Devsinc is looking to hire a highly skilled AI & Data Engineer with 2+ years of hands-on experience in designing, building, fine-tuning, and deploying production-grade AI/ML systems, LLM-powered applications, and scalable data solutions. The ideal candidate should have strong expertise in developing intelligent systems, optimizing model performance, and building robust AI infrastructure for real-world business applications.
Key Responsibilities
- Design, build, and deploy ML/DL models for real-world use cases.
- Develop LLM-powered applications, including RAG pipelines, embeddings, vector databases, and prompt engineering workflows.
- Build scalable Python APIs, microservices, and backend services for AI systems.
- Implement MLOps pipelines for model training, deployment, monitoring, and optimization.
- Collaborate with cross-functional teams to deliver scalable AI solutions.
Requirements
- Bachelor’s in CS, SE, AI, Data Science, or related field.
- 2+ years of experience in AI/ML/Data Engineering.
- Strong hands-on experience with Python, SQL, PyTorch, TensorFlow, Scikit-learn, Hugging Face.
- Experience with LLMs, RAG, embeddings, vector databases, LoRA/PEFT.
- Experience with FastAPI/Flask, Docker, Kubernetes, CI/CD, and cloud platforms (AWS/Azure/GCP).
- Strong understanding of ML fundamentals, NLP, scalable system design, and production AI deployments.
Skills Required
- Bachelor's degree in Computer Science, Software Engineering, AI, Data Science, or related field
- 2.5+ years of hands-on experience in AI/ML Engineering, Data Engineering, or Backend Systems
- Strong proficiency in Python and SQL
- Hands-on experience in production-grade AI/data systems, relational/non-relational databases, and AI/ML libraries
- Hands-on experience with data engineering frameworks such as Apache Spark, Airflow, dbt, or Databricks
- Strong understanding of ML fundamentals, neural networks, NLP
- Proven experience in deploying AI models through APIs, microservices, and real-time inference systems
- Strong exposure to MLOps platforms and cloud ecosystems such as MLflow, SageMaker, Vertex AI, Weights & Biases, AWS, Azure, and GCP
- Proficiency in Docker, Kubernetes, and CI/CD pipelines
- Strong understanding of distributed systems, machine learning fundamentals, data architecture, security, and scalable system design
Devsinc Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Devsinc and has not been reviewed or approved by Devsinc.
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Healthcare Strength — OPD and IPD medical coverage, along with health insurance mentions, indicate a meaningful healthcare offering.
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Flexible Benefits — Work-from-home options, workation opportunities, and paid leave point to flexible arrangements for where and when work is done.
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Wellbeing & Lifestyle Benefits — Access to gyms and salons, plus various allowances and occasional trips or events, add lifestyle value beyond base pay.
Devsinc Insights
What We Do
We integrate global leaders in web development with passionate Asian talent to get a unique blend of Quality and Affordability. We are headquartered in California and work consistent eastern and pacific standard hours. We like ad hoc pairing as necessary, TDD, and working with other agencies to make things happen. We contribute to open source projects and genuinely enjoy coding. We are also committed to teaching, and spreading knowledge!
