{"id":1247843,"url":"https://alion.io/job/pulsora-ai-engineer-india","title":"AI Engineer - India","company":{"id":685712,"name":"Pulsora","domain":"pulsora.com","url":"https://alion.io/company/pulsora","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":83000,"period":"year","method":"role_seniority_country_cell","sample_n":10},"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":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Git","optional":false},{"name":"Google AI Studio","optional":false},{"name":"Java","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LoRA","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"QLoRA","optional":false},{"name":"RAG","optional":false},{"name":"Replit","optional":false},{"name":"Anthropic","optional":true},{"name":"CI/CD","optional":true},{"name":"Claude Code","optional":true},{"name":"Gemini","optional":true},{"name":"JavaScript","optional":true},{"name":"Llama","optional":true},{"name":"NumPy","optional":true},{"name":"Ollama","optional":true},{"name":"OpenAI","optional":true},{"name":"Pandas","optional":true},{"name":"PEFT","optional":true},{"name":"React.js","optional":true},{"name":"Reranking","optional":true},{"name":"Rest API","optional":true},{"name":"Scikit-learn","optional":true}],"status":"live","first_seen_at":"2026-09-25T17:32:51Z","employer_posted_date":null,"last_verified_at":"2026-09-25T17:32:51Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Founded in 2021, Pulsora the Enterprise Sustainability Platform, is a well-funded Silicon Valley software startup. It is dedicated to empowering purpose-driven enterprises to manage and improve their environmental, social, and governance (ESG) and overall sustainability footprint with an integrated, comprehensive, flexible, and innovative technology platform built for compliance, tracking, and insight. We are well funded, have amazing customers across industries and geographies, established strategic partnerships with leading ERP and consulting firms, and are growing fast!\n\nAbout The Job\n\nWe are seeking a highly skilled and experienced AI/ML Developer to join our team. The ideal candidate will be a specialist in the rapidly evolving field of Large Language Models (LLMs) and generative AI, with a strong background in developing, integrating, and optimizing complex agentic and RAG-based systems.\n\nWhat you will do\n\nLLM Integration & Development: Design, develop, and deploy production-grade applications leveraging various LLMs, context optimization, etc. \nAgentic Workflows: Architect and implement sophisticated, multi-step and multi-agent workflows using frameworks like LangChain and LangGraph. \nRetrieval Augmented Generation (RAG): Build and optimize RAG pipelines, including implementing and managing embeddings, vector databases, and advanced rerankers to enhance response quality and relevance. \nVibe Coding: Use code generation applications (e.g. Replit, Cursor, Google AI Studio, Git Hub Copilot in Agent mode, etc.) to create full applications (including frontend and backend), generate tests, perform testing and integrate them in the core product without writing any code. \nLLM Fine Tuning: Lead efforts in LLM fine-tuning (e.g., LoRA, QLoRA) for specific domain knowledge and tasks, and implement strategies for and efficiency. \nPrompt Engineering: Develop and refine advanced prompt engineering techniques to maximize model performance, consistency, and safety. \nFull-Stack Development: Own end-to-end implementation from frontend to the backend. \nJava (Plus): Expose AI/LLM functionality written in Python using Java services, leverage multi-threading capabilities in Java to augment AI/LLM functionality developed in Python\nCode Quality & Productivity: Utilize AI-powered development tools (e.g., GitHub Copilot, etc.) to efficiently generate, refactor, and optimize high-quality code. \nCollaboration: Work closely with team leads managers, QA, product managers and team in the US (this will require the willingness to work overlapping with US working hours)\n\nAbout you\n\nUndergraduate degree in Computer Science or similar Engineering field, advanced degree is a plus\n5+ years of professional experience in software development, with a minimum of 2 years focused on AI/ML development, particularly with LLMs\nStrong proficiency in Python and its relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn)\nProven experience integrating and working with major LLM APIs - both public and private/local, e.g., Gemini, OpenAI, Anthropic, Llama, Ollama, etc., including hands-on experience using techniques for LLM efficiency\nAt least 1 year of deep practical experience with LangChain and LangGraph for building complex LLM applications and agentic workflows using autonomous agents, tools, memory management, parallelization, etc. \nPractical experience using tools like Claude Code, Cursor, OpenAI, Microsoft Copilot, including the ability to safely integrate AI-generated code into production (validation, CI/CD)\nSolid understanding and implementation experience with RAG architectures, vector DBs, vector search, embeddings, and reranking mechanisms\nExperience leveraging AI Copilot or similar generative AI coding tools for accelerated development, code generation, refactoring, optimization, and vibe coding to create integrated backend and frontend applications\nExperience creating UI using React and integrating the UI with the backend using REST APIs is a big plus\nHands-on experience with Java, especially integrating Java modules with Python modules is a nice to have, but not necessary\n\nA little more about how you like to work\n\nStrong collaboration across a small team, including great communication with both onshore and offshore departments and translating vague requirements into actionable systems. \nSelf-motivated and proactive—you create momentum without needing direction\nA strong problem solver who can navigate ambiguity\nA builder who cares about shipping real, working products\nComfortable with ownership, accountability, and high expectations\nThrives outside of traditional work structures\nYou own the quality of the product you build\n\nWhy this role\n\nHigh ownership and autonomy\nOpportunity to build products end-to-end using AI-first workflows\nWork at the cutting edge of AI-driven software development\nWork with multiple leading-edge technologies\nFast-moving, execution-focused culture\n\nWhy work at Pulsora\n\nWe believe that progress happens by bringing together people from all walks of life who have the drive and the influence to improve our world now and for the next generations!\n\nIdeally have industry and market knowledge of ESG and sustainability\nThe company will pay with salary, equity, and benefits\nYou'll get to work on problems that are hard and important\nYou get to work on a solution that helps the planet and helps us all\nYou'll be joining an extraordinary team at the beginning of an extraordinary journey\nHybrid-friendly work environment, in office 2-3 times per week (for those in New York, San Francisco Bay Area, and Munich)\n\nPulsora Core Values\n\nCompassionate candor\nTransparency\nEmbrace diversity and cultivate belonging\nMake a positive impact\nDelight customers\n\nJoin us and become a driver for positive change!","description_format":"text","description_chars":5790,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["ESG & Carbon Accounting Software"],"lifecycle":[{"event":"open","at":"2026-09-25T18:00:00Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":1,"expected_fill_days":48,"reasons":["seen:1","win:early"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/pulsora-ai-engineer-india","json_url":"https://alion.io/job/pulsora-ai-engineer-india.json","meta":{"generated_at":"2026-09-28T01:06:17Z","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":658,"day_limit":5000,"remaining_today":4342,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}