Major areas:
A good conceptual understanding of Generative AI fundamentals, including embeddings, RAG, RAG re-ranking/evaluation, and semantic search. good knowledge of AWS Bedrock (architecture, model invocation, prompt engineering, and RAG integration) and familiar with multi-agent concepts. Additionally, he has exposure to data engineering tools such as Glue and Athena, along with experience working with Flask and FastAPI, understanding of multimodal use case flows. CI/CD pipelines, hallucinations, Agent-core architecture.
Job Title: GEN AI ENGINEER
Experience: +5 Years
Location: Remote (U.S. Working Hours)
Start: Immediate
purpose of the job We are seeking an AI/ML Engineer who will play a key role in designing, developing, and integrating intelligent AI solutions across our platform. The role involves working on a variety of AI initiatives — from model experimentation and fine-tuning to building intelligent agents and retrieval-augmented generation (RAG) systems. You will collaborate closely with cross-functional teams to bring AI capabilities into production and ensure seamless integration within our orchestration and application layers.
responsibilities
● Design, implement, and optimize AI agents leveraging frameworks such as LangChain, LlamaIndex, or Haystack.
● Build and maintain RAG (Retrieval-Augmented Generation) pipelines combining LLMs, embeddings, and vector search.
● Develop and fine-tune ML and NLP models for internal use cases, work with vector databases and design efficient retrieval workflows.
● Collaborate with other product teams to integrate AI components into the orchestration layer and business systems.
● Implement APIs and microservices that expose AI functionalities for broader system use.
● Experience of context & prompt engineering, model evaluation, and response optimization.
● Evaluate, benchmark, and monitor models using standard metrics and observability tools.
● Stay up to date with the latest trends in AI frameworks, LLMs, and orchestration technologies. job requirements education & experience
● 5+ years of experience in Product development and AI/ML or NLP solution development.
● Strong coding proficiency in Python with practical experience in libraries like FastAPI, Pandas, PyTorch, TensorFlow, or Transformers.
● Experience with LLM frameworks and strong understanding of retrieval systems, embeddings, and vector databases.
● Hands-on experience with RESTful API development, microservices, and containerized deployments (Docker/Kubernetes).
● Familiarity with cloud AI services such as GCP Vertex AI (preferred) or AWS Bedrock, Azure OpenAI etc..
● Exposure to data pipelines, preprocessing, and production-grade model deployment. good to have skills
● Experience building multi-agent systems or orchestrated AI workflows.
● Familiarity with MLOps, CI/CD, and model lifecycle management.
● Contributions to open-source AI/ML projects or custom toolkits.
● Understanding of monitoring, cost optimization, and performance tuning for AI workloads.