Project Role : Custom Software Engineer
Project Role Description : Design, build and configure applications to meet business process and application requirements.
Must have skills : Large Language Models (LLMs)
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
We are seeking a skilled Generative AI Engineer to build and deploy agentic systems leveraging LLMs and autonomous task execution. The role involves developing intelligent AI agents that perform reasoning, planning, and goal-directed behaviors.
Roles & Responsibilities:
Design and develop intelligent AI agents using LLM frameworks such as LangChain, AutoGen, or AWS Agent Squad.
Fine-tune and deploy large language models (LLMs) for task-specific applications
Integrate tools, APIs, and external systems into agent workflows for enhanced functionality
Implement context handling, memory modules, and retrieval-augmented generation (RAG) pipelines
Develop robust backend systems for real-time agent inference and data processing
Monitor, evaluate, and iteratively improve agent behavior, output quality, and latency
Collaborate with cross-functional teams to translate business needs into AI capabilities
Required Skills and Qualifications:
Proficiency in Python with experience in ML/AI libraries such as PyTorch or TensorFlow
Hands-on experience with LLMs (GPT, Claude), prompt engineering, and embeddings
Familiarity with vector databases (e.g., Weaviate, Pinecone) and RAG pipelines
Experience in using LangChain, AutoGen, or similar agentic frameworks
Exposure to Docker, REST APIs, and cloud platforms (AWS)
Soft Skills:
Strong analytical and problem-solving skills
Ability to work independently in fast-paced, research-oriented environments
Experience:
4-8 years in LLM, AI/ML or software engineering, with 1–2 years working directly on LLM, GenAI or autonomous agents
Education:
Bachelor s or Master s degree in Computer Science, Artificial Intelligence, or a related field
15 years full time education