{"id":2542466,"url":"https://alion.io/job/neoqubit-ai-engineer-aws","title":"AI Engineer - AWS","company":{"id":1236,"name":"Neoqubit","domain":"neoqubit.ai","url":"https://alion.io/company/neoqubit","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":null,"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"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Flask","optional":false},{"name":"Git","optional":false},{"name":"Hugging Face","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Milvus","optional":false},{"name":"OpenSearch","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Weaviate","optional":false},{"name":"CloudFormation","optional":true},{"name":"Function Calling","optional":true},{"name":"NLP","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-14T15:54:24Z","employer_posted_date":null,"last_verified_at":"2026-10-14T15:54:24Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We are looking for an AI Engineer with strong hands-on AWS expertise to design, develop, deploy, and scale AI/ML and generative AI solutions in production environments. The ideal candidate will have experience in Python, LLMs, RAG, Agentic AI, AWS AI/ML services, and production-grade deployment, with the ability to take AI solutions from POC to production.\nResponsibilities:\nDesign, build, and deploy AI/ML and generative AI solutions on AWS.\nDevelop LLM-powered applications, AI agents, RAG pipelines, and intelligent automation solutions.\nBuild scalable AI/ML pipelines using Python and modern AI frameworks.\nWork with AWS services such as Amazon Bedrock, SageMaker, Lambda, S3, ECS/EKS, EC2, and API Gateway.\nImplement RAG solutions using embedding models and vector databases.\nDevelop prompt engineering, model evaluation, fine-tuning, and optimization strategies.\nBuild MLOps/LLMOps pipelines for model deployment, monitoring, and continuous improvement.\nIntegrate AI models with applications through REST APIs and microservices.\nOptimize AI workloads for performance, scalability, reliability, security, and cost.\nCollaborate with Product, Engineering, Data Science, and DevOps teams to deliver production-ready AI solutions.\nRequirements:\nStrong analytical and problem-solving skills.\nAbility to take AI solutions from POC to production.\nUnderstanding of scalable cloud architecture and production systems.\nAbility to work independently and collaborate across teams.\nStrong communication and documentation skills.\nKey Technology Stack: Python, AWS, Amazon Bedrock, SageMaker, Generative AI, LLMs, RAG, Agentic AI, LangChain, LlamaIndex, Hugging Face, PyTorch, Docker, Kubernetes, REST APIs, Vector Databases, MLOps, and LLMOps.\nAI and Generative AI:\nStrong understanding of machine learning, deep learning, NLP, and generative AI.\nHands-on experience with LLMs, RAG, embeddings, vector databases, and prompt engineering.\nExperience with PyTorch, TensorFlow, Hugging Face, LangChain, or LlamaIndex.\nUnderstanding of model evaluation, fine-tuning, inference, and optimization. AWS Cloud\nHands-on experience with Amazon Bedrock and/or SageMaker.\nExperience with AWS Lambda, S3, EC2, ECS/EKS, API Gateway, Step Functions, and CloudWatch.\nKnowledge of IAM, AWS Glue, Athena, and EventBridge is an advantage.\nProgramming and Engineering:\nStrong proficiency in Python.\nExperience with FastAPI, Flask, or similar frameworks.\nStrong understanding of REST APIs, microservices, Git, Docker, and CI/CD.\nExperience with SQL/NoSQL databases and vector databases such as Pinecone, Weaviate, Milvus, OpenSearch, or pgvector.\nGood to Have:\nExperience building GenAI applications using Amazon Bedrock.\nHands-on experience with Agentic AI, AI agents, and tool/function calling.\nExperience with MLOps/LLMOps, Kubernetes, Terraform, or CloudFormation.\nAWS certifications in machine learning or solutions architecture.\nKnowledge of AI security, data privacy, model governance, and responsible AI.\nExperience in a startup or fast-paced product environment.","description_format":"text","description_chars":3042,"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":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Workflow & Process Automation (RPA, BPM)","AI Consulting & Integration"],"lifecycle":[{"event":"open","at":"2026-10-14T15:54:24Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":21,"reasons":["seen:0","velocity","win:early"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/neoqubit-ai-engineer-aws","json_url":"https://alion.io/job/neoqubit-ai-engineer-aws.json","meta":{"generated_at":"2026-10-15T11:57:41Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":18382,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1236},"rest":"https://alion.io/mcp/rest/get_company?id=1236"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fneoqubit-ai-engineer-aws"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fneoqubit-ai-engineer-aws"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fneoqubit-ai-engineer-aws"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/neoqubit-ai-engineer-aws\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fneoqubit-ai-engineer-aws"}]}