{"id":2037618,"url":"https://alion.io/job/infosys-aiml-developer","title":"AI/ML Developer","company":{"id":223,"name":"Infosys","domain":"infosys.com","url":"https://alion.io/company/infosys","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"A","score":95,"open_postings":251,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":93,"computed_at":"2026-10-10T05:45:15Z"}},"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"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":28},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Embeddings","optional":false},{"name":"FAISS","optional":false},{"name":"Function Calling","optional":false},{"name":"Hallucination","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenSearch","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Tool Use","optional":false}],"status":"live","first_seen_at":"2026-10-05T10:26:11Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-10T22:58:03Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"We are looking for experienced AI/ML Engineers who can build and productionize enterprise-grade Machine Learning, Generative AI and Agentic AI solutions.\nThe ideal candidate will combine strong Python and Machine Learning fundamentals with hands-on experience in AWS AI/ML services, Retrieval-Augmented Generation (RAG), LLM integration and agentic workflows. You should be comfortable taking solutions from experimentation and model development through deployment, evaluation, monitoring and production operations.\nThis is a hands-on engineering role for professionals who have built real ML/GenAI solutions rather than only experimented with LLM APIs.\nResponsibilities\nDesign and deploy end-to-end ML and Generative AI pipelines on AWS using Amazon SageMaker and Amazon Bedrock.\nBuild intelligent LLM-powered agents and Agentic AI workflows using LangGraph and/or LangChain.\nArchitect production-ready RAG solutions, covering document ingestion, chunking, embeddings, metadata, vector indexing, retrieval and response generation.\nDevelop and productionize ML models for use cases such as forecasting, recommendations, prediction and customer analytics.\nIntegrate foundation models and LLM APIs including Amazon Bedrock and OpenAI into scalable enterprise applications.\nEngineer robust prompting, context-management and tool-calling/orchestration workflows for LLM applications.\nImplement LLM evaluation, grounding, hallucination mitigation and responsible-AI guardrails.\nBuild semantic and hybrid retrieval solutions with vector/search technologies such as FAISS, Pinecone and OpenSearch.\nApply MLOps/LLMOps principles for model and application deployment, versioning, evaluation, monitoring and lifecycle management.\nDevelop scalable Python-based APIs and services to expose AI/ML capabilities to downstream applications.\nCollaborate with data engineers, architects, product teams and cloud/platform engineers to move AI solutions from prototype to production.\nThe emphasis on RAG construction, evaluation, production agents, vector indexing and LangGraph/LangChain closely reflects recent Infosys internal AI engineering requiremen\nTechnical requirements\nMust-Have Skills\nCandidates should have strong hands-on experience in most of the following:\nProgramming & ML\nStrong Python\nScikit-learn\nTensorFlow and/or PyTorch\nMachine Learning model development and production deployment\nML pipelines and MLOps concepts\nGenerative AI & Agentic AI\nGenerative AI / LLM application development\nLangGraph and/or LangChain\nAgentic AI / AI Agents\nRetrieval-Augmented Generation (RAG)\nPrompt Engineering\nEmbeddings and semantic retrieval\nLLM evaluation and grounding techniques\nTool/function calling and agent orchestration\nAWS\nAmazon Bedrock\nAmazon SageMaker\nExperience deploying AI/ML workloads within AWS environments\nLLM Integration\nAmazon Bedrock model integration and/or OpenAI APIs\nFoundation-model integration\nAPI-driven GenAI applications\nVector Search / Databases\nFAISS\nPinecone\nOpenSearch\nOr comparable vector database/retrieval technology\nRecent Infosys AI hiring material similarly highlights LangGraph/LangChain, RAG, Pinecone/FAISS-type vector stores, prompt engineering, evaluation and production AI engineering\nAdditional responsibilities\nExperience: 5-15 Years\nLocations: Bangalore | Chennai | Pune | Hyderabad | Trivandrum\nEmployment: Full-time\nPreferred skills\nTechnology->AI-AI Engineering->AI/ML Solution Architecture and Design->traditional ai ml\nEducation\nMCA,MSc,MTech,Bachelor of Engineering,BTech","description_format":"text","description_chars":3511,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams"],"lifecycle":[{"event":"open","at":"2026-10-07T16:43:40Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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