Job Description Job Title: Agentic AI Developer - Remote Experience Level: 2-5 years About the Role We are seeking a highly motivated and technically proficient Agentic AI Developer to join our growing team. You will be responsible for designing, developing, and deploying advanced autonomous agent systems that interact with and reason over diverse data sources using modern language models and frameworks. This is a unique opportunity for a self-driven developer with strong AI fundamentals and practical experience building agentic systems using state-of-the-art language models like OpenAI's GPT, Meta's LLaMA, Anthropic's Claude, and orchestration frameworks such as Rasa. You will play a key role in shaping the next generation of intelligent, context-aware systems that autonomously solve complex tasks. Key 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. Requirements: Must-Have Qualifications • 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 Qualifications • 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 Soft Skills • Highly self-driven with a strong sense of ownership and accountability. • Excellent communication skills, both verbal and written. • Strong analytical mindset with a focus on solving real-world problems Apply tot his job