel AI assistants (Web, WhatsApp, Slack, Microsoft Teams, IVR).\n\n- Integrate Conversational AI solutions with backend systems, APIs, and databases for process automation.\n\n- Deploy AI-driven customer service automation with human-agent handover capabilities.\n\nRequired Skills & Qualifications :\n\n- Experience: 3-7 years of experience in AI/ML, NLP, or Conversational AI development.\n\n- AI & NLP: Hands-on experience with LLMs, Transformer models, OpenAI APIs, Hugging Face, and LangChain.\n\n- Frameworks: Proficiency with AI frameworks such as TensorFlow, PyTorch, Rasa, AWS Lex, or Dialogflow.\n\n- Vector Databases & RAG: Knowledge of Pinecone, FAISS, Weaviate, or ChromaDB for AI memory storage.\n\n- Conversational AI: Strong experience building intelligent chatbots and voice assistants.\n\n- Voice/Speech: Understanding of STT, TTS, and multi-modal AI interactions.\n\n- Model Optimization: Hands-on experience with LLM training, prompt tuning, and hyperparameter tuning.\n\n- Integration: Experience integrating AI into enterprise applications, RPA tools, and cloud services.\n\n- Cloud & Deployment: Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).\n\n- Data Processing: Ability to structure data for AI reasoning and integrate with knowledge graphs.\n\n- Programming: Proficiency in Python, Node.js, or Java.\n\n- Soft Skills: Strong problem-solving, analytical skills, and a willingness to learn new technologies.\n\nPreferred Qualifications :\n\n- Experience with agentic AI architectures for task orchestration.\n\n- Familiarity with AIOps, AI-driven decision-making, and automation strategies.\n\n- Background in domains such as Healthcare AI, Financial AI, Enterprise AI, or Contact Center AI.\n\n- Experience with process automation and structured data extraction.\nSkills\nGenerative AI, Conversational AI, Artificial Intelligence, Python, Machine Learning, NLP, LLM","description_format":"text","description_chars":3643,"description_truncated":false,"requirements":{"experience_years_min":3,"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":["IT Consulting & Digital Transformation","IT Staffing & Staff 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