Agentic AI Developer - Remote jobs in United States
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ChatGPT Jobs · 3 days ago

Agentic AI Developer - Remote

Simple Solutions is seeking a highly motivated and technically proficient Agentic AI Developer to join their growing team. The role involves designing, developing, and deploying advanced autonomous agent systems that utilize modern language models and frameworks to solve complex tasks autonomously.

Computer Software

Responsibilities

Design and implement autonomous agents leveraging LLMs (e.g., GPT-4, LLaMA, Claude) and orchestrate them using tools like Rasa and custom workflows
Develop and fine-tune Retrieval-Augmented Generation (RAG) pipelines for context-aware task execution
Collaborate closely with product, data, and ML engineering teams to translate business requirements into intelligent, agentic workflows
Integrate multiple data sources (structured and unstructured) into AI pipelines for enhanced contextual reasoning and decision-making
Build tools for real-time inference, reasoning, and agent monitoring in production environments
Conduct performance analysis, A/B testing, and continuous improvement of deployed agent systems
Write clean, well-documented, production-ready Python code and contribute to code reviews and architectural design decisions
Communicate complex technical concepts clearly and effectively to both technical and non-technical stakeholders

Qualification

PythonAgentic architecturesLLMsRasaMachine learningNatural language processingRetrieval-Augmented GenerationRESTful APIsDockerAnalytical mindsetCommunicationSelf-driven

Required

2–5 years of hands-on software development experience post-undergrad
Strong programming proficiency in Python and experience building production-level ML applications
Deep understanding of agentic architectures, LLMs, and orchestration frameworks like Rasa or LangChain, LangGraph
Demonstrated experience working with OpenAI, Claude, and LLaMA models
Solid understanding of machine learning, natural language processing (NLP), and data analysis techniques
Hands-on experience with RAG (Retrieval-Augmented Generation) methodologies and vector databases (e.g., FAISS, Pinecone)
Familiarity with RESTful APIs, model deployment, and containerized environments (Docker, Kubernetes)

Preferred

Experience with prompt engineering, finetuning LLMs, or training custom models
Familiarity with open-source agent platforms and reinforcement learning techniques
Prior experience in building autonomous assistants, chatbots, or task-solving AI agents
Knowledge and experience with data analysis packages like Pandas or Polars
Experience with timeseries Postgres DB and non-relational databases
Knowledge and experience with data visualization libraries like matplotlib or plotly
Able to evaluate the Performance bottlenecks
Able to improve the performance of the solutions that we are developing in Generative AI/ML/DL
Understanding different caching strategies(In-memory, distributed, persistence, prompt-response, semantic caching, External Tool caching etc) and able to implement
Able to build MCP servers and clients
Able to package and deploy enterprise-level AI deployments

Company

ChatGPT Jobs

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Funding

Current Stage
Early Stage
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