Develop AI-powered applications and prototypes using LLMs, prompt engineering, RAG, embeddings, vector databases, and AI APIs. Support data preprocessing, model evaluation, API integration, and research into emerging AI technologies. Collaborate with software and AI engineers to integrate generative AI features into web and backend applications while building practical skills in Python, machine learning, and modern LLM frameworks.
This is a remote position.
Job Summary
We are looking for highly motivated fresh graduates who are interested in Artificial Intelligence, Machine Learning, and Generative AI.
The candidate should have strong programming fundamentals and a willingness to learn modern AI technologies such as LLMs, prompt engineering, embeddings, vector databases, RAG, and AI APIs.
Key Responsibilities
- Assist in developing AI-powered applications.
- Work with AI/ML models and APIs.
- Develop and test prompts for Large Language Models (LLMs).
- Integrate AI capabilities into web and backend applications.
- Assist in developing RAG (Retrieval-Augmented Generation) solutions.
- Work with embeddings and vector databases.
- Perform data preprocessing and basic analysis.
- Evaluate AI-generated responses for accuracy and relevance.
- Develop prototypes and proof-of-concepts using AI technologies.
- Research and evaluate new AI/LLM technologies.
- Collaborate with software engineers to integrate AI features into production applications.
Requirements
Educational Qualification
B.E./B.Tech in Computer Science, AI/ML, Data Science, IT, Electronics, or related field. MCA/M.Sc. candidates may also be considered.
Required Skills
- Good programming knowledge, preferably Python
- Basic understanding of AI and Machine Learning
- Understanding of:
- Supervised vs. unsupervised learning
- Training and inference
- Deep Learning
- Basic NLP concepts
- Generative AI
- Large Language Models
- Prompt engineering
- Familiarity with APIs and JSON
- Basic understanding of databases
- Familiarity with LangChain or similar LLM application frameworks
Benefits
Similar Jobs
Software • Analytics • Hospitality
Leads product planning and execution for assigned clients, translating client and market requirements into product features, business requirements, statements of work, and roadmaps. Partners with technology, development, analytics, support, marketing, and account teams throughout delivery. Acts as a product subject-matter expert, manages client communications, supports beta programs, monitors project KPIs, and helps define product vision, positioning, and customer value.
Software • Analytics • Hospitality
Own the vision, roadmap, development, evaluation, commercialization, and adoption of customer-facing Generative AI capabilities for hospitality software. Lead customer discovery, define intuitive and trustworthy AI experiences, establish quality and safety standards, and partner with engineering, design, security, legal, marketing, and commercial teams. Drive product delivery from experimentation through launch while measuring adoption, answer quality, customer outcomes, reliability, and business impact.
Top Skills:
APIsConversational AiGenerative AiGroundingGuardrailsHuman-In-The-Loop DesignIdentity And Access ManagementLarge Language ModelsLlm EvaluationMulti-Tenant SaasPromptingRetrieval-Augmented GenerationSemantic Layers
Big Data • Information Technology • Software • Analytics • Energy
Contract geologist supporting regional structural and sequence-stratigraphic interpretation projects, primarily in the Anadarko Basin and other North American basins. Integrates seismic, well, production, geological, geophysical, and petrophysical data using subsurface interpretation software. Responsibilities include geological modeling, productivity analysis, multidisciplinary collaboration, quality control, stakeholder coordination, project support, and client presentations.
Top Skills:
GisKingdom
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
