KATBOTZ LLC Logo

KATBOTZ LLC

AI Developer / AI Engineer – Agentic AI, LLM & Predictive Analytics

Reposted 20 Days Ago
Remote
Hiring Remotely in USA
Mid level
Remote
Hiring Remotely in USA
Mid level
The AI Developer is responsible for designing and deploying AI solutions, including autonomous agents and predictive models, and integrating them into business operations.
The summary above was generated by AI

This is a remote position.

AI Developer / AI Engineer – Agentic AI, LLM & Predictive Analytics

Job Summary

We are looking for an AI Developer with hands-on experience in Agentic AI systems, Large Language Models (LLMs), and Predictive AI/ML models. The candidate will be responsible for designing, developing, and deploying AI solutions including autonomous agents, chatbots, predictive models, and AI automation tools to support business operations and product development.

Key Responsibilities
  • Develop and deploy Agentic AI systems using frameworks like LangChain, CrewAI, AutoGen, etc.
  • Build applications using Large Language Models (OpenAI, Claude, Llama, etc.)
  • Design and implement Predictive AI / Machine Learning models
  • Develop AI chatbots, automation tools, and AI assistants
  • Work on RAG (Retrieval Augmented Generation) systems
  • Integrate AI solutions with web applications, CRMs, and enterprise systems
  • Fine-tune and optimize LLM models
  • Work with structured and unstructured data
  • Deploy AI models on cloud platforms (AWS, Azure, GCP)
  • Collaborate with business and product teams to identify AI use cases


RequirementsRequired Skills
  • Python
  • Machine Learning (Regression, Classification, Clustering)
  • Predictive Modeling
  • LLM APIs (OpenAI, Anthropic, HuggingFace)
  • LangChain / CrewAI / AutoGen
  • Vector Databases (Pinecone, Weaviate, FAISS, Chroma)
  • RAG Architecture
  • Prompt Engineering
  • API Development
  • Data Processing (Pandas, NumPy)
  • Git / Version Control
Preferred Skills
  • Fine-tuning LLM models
  • AI Agents / Multi-Agent Systems
  • NLP (Natural Language Processing)
  • MLOps
  • Docker / Kubernetes
  • Cloud AI Services
  • Knowledge Graphs
  • AI Automation Workflows
Experience Required
3–6 Years in AI/ML development
OR
2+ Years specifically in LLM / Generative AI / Agentic AI
Education
  • B.Tech / M.Tech / MCA / MS in Computer Science, AI, Data Science or related field


Benefits

Equal Employment Opportunity

KATBOTZ LLC is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified individuals, regardless of race, religion, gender, gender identity, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. As an organization, we are unwavering in our commitment to maintaining a discrimination-free work environment, and fostering a culture of inclusivity, belonging and equal opportunity for all employees and applicants.



Similar Jobs

26 Minutes Ago
Remote or Hybrid
United States
42K-49K Annually
Entry level
42K-49K Annually
Entry level
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Screen and process incoming Group Life claims and related mail, enter and update claims in the FEGLI system, handle claimant calls and correspondence, produce letters, perform peer reviews, and meet quality and production metrics.
Top Skills: Fegli Claim SystemPc
26 Minutes Ago
Remote or Hybrid
United States
59K-86K Annually
Senior level
59K-86K Annually
Senior level
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Reviews and approves escalated complaint responses, advises on complex life insurance and annuity transactions, investigates high-value disbursements and suspected fraud, and researches contract histories. The role develops resolutions for customers and partners, supports legal, compliance, product, and regulatory teams, identifies operational risks and trends, and recommends process improvements while maintaining strong controls.
Top Skills: Microsoft CopilotMicrosoft Office Suite
An Hour Ago
In-Office or Remote
2 Locations
150K-250K Annually
Entry level
150K-250K Annually
Entry level
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Research Staff will develop foundational voice AI technologies, including low-bitrate neural audio codecs, steerable speech generation, disentangled audio representations, latent recombination, synthetic audio data generation, and multimodal speech-to-speech models. The role also involves designing scalable architectures, training methods, and inference algorithms optimized for hardware, billion-hour datasets, and real-time deployment. Candidates need strong mathematical foundations, foundation-model expertise, large-scale data pipeline experience, rigorous experimentation skills, deployment optimization knowledge, and publications or open-source contributions in speech or language AI.
Top Skills: Data PipelinesFoundation ModelsGenerative ModelsGpu Hardware OptimizationLatent Space ModelsMultimodal LearningNeural Audio CodecsSelf-Supervised LearningSpeech-To-Speech SystemsStatistical Learning TheoryTriton Kernels

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account