{"id":1285178,"url":"https://alion.io/job/techraq-info-solutions-aiml-engineer","title":"AI/ML Engineer","company":{"id":3810696,"name":"TechRAQ Info Solutions","domain":"techraq.com","url":"https://alion.io/company/techraq-info-solutions","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"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":48000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":22},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"CrewAI","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Flask","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"MySQL","optional":false},{"name":"NumPy","optional":false},{"name":"OCR","optional":false},{"name":"OpenAI","optional":false},{"name":"Pandas","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Redis","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false},{"name":"Amazon EC2","optional":true},{"name":"Amazon ECS","optional":true},{"name":"Amazon S3","optional":true},{"name":"Amazon SageMaker","optional":true},{"name":"AWS","optional":true},{"name":"AWS Lambda","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Jenkins","optional":true},{"name":"LLM","optional":true},{"name":"NLP","optional":true}],"status":"live","first_seen_at":"2026-08-17T11:17:21Z","employer_posted_date":null,"last_verified_at":"2026-08-17T11:17:21Z","board_verified":false,"closed_at":null,"days_open":45,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":45},"description":"Role Overview:\n\nWe are looking for a versatile AI/ML engineer with 3 - 5 years of experience to join our team. You will be responsible for the end-to-end development of AI-driven products. From building robust backends to architecting complex Agentic workflows and RAG systems, you will bridge the gap between cutting-edge AI research and enterprise-grade production software. Our core projects focus on intelligent document processing and AI agents along with the Model Context Protocol (MCP).\n\nKey Responsibilities:\n\n- End-to-End AI Development: Design, develop, and deploy backend architectures for AI applications, ensuring seamless integration with production environments.\n\n- Advanced RAG & Document Intelligence: Build enterprise-scale Retrieval-Augmented Generation (RAG) pipelines and OCR solutions for complex document processing.\n\n- Agentic Workflows: Architect and implement autonomous AI agents and multi-agent systems using LangChain/LangGraph to solve multi-step business problems.\n\n- Data Strategy: Manage and optimise data flows using Kafka for real-time processing and maintain high-performance databases (SQL and NoSQL).\n\n- MCP Integration: Utilise and extend the Model Context Protocol (MCP) to connect AI models with secure, local, or remote data sources.\n\nTechnical Requirements:\n\nCore AI & Machine Learning:\n\n- Generative AI: Deep understanding of LLMs, prompt engineering, and fine-tuning (Gemini and OpenAI).\n\n- Agentic AI: Hands-on experience building autonomous agents and complex workflows (LangChain, LangGraph, or CrewAI).\n\n- RAG: Expertise in vector databases, embedding models, and semantic search.\n\nBackend & Data Processing:\n\n- Languages: Production-grade Python programming.\n\n- Data Processing: Pandas, NumPy, PyTorch.\n\n- Databases: Proficiency in PostgreSQL, MySQL, MongoDB, and Redis.\n\n- Streaming: Experience with Kafka for event-driven architectures.\n\nDevOps & Tools:\n\n- Version Control & Containerisation: Experienced with Git and Docker.\n\n- Deployment: Experience building and maintaining scalable APIs (FastAPI/Flask).\n\nOptional But Preferred Qualifications:\n\n- Cloud Platforms: Experience with AWS (SageMaker, S3, Lambda, EC2, ECS) or Azure (Blob Storage, Functions, VMs, ACI).\n\n- CI/CD: Knowledge of automated deployment pipelines (GitHub Actions or Jenkins).\nSkills\nPython, Machine Learning, Artificial Intelligence, LLM, Numpy, NLP, Agentic AI, LangChain","description_format":"text","description_chars":2400,"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":[],"lifecycle":[{"event":"open","at":"2026-09-26T04:00:00Z"}],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":0.6,"p_active":0.525,"p_room":0.35,"age_days":44,"expected_fill_days":18,"reasons":["seen:44","win:tail"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/techraq-info-solutions-aiml-engineer","json_url":"https://alion.io/job/techraq-info-solutions-aiml-engineer.json","meta":{"generated_at":"2026-10-01T21:07:40Z","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":3684,"day_limit":5000,"remaining_today":1316,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}