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AI Engineer - (Python/Java ML/AI) @ Austin, TX - Onsite (W2 Only) H1b also fine (Austin)
AI Engineer - (Python/Java ML/AI) @ Austin, TX - Onsite (W2 Only) H1b also fine (Austin)AppLab Systems, Inc • Austin, Texas Metropolitan Area, US
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AI Engineer - (Python / Java ML / AI) @ Austin, TX - Onsite (W2 Only) H1b also fine (Austin)

AI Engineer - (Python / Java ML / AI) @ Austin, TX - Onsite (W2 Only) H1b also fine (Austin)

AppLab Systems, Inc • Austin, Texas Metropolitan Area, US
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  • [job_card.part_time]
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Job Title : AI Engineer (Python / Java ML / AI)

Location : Austin, TX Onsite

Type : Contract W2 Only / H1B also fine

Applied data science background (degree coursework, immersive bootcamp, or equivalent applied experience).

Proven ability to design and deliver applications, with experience making practical systems design tradeoffs.

Hands-on programming experience (Python required, plus one or more of Swift, Ruby , or JavaScript).

Experience building and integrating applications with LLMs.

Experience with vector databases, graph databases, or other structured retrieval approaches.

Ability to explain and apply AI engineering practices (retrieval, context management, evaluation methods, MLOps

patterns) to other engineers.

Strong communication skills to translate technical findings into clear guidance.

Preferred Qualifications

Ability to rapidly learn and apply new model capabilities and emerging AI research.

Ability to design and execute experiments with clear hypotheses, baselines, and success criteria.

Experience designing and running LLM evaluation pipelines that combine quantitative and qualitative methods, balance

precisionrecall tradeoffs and align metrics with user workflows.

Familiarity with Hugging Face ecosystem (Transformers, Datasets, evaluation libraries).

Experience with PyTorch for fine-tuning, evaluation, and lightweight model training.

Experience implementing a variety of model integration approaches such as LangChain and MCP

Thanks & Regards,

Yogesh Kumar

Email- yogesh.kumar@applabsystems.com

Phone - +1 609 629 2046 (USA)

AppLab Systems, Inc : An E-Verified Company

URL : https : / / applabsystems.com /

4365 Route 1 South, Suite 105 - Princeton, NJ -08540

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