{"id":2442994,"url":"https://alion.io/job/discover-dollar-technologies-private-limited-ai-engineer-intern-2","title":"AI Engineer Intern","company":{"id":3807215,"name":"Discover Dollar Technologies Private Limited","domain":"discoverdollar.com","url":"https://alion.io/company/discover-dollar-technologies-private-limited","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":{"grade":"C","score":65,"open_postings":12,"ghost_share":0.583,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-22T06:10:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"intern","employment_type":"internship","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":{"min":18000,"max":20000,"currency":"INR","period":"month","gross":null,"usd_annual":2544},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangChain","optional":false},{"name":"Langfuse","optional":false},{"name":"LangGraph","optional":false},{"name":"LangSmith","optional":false},{"name":"LLM","optional":false},{"name":"MLFlow","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Anthropic","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"OpenAI","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Pydantic","optional":true}],"status":"live","first_seen_at":"2026-10-08T14:46:37Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-22T09:17:34Z","board_verified":true,"closed_at":null,"days_open":13,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":13},"description":"Job Description - AI Engineer Intern (Agentic AI)\nRole: AI Engineer Intern - Agentic AI & LLM Engineering\nDepartment: AI Engineering\nLocation: Bengaluru\nEmployment Type: Internship\nAbout the Role\nWe are looking for a technically strong and passionate AI Engineer Intern with hands-on experience building Agentic AI applications using Large Language Models (LLMs).\nThe ideal candidate should have practical exposure to DeepAgents, LangGraph, Agent Harness development, Model Context Protocol (MCP), AI Observability, and LLM Evaluations (Evals) through academic projects, personal projects, internships, or open-source contributions.\nYou will work on designing, developing, evaluating, and deploying AI agents capable of performing complex, multi-step business workflows by interacting with tools, APIs, databases, and enterprise systems.\nWe are looking for candidates who go beyond basic chatbot development and are interested in building reliable, tool-enabled, and measurable AI applications.\nKey Responsibilities\n1. Agentic AI & Agent Harness Development\nDesign and develop AI agents using LangGraph, LangChain, and DeepAgents.\nBuild and customize agent harnesses to support planning, tool execution, context management, and multi-step workflows.\nImplement agent middleware for tool retries, error handling, human-in-the-loop approvals, and context management.\nWork with agent memory, state management, checkpointing, and persistent execution.\nDevelop reusable tools, sub-agents, and agent orchestration workflows.\n2. Model Context Protocol (MCP) & Tool Integration\nDevelop and integrate MCP servers and clients to connect AI agents with external systems.\nBuild reusable tools for interacting with APIs, databases, and enterprise applications.\nImplement structured tool calling, input validation, error handling, and secure tool execution.\nUnderstand tool discovery, tool permissions, and integration patterns.\n3. AI Observability & Monitoring\nImplement end-to-end tracing and monitoring for LLM and agent-based applications.\nWork with observability frameworks such as MLflow, LangSmith, Langfuse, or OpenTelemetry.\nCapture and analyze agent execution traces, tool calls, model responses, token consumption, latency, and failures.\nDebug agent execution paths and identify reliability and performance issues.\nSupport monitoring and optimization of AI application quality and inference costs.\n4. LLM Evaluations (Evals) & Reliability\nDesign and implement evaluation frameworks for AI agents and LLM applications.\nCreate evaluation datasets with ground-truth examples and expected outputs.\nImplement evaluations for tool selection, tool execution, structured outputs, and end-to-end agent decisions.\nMeasure correctness, precision, recall, consistency, hallucinations, and task completion.\nDevelop automated regression tests to evaluate changes in prompts, models, and agent workflows.\nExperiment with LLM-as-a-Judge and human feedback mechanisms.\n5. Generative AI & Application Development\nDevelop LLM-powered applications using Python and model APIs.