Middle AI/ML Engineer (Python, LLM, NLP/CV)

Inoxoft Inc

  • Philadelphia, PA
  • 30+ days ago

    Highlights

    Requirements: 2+ years of commercial experience with Python; Hands-on experience with LLMs and prompt engineering; Understanding of RAG, embeddings, token/context management; Experience with FastAPI/Flask, async, SQLAlchemy; Experience with ML/DL (PyTorch / TensorFlow / sklearn); Experience with NLP (Hugging Face, transformers); Experience with databases (SQL/NoSQL + vector DBs); Familiarity with Docker, CI/CD, cloud; Focus on code quality (testing, typing, linters); Upper-Intermediate English lever o higher. Responsibilities: Integrate and work with LLMs (OpenAI, Anthropic, Mistral); Build RAG pipelines (chunking, embeddings, retrieval); Use LangChain / LlamaIndex; Develop Python backend services (FastAPI/Flask); Apply ML/DL models (Transformers, classical ML); Work on NLP tasks (classification, NER, summarization); Contribute to Computer Vision tasks when needed; Work with vector DBs and traditional databases; Deploy and maintain services (Docker, CI/CD, cloud).

    Numbers & Facts

    LocationPhiladelphia, PA

    Description

    Middle AI/ML Engineer (Python, LLM, NLP/CV)

    Ukraine

    We're looking for a Middle AI/ML Engineer (Python, LLM, NLP/CV) to build and scale AI-powered products end-to-end - from model design and experimentation to production-ready APIs and infrastructure.

    Responsibilities:

    • Integrate and work with LLMs (OpenAI, Anthropic, Mistral);
    • Build RAG pipelines (chunking, embeddings, retrieval);
    • Use LangChain / LlamaIndex;
    • Develop Python backend services (FastAPI/Flask);
    • Apply ML/DL models (Transformers, classical ML);
    • Work on NLP tasks (classification, NER, summarization);
    • Contribute to Computer Vision tasks when needed;
    • Work with vector DBs and traditional databases;
    • Deploy and maintain services (Docker, CI/CD, cloud).

    Requirements:

    • 2+ years of commercial experience with Python;
    • Hands-on experience with LLMs and prompt engineering;
    • Understanding of RAG, embeddings, token/context management;
    • Experience with FastAPI/Flask, async, SQLAlchemy;
    • Experience with ML/DL (PyTorch / TensorFlow / sklearn);
    • Experience with NLP (Hugging Face, transformers);
    • Experience with databases (SQL/NoSQL + vector DBs);
    • Familiarity with Docker, CI/CD, cloud;
    • Focus on code quality (testing, typing, linters);
    • Upper-Intermediate English lever o higher.

    Benefits:

    • Flexible working hours;
    • 25 paid days off and 10 sick/medical leaves;
    • Additional paid days off for personal events like marriage and childbirth;
    • Maternity/Paternity leaves;
    • Skills Evaluations and promotions are based on Corporate Matrix;
    • Discount program;
    • Self-development budget per year;
    • Referral bonuses;
    • Corporate events and gifts;
    • Learning events and mentorship opportunities;
    • Speaking Clubs;
    • PE accounting and support.

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