{"id":3718452,"url":"https://alion.io/job/digital-green-associate-ai-engineer-digital-green","title":"Associate AI Engineer - Digital Green","company":{"id":1777690,"name":"Digital Green","domain":"digitalgreen.org","url":"https://alion.io/company/digital-green","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","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":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"Arize Phoenix","optional":false},{"name":"Chain-of-Thought","optional":false},{"name":"Claude","optional":false},{"name":"DeepEval","optional":false},{"name":"Deepgram","optional":false},{"name":"Embeddings","optional":false},{"name":"FAISS","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"Hallucination","optional":false},{"name":"Langfuse","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multimodal AI","optional":false},{"name":"OpenAI","optional":false},{"name":"pgvector","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Promptfoo","optional":false},{"name":"Python","optional":false},{"name":"Qdrant","optional":false},{"name":"Ragas","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Text-to-Speech","optional":false},{"name":"Weights & Biases","optional":false},{"name":"Whisper","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Azure","optional":true},{"name":"CLIP","optional":true},{"name":"Docker","optional":true},{"name":"Fine-tuning","optional":true},{"name":"GCP","optional":true},{"name":"Gemma","optional":true},{"name":"LoRA","optional":true},{"name":"Mistral","optional":true},{"name":"PEFT","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Transformers","optional":true},{"name":"Vertex AI","optional":true},{"name":"YOLO","optional":true}],"status":"live","first_seen_at":"2026-11-04T01:44:59Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-08T22:09:05Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Associate AI Engineer\n Job Title: Associate AI Engineer\nLocation: Bangalore\nDepartment: Technology\nExperience : 1-4 years (relevant)\nAbout Digital Green\nDigital Green is a pioneer global not for profit organization, utilizing digital platforms and community-driven approaches to amplify the voices of smallholder farmers and improve their livelihoods. Our mission is to create a world where farmers use technology and data to build prosperous communities. By harnessing the power of technology, we facilitate knowledge sharing, capacity building, and market linkages, enabling farmers to adopt sustainable agricultural practices and increase their productivity and income.\nWe are dedicated to transforming the lives of under-served smallholder farmers worldwide through innovative technology solutions. Backed by leading philanthropic organizations such as the Bill & Melinda Gates Foundation (BMGF), Walmart Foundation, USAID, and UK Foreign, Commonwealth & Development Office (UKFCDO), we are committed to leveraging data and technology to empower smallholder farmers and strengthen agricultural extension systems.\n Job Summary\nLLMs · Embeddings · Evaluation · Agentic Systems · Multi-Modal AI\nThe Associate AI Engineer will build and evaluate LLM-powered features for FarmerChat, Digital Green's conversational AI platform serving millions of smallholder farmers. We are seeking an engineer with Python skills and hands-on LLM experience to design, test, and monitor AI systems that work reliably in multilingual, low-resource, and real-world agricultural contexts. You'll rotate across feature development, evaluation testing, and observability depending on sprint priorities-gaining broad exposure across the full AI stack.\nIn this role, you will write and refine prompts, build agentic workflows using tool-use patterns and the Model Context Protocol (MCP), maintain embedding and vector store pipelines, and work with multimodal data (text, speech, image) to serve farmer-facing advisory tools. You'll define and run automated evaluation frameworks to catch hallucination and bias before models ship to production, and collaborate with senior engineers, product, and field teams to ship reliable AI systems. This is a generalist role with genuine mentorship-your contributions matter from day one, and you'll grow rapidly in a fast-moving, impact-driven team.\nKey Responsibilities\n1. Build & Integrate LLM Features\nHelp build features for FarmerChat using LLM provider APIs (Anthropic Claude, OpenAI, Google Gemini) with guidance from senior engineers.\nWrite and refine prompts, call APIs, and wire up tool-use patterns using provider SDKs and the Model Context Protocol (MCP).\n2. Test & Evaluate AI Systems\nRun and extend automated test suites that check LLM outputs for accuracy, hallucination, and bias using tools like Ragas, DeepEval, or Promptfoo.\nTest agent workflows end-to-end and document edge cases, failure modes, and regressions.\n3. Work with Embeddings, Speech & Vision\nHelp maintain embedding pipelines and vector stores (Qdrant, pgvector, FAISS) that ground LLM responses with relevant agricultural knowledge.\nSupport the team’s expanding multi-modal work - speech-to-text (Whisper, Deepgram), text-to-speech, and image classification for crop and pest detection.\n4. Monitor, Debug & Document\nUse observability tools (Langfuse, Arize Phoenix, Weights & Biases) to monitor system health and flag issues.\nDocument your work - prompts, experiments, runbooks - so the team can reproduce and build on it.\nQualification & Skills:\n1-4 years in software engineering, ML, data science, or a related AI role.\nBachelor’s or Master’s in Computer Science, AI/ML, or a related field.\nSolid Python skills - comfortable writing code beyond notebooks.\nHands-on experience with at least one LLM provider API (Claude, OpenAI, or Gemini).\nFamiliarity with prompt engineering basics (few-shot, chain-of-thought, structured output).\nBasic understanding of embeddings and vector stores.\nGit and collaborative development workflows.\nNice to Have\nExposure to agentic workflows, MCP, or tool-use patterns.\nHands-on with speech models (Whisper, Deepgram) or vision models (ViT, CLIP, YOLO).\nExperience with LLM evaluation frameworks (Ragas, DeepEval, Promptfoo).\nCloud platform basics (AWS Bedrock / SageMaker, GCP Vertex AI, or Azure).\nFine-tuning experience (LoRA / PEFT) or open-source LLMs (Gemma, LLaMA, Mistral).\nDocker / containerization basics.\nWhat You’ll Build\nProduction features for FarmerChat - a real AI product serving millions of users.\nEvaluation pipelines that validate every model update before it ships.\nMulti-modal systems spanning text, speech, and image classification for agricultural use cases.\nTools and documentation that make the whole AI team more productive.\nWhy Digital Green\nReal impact - your code helps farmers, not ad clicks.\nBroad exposure - you’ll build, test, debug, and ship across the full AI stack.\nGenuine mentorship from senior engineers.\nSmall, fast-moving team where your contributions matter from day one.\nCompensation and Application Process:\nDigital Green is a great place to work and prides itself on a competitive and comprehensive compensation and benefits package. Digital Green Trust is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Please send your application along with an updated CV and a cover letter explaining your suitability for the position. 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