AI Engineering Lead
- Posted 2 months ago
- Be among the first 10 applicants
Job Description
Role Overview - AI Engineering Lead
The AI Engineering Lead is a hands-on role, positioned at the intersection of AI innovation, engineering excellence, and customer impact. You won't just build systems; you'll transform complex business challenges into simple, elegant, and scalable AI solutions. You will be instrumental in transforming nascent ideas into production-ready artifacts, leading the development cycle from initial concept to live deployment.
This is a full-time onsite role at our office located in Bengaluru.
Responsibilities:
- Work alongside Architects to design secure, scalable, and resilient AI system architectures, ensuring solutions are robust and future-proof.
- Design, develop, and deploy entire backend services (APIs, data processing pipelines, and deployment infrastructure) necessary to serve high-performance AI applications to customers
- Providing detailed technical guidance, code reviews, and mentorship to Junior Engineers to uplift team capabilities and ensure high standards for code quality and performance
What we look for in Candidates:
- 3+ years of professional experience in Software Engineering, Data Engineering, or Machine Learning Engineering
- Minimum 1 year of hands-on experience specifically designing, developing, and deploying solutions utilizing Generative AI models (GenAI)
- Expert proficiency in Python for AI/ML development, coupled with strong engineering skills in either Java or JavaScript/TypeScript for production backend services
- Experience with cloud computing platforms (e.g., AWS, GCP, Azure), containerization (Docker, Kubernetes), and database systems (SQL/NoSQL)
- Demonstrated history of being a highly effective team player with excellent cross-functional communication skills
Why Join Us
- Opportunity to work on foundational research problems related to the field of Physical AI
- Be in an early stage company - grow with the company and shape our trajectory, in turn creating inorganic growth opportunities for yourself.
- Be in the right field at the right time - opportunity to grow and advance your career in the burgeoning field of AI.
- Be part of a fast-paced, ambitious research organization that is pushing the boundaries of AI across industries.
- Competitive salary and benefits.
To apply, please reach out to Ranji on [Confidential Information] with the subject line: Propheus: AI Engineering Lead Application
More Info
Key Skills
About Company
Skills:
Natural Language Processing (NLP), Tensorflow, Typescript, Javascript, Pytorch, Docker, Data Management, Python, AWS, Java, Node.js, Google Cloud, Kubernetes, Prompt engineering, Agent orchestration platforms, Go, Machine learning model training, LangGraph, OpenAI APIs, LangChain, Semantic retrieval, Evaluation techniques, LLMs, Vector databases, MCP protocol, AutogenAI, Real-time data pipelines, Multi-agent systems, Fine-tuning
Senior Engineer / Lead Engineer - Virtual Engineering - AI MLGeneral Motors Technical Centre India Private Limited
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Skills:
Exploratory Data Analysis, Sql, Tensorflow, Nosql, Azure ML, Pytorch, XGBoost, Python, Etl, data preprocessing, ML model evaluation, Scikit-learn, MLflow, Vertex AI, Kubeflow, feature engineering
Skills:
API design, Grafana, Typescript, Pandas, Datadog, Ocr, AWS, Redis, Node.js, Kubernetes, Python, Gcp, Docker, PostgreSQL, Javascript, spaCy, GitHub Actions, OpenAI, Claude, TesserAct, LangChain, microservices architecture, CI CD pipelines
Skills:
Spring Boot, Jpa, Rabbitmq, Java, Microservices, Python, Hibernate, PostgreSQL, Kafka, Rest Apis, NoSQL databases, ORM frameworks
Skills:
snowflake , Vue.JS, Sql, Django, Google Cloud, React, Angular, AWS, Pytorch, Node.js, Kubernetes, Nosql, Python, Azure, Docker, Git, Flask, Javascript, Restful Apis, Transformers, GANs, Scikit-learn, OpenAI bedrock models, Generative AI models