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AI Engineer
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- Posted 15 hours ago
- Over 300 applicants have applied
Job Description
Responsibilities
- Build and maintain AI agents, backend systems, and APIs.
- Integrate LLMs, NLP models, and AI tools into applications.
- Process unstructured data and documents such as PDFs.
- Ensure system performance, security, and scalability.
- Manage features from development to deployment and monitoring.
- Collaborate with ML, product, and data teams.
Requirements
- Experience with Python and backend development.
- Exposure to GenAI, LLMs, or NLP.
- Familiarity with document processing and unstructured data.
- Knowledge of LangChain, OpenAI APIs, and OCR tools is a plus.
- Understanding of cloud platforms, databases, Docker, and Kubernetes.
- Strong problem-solving skills and a product-oriented mindset.
- Ability to work in a fast-paced startup environment.
Spotlight
- WFH setup, Health & insurance
Bachelor Of Technology (B.Tech/B.E), Masters in Technology (M.Tech/M.E), Master in Computer Application (M.C.A), Bachelor Of Computer Application (B.C.A), Post Graduate Diploma in Computer Applications (PGDCA)
More Info
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Key Skills
About Company
Skills:
Tensorflow, Pytorch, Python, Data ML Pipelines, Applied Statistics, Agentic Architectures, Evaluation Frameworks, Eval and Observability Tooling
Skills:
Artificial Intelligence, Agentic AI, Generative AI
Skills:
Kubernetes, Sql, Java, Tableau, AWS, Kotlin, Python, Sap Business Objects, Docker, Gcp, Nlp, Spark, transformer architectures, benchmarking datasets, Go, Looker, PEFT, model alignment, LLM techniques, R-Shiny, LoRA, evaluation pipelines, Microstrategy, prompt engineering
Skills:
generative AI technologies., Vertex AI, Agent Space, Ai, Google Cloud AI