{"id":1380027,"url":"https://alion.io/job/coffeebeans-consulting-generative-ai-engineer","title":"Generative AI Engineer","company":{"id":3808032,"name":"Coffeebeans Consulting","domain":"coffeebeans.io","url":"https://alion.io/company/coffeebeans-consulting","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":"middle","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","India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":11500,"max_usd":30000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Claude","optional":false},{"name":"Cohere SDK","optional":false},{"name":"FAISS","optional":false},{"name":"Few-Shot Learning","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"LangChain","optional":false},{"name":"LightGBM","optional":false},{"name":"Llama","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Mistral","optional":false},{"name":"NumPy","optional":false},{"name":"OpenAI","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Weaviate","optional":false},{"name":"XGBoost","optional":false},{"name":"Docker","optional":true},{"name":"DVC","optional":true},{"name":"Embeddings","optional":true},{"name":"FastAPI","optional":true},{"name":"MLFlow","optional":true}],"status":"live","first_seen_at":"2026-09-28T06:42:51Z","employer_posted_date":null,"last_verified_at":"2026-09-28T06:42:51Z","board_verified":false,"closed_at":null,"days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"description":"About the job : \n\nAbout CoffeeBeans Consulting : \n\nCoffeeBeans is a tech-driven software consulting company that helps businesses solve complex problems using modern data, AI, and engineering solutions. We blend deep technical expertise with a product mindset to build scalable, intelligent, and high-impact solutions across industries. Our data science team works on end-to-end delivery from exploration and modeling to GenAI application development and deployment.\n\nExperience : 3 - 5 Years\n\nLocation : Hyderabad | Work mode : Work from Office (5 Days)\n\nRole Overview : \n\nAs an L2 Data Scientist, you will play a hands-on role in delivering production-grade ML and GenAI-powered applications. You are expected to independently take ownership of data science components within client projects, contribute to solutioning and design, and mentor junior team members. You will work across a range of use cases such as personalization, fraud detection, intelligent automation, RAG pipelines, and LLM-based assistants. This role is ideal for someone who has proven experience in both traditional ML and an emerging understanding of LLMs and generative AI applications.\n\nKey Responsibilities : \n\nML & Data Science : \n\n- Own and deliver ML model development, tuning, and evaluation for client-facing projects.\n\n- Lead exploratory data analysis, data preprocessing, and feature engineering with minimal supervision.\n\n- Build models using appropriate ML techniques (classification, regression, clustering, recommendation) and ensure performance meets business expectations.\n\n- Contribute to experimentation frameworks and model reproducibility best practices.\n\nGenAI & LLM Applications : \n\n- Design and prototype GenAI solutions using LLMs (e.g., OpenAI, Claude, Mistral, Llama).\n\n- Hands-on experience with AgenticAI.\n\n- Build RAG pipelines, prompt templates, few-shot learning prompts, and evaluation mechanisms for GenAI systems.\n\n- Integrate LLMs with APIs, vector databases (e.g., Pinecone, FAISS, Weaviate), and context providers.\n\n- Contribute to benchmarking, safety, and cost-performance trade-offs in LLM app development.\n\nProduct & Engineering Collaboration : \n\n- Collaborate with engineering teams to take models from experimentation to deployment (batch/real-time).\n\n- Assist in building APIs and data pipelines needed for productionizing models.\n\n- Contribute to technical documentation, explainability reports, and client presentations.\n\nTeam & Growth : \n\n- Mentor junior data scientists and review code/model design.\n\n- Stay current with advances in ML and GenAI to inform solution design and share knowledge internally.\n\n- Participate in discovery and solutioning phases with clients alongside tech leads and PMs.\n\nRequired Skills & Qualifications : \n\n- Bachelors or Masters degree in Computer Science, Data Science, Engineering, Statistics, or a related field.\n\n- 2 - 5 years of hands-on experience in applied data science, including both ML model development and GenAI-based solutioning.\n\n- Strong command over Python and ML libraries (scikit-learn, XGBoost, LightGBM, etc.).\n\n- Experience working with LLM APIs (OpenAI, Cohere, Claude, etc.) and frameworks (LangChain, LlamaIndex, or similar).\n\n- Hands-on experience with prompt engineering, RAG workflows, and evaluating LLM outputs.\n\n- Proficiency in SQL and data wrangling tools (pandas, NumPy).\n\n- Experience working with REST APIs, Git, and cloud environments (AWS/GCP).\n\nGood-to-Have Skills : \n\n- Experience with deploying models via FastAPI, Docker, or serverless platforms.\n\n- Knowledge of MLOps tools (MLflow, DVC) and monitoring frameworks.\n\n- Experience with embeddings, vector databases, and similarity search.\n\nWhat You Can Expect at CoffeeBeans : \n\n- Work on real-world AI/ML problems across verticals.\n\n- Be part of a fast-moving team delivering end-to-end ML & GenAI apps.\n\n- Collaborate with experienced engineers and PMs in a flat and open culture.\n\n- Opportunities to lead, mentor, and influence tech direction.\nSkills\nGenerative AI, Artificial Intelligence, AI Integration, LLM, RAG, Data Science, SQL, Data Pipeline, VectorDB","description_format":"text","description_chars":4107,"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":["Data & Analytics","Professional Services"],"lifecycle":[{"event":"open","at":"2026-09-28T08:00:00Z"}],"visa":[],"liveness":{"score":94,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.943,"p_room":1,"age_days":5,"expected_fill_days":18,"reasons":["seen:5","urgency","velocity","win:early"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/coffeebeans-consulting-generative-ai-engineer","json_url":"https://alion.io/job/coffeebeans-consulting-generative-ai-engineer.json","meta":{"generated_at":"2026-10-05T03:30:23Z","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":4737,"day_limit":5000,"remaining_today":263,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}