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Css Corp

Artificial Intelligence Engineer

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  • Posted 4 days ago
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Job Description

Permanent Role: AI/ML Engineer – Generative AI & Agentic AI

Experience: 1- 4 years

Work Location: Bangalore

Work Mode: WFO – 5 Days Shift Timings: General Shift

About the Company

We are looking for a highly skilled AI/ML Engineer with hands-on expertise in Machine Learning, Deep Learning, Generative AI, and Agentic AI systems. The ideal candidate should have experience in designing, developing, deploying, and optimizing AI-driven solutions across both PoC and production environments. The role requires strong technical depth in AI/ML engineering, LLM-based application development, orchestration frameworks, and scalable AI solution delivery.

About the Role

We are looking for a highly skilled AI/ML Engineer with hands-on expertise in Machine Learning, Deep Learning, Generative AI, and Agentic AI systems.

Responsibilities

  • Design, develop, and deploy end-to-end AI/ML and Generative AI solutions.
  • Build and optimize ML, Deep Learning, and LLM-powered applications for real-world business use cases.
  • Develop Agentic AI workflows involving orchestration, tool usage, memory, planning, and multi-agent coordination.
  • Perform data preparation, feature engineering, model training, evaluation, deployment, and monitoring.
  • Build scalable AI pipelines and integrate AI services with enterprise systems and APIs.
  • Work with cross-functional teams to identify AI opportunities and translate business problems into AI solutions.
  • Implement MLOps, LLMOps, and observability practices for production-grade AI systems.
  • Continuously evaluate emerging AI technologies, frameworks, and best practices.

Qualifications

  • Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, Machine Learning, or related field.
  • Minimum 3+ years of hands-on experience in AI/ML, Data Science, Generative AI, or Agentic AI solution development.

Required Skills

  • Strong expertise in:
  • Machine Learning and Deep Learning
  • Generative AI and Large Language Models (LLMs)
  • Agentic AI architectures and orchestration frameworks
  • Prompt Engineering, RAG, AI agents, and workflow automation
  • Experience building and deploying AI applications in both PoC and production environments.
  • Strong proficiency in Python and AI/ML development libraries/frameworks.
  • Experience with modern AI frameworks and ecosystems such as:
  • Lang Chain, Llama Index, Crew Ai, AutoGen, Semantic Kernel, or similar
  • TensorFlow, PyTorch, Scikit-learn
  • Understanding of vector databases, embeddings, and semantic search concepts.
  • Experience with cloud platforms such as AWS, Azure, or GCP and AI services/platforms.
  • Knowledge of MLOps/LLMOps concepts including CI/CD, monitoring, observability, and model lifecycle management.
  • Familiarity with orchestration and workflow tools such as Airflow or Prefect.
  • Experience working with databases such as PostgreSQL, SQL Server, ClickHouse, or similar.
  • Strong analytical, problem-solving, communication, and collaboration skills.

Preferred Skills

  • Experience with multi-agent systems and autonomous AI workflows.
  • Exposure to AI infrastructure optimization, inference performance tuning, or scalable AI deployments.
  • Familiarity with Docker, Kubernetes, DevOps, and API-based architectures.
  • Experience with real-time data processing frameworks such as Spark.
  • Telecom domain knowledge (CM, PM, FM datasets across Nokia, Ericsson, Huawei, Samsung, etc.) is an added advantage.

Good to Have

  • Experience with visualization tools such as Tableau or Power BI.
  • AI/ML certifications or advanced specialization courses.
  • Exposure to Responsible AI, AI governance, and AI security best practices.

Key Traits

  • Strong ownership mindset with the ability to work independently.
  • Passion for continuous learning and exploring emerging AI technologies.
  • Ability to innovate and solve complex business problems using AI.
  • Effective stakeholder communication and collaboration skills.

Pay range and compensation package

Equal Opportunity Statement

We are committed to diversity and inclusivity.

More Info

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About Company

Job ID: 148085925

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