\nImplement prompt engineering, structured outputs, function calling, and Retrieval-Augmented Generation (RAG).\nBuild APIs and backend services using FastAPI or similar frameworks.\nWork with structured and unstructured enterprise data, including documents, emails, PDFs, and databases.\nCollaborate with engineering teams to develop and deploy AI solutions for real-world business use cases.\nRequired Technical Skills\nProgramming: Strong Python fundamentals, OOP, asynchronous programming, REST APIs, and JSON.\nAgentic AI: Hands-on exposure to LangGraph, DeepAgents, or comparable agent frameworks, including agent orchestration and tool calling.\nAgent Harness: Understanding of agent execution loops, middleware, tool integration, state management, and error handling.\nMCP: Understanding of MCP architecture and experience building or integrating MCP servers and tools.\nObservability: Familiarity with instrumenting and debugging LLM or agent workflows using tracing and monitoring tools.\nEvals: Understanding of evaluation datasets, correctness metrics, and methods for evaluating LLM and agent outputs.\nLLMs: Knowledge of prompts, embeddings, structured outputs, function calling, and RAG.\n Software Engineering: Git, debugging, unit testing, and basic database knowledge.\nGood to Have\nExperience with Azure OpenAI, OpenAI APIs, Anthropic, or open-source LLMs.\nFamiliarity with MLflow, LangSmith, Langfuse, or OpenTelemetry.\nExperience with Pydantic, FastAPI, PostgreSQL, MongoDB, or vector databases.\nKnowledge of Docker, cloud deployment, and CI/CD pipelines.\nExposure to multi-agent architectures, human-in-the-loop workflows, and persistent agent memory.\nFamiliarity with document intelligence, information extraction, or enterprise workflow automation.\nEducational Qualifications\nCurrently pursuing (in their Final Semester) or recently completed B.E./B.Tech/M.Tech/MCA in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related discipline.\nStrong programming fundamentals and demonstrated interest in AI engineering.\nAcademic projects, open-source contributions, hackathons, or independent AI projects are an advantage.\nIdeal Candidate\nWe are looking for someone who:\nHas explored building AI agents beyond basic prompt-based applications.\nUnderstands how agents interact with tools, manage state, and execute workflows.\nThinks about AI reliability, evaluations, and observability.\nCan debug agent workflows and identify opportunities for improvement.\nEnjoys working on real-world engineering challenges.\nIs proactive, technically curious, and comfortable exploring rapidly evolving AI technologies.\nCan explain the architecture, implementation, and technical decisions behind their projects.\n Our ideal candidate is a hands-on AI builder who can design an agent, connect it to real tools, evaluate its decisions, observe its execution, and continuously improve its reliability.","description_format":"text","description_chars":5975,"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":["Procurement & Spend Management","Accounting & Bookkeeping Services"],"lifecycle":[{"event":"open","at":"2026-10-13T12:42:03Z"},{"event":"open","at":"2026-10-21T18:18:42Z"}],"visa":[],"liveness":{"score":51,"band":"ok","label":"Likely open","p_open":1,"p_active":0.57,"p_room":0.9,"age_days":13,"expected_fill_days":24,"reasons":["conf:0","stale_co","win:mid","comp:junior,attention"],"computed_at":"2026-10-22T06:10:10Z"},"pay":{"stated_usd_annual":2544,"is_top_pay":false},"html_url":"https://alion.io/job/discover-dollar-technologies-private-limited-ai-engineer-intern-2","json_url":"https://alion.io/job/discover-dollar-technologies-private-limited-ai-engineer-intern-2.json","meta":{"generated_at":"2026-10-22T11:12:27Z","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":8998,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"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":3807215},"rest":"https://alion.io/mcp/rest/get_company?id=3807215"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdiscover-dollar-technologies-private-limited-ai-engineer-intern-2"},{"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%2Fdiscover-dollar-technologies-private-limited-ai-engineer-intern-2"},{"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%2Fdiscover-dollar-technologies-private-limited-ai-engineer-intern-2"},{"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/discover-dollar-technologies-private-limited-ai-engineer-intern-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdiscover-dollar-technologies-private-limited-ai-engineer-intern-2"}]}