The Role
Develop, test, and deploy Python-based AI applications and intelligent agents using LLMs and frameworks such as LangChain. Build RAG, prompt engineering, embedding, knowledge-base, vector database, and data pipeline solutions. Integrate models with enterprise systems through APIs, webhooks, and microservices. Collaborate with data scientists and engineers to optimize models, document solutions, maintain code quality, and support continuous improvement.
Summary Generated by Built In
About AidenAI
AidenAI is a global AI transformation company that helps enterprises modernize, automate, and accelerate digital transformation using agentic AI technologies. Our flagship Aiden Digital Acceleration Platform (AiDAP) and AI accelerators — including TechD for migration, HX for human experience, and TX for testing — enable clients to transform legacy systems, enhance decision intelligence, and deploy AI-driven business solutions at scale. We work across industries such as insurance, financial services, healthcare, and manufacturing, delivering measurable impact through intelligent automation and next-generation AI agents.
Job Title: AI Developer
Location: Hyderabad, India
Experience: 2 -4 years
Employment Type: Full-Time
About the Role
We are seeking a passionate AI Developer with a foundational understanding of Large Language Models (LLMs), Python programming, and AI agent development. The role involves working with our engineering and product teams to design, develop, and deploy intelligent systems and automation agents leveraging state-of-the-art AI frameworks and APIs.
Key Responsibilities
- Develop, test, and deploy AI applications and agents using Python, LangChain, or equivalent frameworks.
- Build and fine-tune LLM-powered workflows for reasoning, summarization, data extraction, and conversational automation.
- Integrate AI models with enterprise applications via APIs, webhooks, and microservices.
- Work on prompt engineering, RAG (Retrieval Augmented Generation), and embedding-based applications.
- Support the design and implementation of knowledge bases, vector databases, and data pipelines for AI solutions.
- Collaborate with data scientists and engineers to train and optimize model performance.
- Document solutions, maintain clean code, and support continuous improvement initiatives.
Required Skills
- Proficiency in Python (NumPy, Pandas, FastAPI/Flask, etc.)
- Understanding of LLMs (e.g., OpenAI GPT, Anthropic Claude, Llama, Mistral, Qwen)
- Experience or academic exposure to LangChain, LlamaIndex, or Hugging Face frameworks
- Knowledge of RESTful APIs, JSON, and OAuth/token-based integrations
- Familiarity with vector databases (e.g., Pinecone, FAISS, ChromaDB)
- Basic understanding of prompt engineering, RAG, and embedding models
- Exposure to Git, Docker, and cloud platforms (AWS, Azure, or GCP) is a plus
- Strong problem-solving, logical reasoning, and debugging skills
Nice-to-Have Skills
- Exposure to agentic AI architectures (e.g., AutoGen, CrewAI, LangGraph)
- Basic understanding of machine learning pipelines and data preprocessing
- Awareness of AI governance, ethics, and data privacy principles
- Knowledge of front-end integration for AI apps (Streamlit, Gradio, React-based UIs)
- Hands-on experience with SQL/NoSQL databases
Qualifications
- Bachelor’s or master’s degree in computer science, AI/ML, Data Science, or related field. Other streams are ok if you have done specialized courses.
- Internship or academic project in AI / NLP / LLM development preferred
What We Offer
- Exposure to cutting-edge AI technologies and frameworks
- Mentorship from senior AI architects and data scientists
- Opportunity to work on real-world enterprise AI implementations
- Flexible and innovation-driven work environment
Skills Required
- 2–4 years of relevant experience
- Proficiency in Python, including NumPy, Pandas, FastAPI, or Flask
- Understanding of large language models, including OpenAI GPT, Anthropic Claude, Llama, Mistral, or Qwen
- Experience or academic exposure to LangChain, LlamaIndex, or Hugging Face
- Knowledge of RESTful APIs, JSON, and OAuth or token-based integrations
- Familiarity with vector databases such as Pinecone, FAISS, or ChromaDB
- Basic understanding of prompt engineering, RAG, and embedding models
- Strong problem-solving, logical reasoning, and debugging skills
- Bachelor’s or master’s degree in computer science, AI/ML, data science, or a related field; specialized courses may substitute
- Exposure to Git, Docker, and AWS, Azure, or GCP
- Exposure to agentic AI architectures such as AutoGen, CrewAI, or LangGraph
- Basic understanding of machine learning pipelines and data preprocessing
- Awareness of AI governance, ethics, and data privacy principles
- Knowledge of Streamlit, Gradio, or React-based front-end integration
- Hands-on experience with SQL or NoSQL databases
- Internship or academic project experience in AI, NLP, or LLM development
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The Company
What We Do
AidenAI builds and operates enterprise AI solutions, including AI agents and its unified agentic platform for modernizing legacy technology, transforming business logic and data, validating outcomes, and accelerating migration. It supports organizations from AI strategy through integration and ongoing operations, while providing tools to build, deploy, govern, and measure enterprise agents. Its services are intended to move AI beyond experimentation and embed it into business operations.
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